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<span class="mdl-layout-title toc">Table Of Contents</span>
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<ul>
<li class="toctree-l1"><a class="reference internal" href="tutorials/index.html">Python Tutorials</a><ul>
<li class="toctree-l2"><a class="reference internal" href="tutorials/getting-started/index.html">Getting Started</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/crash-course/index.html">Crash Course</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/0-introduction.html">Introduction</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/1-nparray.html">Step 1: Manipulate data with NP on MXNet</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/2-create-nn.html">Step 2: Create a neural network</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/3-autograd.html">Step 3: Automatic differentiation with autograd</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/4-components.html">Step 4: Necessary components that are not in the network</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/5-datasets.html">Step 5: <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s and <code class="docutils literal notranslate"><span class="pre">DataLoader</span></code></a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/5-datasets.html#Using-own-data-with-included-Datasets">Using own data with included <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/5-datasets.html#Using-your-own-data-with-custom-Datasets">Using your own data with custom <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/5-datasets.html#New-in-MXNet-2.0:-faster-C++-backend-dataloaders">New in MXNet 2.0: faster C++ backend dataloaders</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/6-train-nn.html">Step 6: Train a Neural Network</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/7-use-gpus.html">Step 7: Load and Run a NN using GPU</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/to-mxnet/index.html">Moving to MXNet from Other Frameworks</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/to-mxnet/pytorch.html">PyTorch vs Apache MXNet</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/gluon_from_experiment_to_deployment.html">Gluon: from experiment to deployment</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/gluon_migration_guide.html">Gluon2.0: Migration Guide</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/logistic_regression_explained.html">Logistic regression explained</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.apache.org/api/python/docs/tutorials/packages/gluon/image/mnist.html">MNIST</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorials/packages/index.html">Packages</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/autograd/index.html">Automatic Differentiation</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/gluon/index.html">Gluon</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/blocks/index.html">Blocks</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/custom-layer.html">Custom Layers</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/hybridize.html">Hybridize</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/init.html">Initialization</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/naming.html">Parameter and Block Naming</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/nn.html">Layers and Blocks</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/parameters.html">Parameter Management</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/save_load_params.html">Saving and Loading Gluon Models</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/activations/activations.html">Activation Blocks</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/data/index.html">Data Tutorials</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/data_augmentation.html">Image Augmentation</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/datasets.html">Gluon <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s and <code class="docutils literal notranslate"><span class="pre">DataLoader</span></code></a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/datasets.html#Using-own-data-with-included-Datasets">Using own data with included <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/datasets.html#Using-own-data-with-custom-Datasets">Using own data with custom <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/datasets.html#Appendix:-Upgrading-from-Module-DataIter-to-Gluon-DataLoader">Appendix: Upgrading from Module <code class="docutils literal notranslate"><span class="pre">DataIter</span></code> to Gluon <code class="docutils literal notranslate"><span class="pre">DataLoader</span></code></a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/image/index.html">Image Tutorials</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/image/info_gan.html">Image similarity search with InfoGAN</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/image/mnist.html">Handwritten Digit Recognition</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/loss/index.html">Losses</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/loss/custom-loss.html">Custom Loss Blocks</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/loss/kl_divergence.html">Kullback-Leibler (KL) Divergence</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/loss/loss.html">Loss functions</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/text/index.html">Text Tutorials</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/text/gnmt.html">Google Neural Machine Translation</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/text/transformer.html">Machine Translation with Transformer</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/training/index.html">Training</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/training/fit_api_tutorial.html">MXNet Gluon Fit API</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/training/trainer.html">Trainer</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/training/learning_rates/index.html">Learning Rates</a><ul>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/gluon/training/learning_rates/learning_rate_finder.html">Learning Rate Finder</a></li>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/gluon/training/learning_rates/learning_rate_schedules.html">Learning Rate Schedules</a></li>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/gluon/training/learning_rates/learning_rate_schedules_advanced.html">Advanced Learning Rate Schedules</a></li>
</ul>
</li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/training/normalization/index.html">Normalization Blocks</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/kvstore/index.html">KVStore</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/kvstore/kvstore.html">Distributed Key-Value Store</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/legacy/index.html">Legacy</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/legacy/ndarray/index.html">NDArray</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/01-ndarray-intro.html">An Intro: Manipulate Data the MXNet Way with NDArray</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/02-ndarray-operations.html">NDArray Operations</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/03-ndarray-contexts.html">NDArray Contexts</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/gotchas_numpy_in_mxnet.html">Gotchas using NumPy in Apache MXNet</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/sparse/index.html">Tutorials</a><ul>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/legacy/ndarray/sparse/csr.html">CSRNDArray - NDArray in Compressed Sparse Row Storage Format</a></li>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/legacy/ndarray/sparse/row_sparse.html">RowSparseNDArray - NDArray for Sparse Gradient Updates</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/np/index.html">What is NP on MXNet</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/np/cheat-sheet.html">The NP on MXNet cheat sheet</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/np/np-vs-numpy.html">Differences between NP on MXNet and NumPy</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/onnx/index.html">ONNX</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/onnx/fine_tuning_gluon.html">Fine-tuning an ONNX model</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/onnx/inference_on_onnx_model.html">Running inference on MXNet/Gluon from an ONNX model</a></li>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/python/docs/tutorials/deploy/export/onnx.html">Export ONNX Models</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/optimizer/index.html">Optimizers</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/viz/index.html">Visualization</a><ul>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/faq/visualize_graph">Visualize networks</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorials/performance/index.html">Performance</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/performance/compression/index.html">Compression</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/compression/int8.html">Deploy with int-8</a></li>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/faq/float16">Float16</a></li>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/faq/gradient_compression">Gradient Compression</a></li>
<li class="toctree-l4"><a class="reference external" href="https://gluon-cv.mxnet.io/build/examples_deployment/int8_inference.html">GluonCV with Quantized Models</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/performance/backend/index.html">Accelerated Backend Tools</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/backend/dnnl/index.html">oneDNN</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/performance/backend/dnnl/dnnl_readme.html">Install MXNet with oneDNN</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/performance/backend/dnnl/dnnl_quantization.html">oneDNN Quantization</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/performance/backend/dnnl/dnnl_quantization_inc.html">Improving accuracy with Intel® Neural Compressor</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/backend/tvm.html">Use TVM</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/backend/profiler.html">Profiling MXNet Models</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/backend/amp.html">Using AMP: Automatic Mixed Precision</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorials/deploy/index.html">Deployment</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/deploy/export/index.html">Export</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/export/onnx.html">Exporting to ONNX format</a></li>
<li class="toctree-l4"><a class="reference external" href="https://gluon-cv.mxnet.io/build/examples_deployment/export_network.html">Export Gluon CV Models</a></li>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/python/docs/tutorials/packages/gluon/blocks/save_load_params.html">Save / Load Parameters</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/deploy/inference/index.html">Inference</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/inference/cpp.html">Deploy into C++</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/inference/image_classification_jetson.html">Image Classication using pretrained ResNet-50 model on Jetson module</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/deploy/run-on-aws/index.html">Run on AWS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/run-on-aws/use_ec2.html">Run on an EC2 Instance</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/run-on-aws/use_sagemaker.html">Run on Amazon SageMaker</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/run-on-aws/cloud.html">MXNet on the Cloud</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorials/extend/index.html">Extend</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/extend/customop.html">Custom Numpy Operators</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.apache.org/api/faq/new_op">New Operator Creation</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.apache.org/api/faq/add_op_in_backend">New Operator in MXNet Backend</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.apache.org/api/faq/using_rtc">Using RTC for CUDA kernels</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="api/index.html">Python API</a><ul>
<li class="toctree-l2"><a class="reference internal" href="api/np/index.html">mxnet.np</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/np/arrays.html">Array objects</a><ul>
<li class="toctree-l4"><a class="reference internal" href="api/np/arrays.ndarray.html">The N-dimensional array (<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>)</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/np/arrays.indexing.html">Indexing</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="api/np/routines.html">Routines</a><ul>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.array-creation.html">Array creation routines</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.eye.html">mxnet.np.eye</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.empty.html">mxnet.np.empty</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.full.html">mxnet.np.full</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.identity.html">mxnet.np.identity</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ones.html">mxnet.np.ones</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ones_like.html">mxnet.np.ones_like</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.zeros.html">mxnet.np.zeros</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.zeros_like.html">mxnet.np.zeros_like</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.array.html">mxnet.np.array</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.copy.html">mxnet.np.copy</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arange.html">mxnet.np.arange</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linspace.html">mxnet.np.linspace</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.logspace.html">mxnet.np.logspace</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.meshgrid.html">mxnet.np.meshgrid</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tril.html">mxnet.np.tril</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.array-manipulation.html">Array manipulation routines</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.reshape.html">mxnet.np.reshape</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ravel.html">mxnet.np.ravel</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ndarray.flatten.html">mxnet.np.ndarray.flatten</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.swapaxes.html">mxnet.np.swapaxes</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ndarray.T.html">mxnet.np.ndarray.T</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.transpose.html">mxnet.np.transpose</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.moveaxis.html">mxnet.np.moveaxis</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.rollaxis.html">mxnet.np.rollaxis</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.expand_dims.html">mxnet.np.expand_dims</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.squeeze.html">mxnet.np.squeeze</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.broadcast_to.html">mxnet.np.broadcast_to</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.broadcast_arrays.html">mxnet.np.broadcast_arrays</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.atleast_1d.html">mxnet.np.atleast_1d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.atleast_2d.html">mxnet.np.atleast_2d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.atleast_3d.html">mxnet.np.atleast_3d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.concatenate.html">mxnet.np.concatenate</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.stack.html">mxnet.np.stack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.dstack.html">mxnet.np.dstack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.vstack.html">mxnet.np.vstack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.column_stack.html">mxnet.np.column_stack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.hstack.html">mxnet.np.hstack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.split.html">mxnet.np.split</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.hsplit.html">mxnet.np.hsplit</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.vsplit.html">mxnet.np.vsplit</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.array_split.html">mxnet.np.array_split</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.dsplit.html">mxnet.np.dsplit</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tile.html">mxnet.np.tile</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.repeat.html">mxnet.np.repeat</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.unique.html">mxnet.np.unique</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.delete.html">mxnet.np.delete</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.insert.html">mxnet.np.insert</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.append.html">mxnet.np.append</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.resize.html">mxnet.np.resize</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.trim_zeros.html">mxnet.np.trim_zeros</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.reshape.html">mxnet.np.reshape</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.flip.html">mxnet.np.flip</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.roll.html">mxnet.np.roll</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.rot90.html">mxnet.np.rot90</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fliplr.html">mxnet.np.fliplr</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.flipud.html">mxnet.np.flipud</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.io.html">Input and output</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.genfromtxt.html">mxnet.np.genfromtxt</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ndarray.tolist.html">mxnet.np.ndarray.tolist</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.set_printoptions.html">mxnet.np.set_printoptions</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.linalg.html">Linear algebra (<code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy.linalg</span></code>)</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.dot.html">mxnet.np.dot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.vdot.html">mxnet.np.vdot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.inner.html">mxnet.np.inner</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.outer.html">mxnet.np.outer</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tensordot.html">mxnet.np.tensordot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.einsum.html">mxnet.np.einsum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.multi_dot.html">mxnet.np.linalg.multi_dot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.matmul.html">mxnet.np.matmul</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.matrix_power.html">mxnet.np.linalg.matrix_power</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.kron.html">mxnet.np.kron</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.svd.html">mxnet.np.linalg.svd</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.cholesky.html">mxnet.np.linalg.cholesky</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.qr.html">mxnet.np.linalg.qr</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.eig.html">mxnet.np.linalg.eig</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.eigh.html">mxnet.np.linalg.eigh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.eigvals.html">mxnet.np.linalg.eigvals</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.eigvalsh.html">mxnet.np.linalg.eigvalsh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.norm.html">mxnet.np.linalg.norm</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.trace.html">mxnet.np.trace</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.cond.html">mxnet.np.linalg.cond</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.det.html">mxnet.np.linalg.det</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.matrix_rank.html">mxnet.np.linalg.matrix_rank</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.slogdet.html">mxnet.np.linalg.slogdet</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.solve.html">mxnet.np.linalg.solve</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.tensorsolve.html">mxnet.np.linalg.tensorsolve</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.lstsq.html">mxnet.np.linalg.lstsq</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.inv.html">mxnet.np.linalg.inv</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.pinv.html">mxnet.np.linalg.pinv</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.tensorinv.html">mxnet.np.linalg.tensorinv</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.math.html">Mathematical functions</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sin.html">mxnet.np.sin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cos.html">mxnet.np.cos</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tan.html">mxnet.np.tan</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arcsin.html">mxnet.np.arcsin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arccos.html">mxnet.np.arccos</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arctan.html">mxnet.np.arctan</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.degrees.html">mxnet.np.degrees</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.radians.html">mxnet.np.radians</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.hypot.html">mxnet.np.hypot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arctan2.html">mxnet.np.arctan2</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.deg2rad.html">mxnet.np.deg2rad</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.rad2deg.html">mxnet.np.rad2deg</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.unwrap.html">mxnet.np.unwrap</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sinh.html">mxnet.np.sinh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cosh.html">mxnet.np.cosh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tanh.html">mxnet.np.tanh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arcsinh.html">mxnet.np.arcsinh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arccosh.html">mxnet.np.arccosh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arctanh.html">mxnet.np.arctanh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.rint.html">mxnet.np.rint</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fix.html">mxnet.np.fix</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.floor.html">mxnet.np.floor</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ceil.html">mxnet.np.ceil</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.trunc.html">mxnet.np.trunc</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.around.html">mxnet.np.around</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.round_.html">mxnet.np.round_</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sum.html">mxnet.np.sum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.prod.html">mxnet.np.prod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cumsum.html">mxnet.np.cumsum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanprod.html">mxnet.np.nanprod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nansum.html">mxnet.np.nansum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cumprod.html">mxnet.np.cumprod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nancumprod.html">mxnet.np.nancumprod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nancumsum.html">mxnet.np.nancumsum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.diff.html">mxnet.np.diff</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ediff1d.html">mxnet.np.ediff1d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cross.html">mxnet.np.cross</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.trapz.html">mxnet.np.trapz</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.exp.html">mxnet.np.exp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.expm1.html">mxnet.np.expm1</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.log.html">mxnet.np.log</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.log10.html">mxnet.np.log10</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.log2.html">mxnet.np.log2</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.log1p.html">mxnet.np.log1p</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.logaddexp.html">mxnet.np.logaddexp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.i0.html">mxnet.np.i0</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ldexp.html">mxnet.np.ldexp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.signbit.html">mxnet.np.signbit</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.copysign.html">mxnet.np.copysign</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.frexp.html">mxnet.np.frexp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.spacing.html">mxnet.np.spacing</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.lcm.html">mxnet.np.lcm</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.gcd.html">mxnet.np.gcd</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.add.html">mxnet.np.add</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.reciprocal.html">mxnet.np.reciprocal</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.negative.html">mxnet.np.negative</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.divide.html">mxnet.np.divide</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.power.html">mxnet.np.power</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.subtract.html">mxnet.np.subtract</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.mod.html">mxnet.np.mod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.multiply.html">mxnet.np.multiply</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.true_divide.html">mxnet.np.true_divide</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.remainder.html">mxnet.np.remainder</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.positive.html">mxnet.np.positive</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.float_power.html">mxnet.np.float_power</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fmod.html">mxnet.np.fmod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.modf.html">mxnet.np.modf</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.divmod.html">mxnet.np.divmod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.floor_divide.html">mxnet.np.floor_divide</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.clip.html">mxnet.np.clip</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sqrt.html">mxnet.np.sqrt</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cbrt.html">mxnet.np.cbrt</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.square.html">mxnet.np.square</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.absolute.html">mxnet.np.absolute</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sign.html">mxnet.np.sign</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.maximum.html">mxnet.np.maximum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.minimum.html">mxnet.np.minimum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fabs.html">mxnet.np.fabs</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.heaviside.html">mxnet.np.heaviside</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fmax.html">mxnet.np.fmax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fmin.html">mxnet.np.fmin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nan_to_num.html">mxnet.np.nan_to_num</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.interp.html">mxnet.np.interp</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/random/index.html">np.random</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.choice.html">mxnet.np.random.choice</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.shuffle.html">mxnet.np.random.shuffle</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.normal.html">mxnet.np.random.normal</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.uniform.html">mxnet.np.random.uniform</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.rand.html">mxnet.np.random.rand</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.randint.html">mxnet.np.random.randint</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.beta.html">mxnet.np.random.beta</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.chisquare.html">mxnet.np.random.chisquare</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.exponential.html">mxnet.np.random.exponential</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.f.html">mxnet.np.random.f</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.gamma.html">mxnet.np.random.gamma</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.gumbel.html">mxnet.np.random.gumbel</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.laplace.html">mxnet.np.random.laplace</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.logistic.html">mxnet.np.random.logistic</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.lognormal.html">mxnet.np.random.lognormal</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.multinomial.html">mxnet.np.random.multinomial</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.multivariate_normal.html">mxnet.np.random.multivariate_normal</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.pareto.html">mxnet.np.random.pareto</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.power.html">mxnet.np.random.power</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.rayleigh.html">mxnet.np.random.rayleigh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.weibull.html">mxnet.np.random.weibull</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.sort.html">Sorting, searching, and counting</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ndarray.sort.html">mxnet.np.ndarray.sort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sort.html">mxnet.np.sort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.lexsort.html">mxnet.np.lexsort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argsort.html">mxnet.np.argsort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.msort.html">mxnet.np.msort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.partition.html">mxnet.np.partition</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argpartition.html">mxnet.np.argpartition</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argmax.html">mxnet.np.argmax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argmin.html">mxnet.np.argmin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanargmax.html">mxnet.np.nanargmax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanargmin.html">mxnet.np.nanargmin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argwhere.html">mxnet.np.argwhere</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nonzero.html">mxnet.np.nonzero</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.flatnonzero.html">mxnet.np.flatnonzero</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.where.html">mxnet.np.where</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.searchsorted.html">mxnet.np.searchsorted</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.extract.html">mxnet.np.extract</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.count_nonzero.html">mxnet.np.count_nonzero</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.statistics.html">Statistics</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.min.html">mxnet.np.min</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.max.html">mxnet.np.max</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.amin.html">mxnet.np.amin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.amax.html">mxnet.np.amax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanmin.html">mxnet.np.nanmin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanmax.html">mxnet.np.nanmax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ptp.html">mxnet.np.ptp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.percentile.html">mxnet.np.percentile</a></li>
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<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanquantile.html">mxnet.np.nanquantile</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.mean.html">mxnet.np.mean</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.std.html">mxnet.np.std</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.var.html">mxnet.np.var</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.median.html">mxnet.np.median</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.average.html">mxnet.np.average</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanmedian.html">mxnet.np.nanmedian</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanstd.html">mxnet.np.nanstd</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanvar.html">mxnet.np.nanvar</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.corrcoef.html">mxnet.np.corrcoef</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.correlate.html">mxnet.np.correlate</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cov.html">mxnet.np.cov</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.histogram.html">mxnet.np.histogram</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.histogram2d.html">mxnet.np.histogram2d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.histogramdd.html">mxnet.np.histogramdd</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.bincount.html">mxnet.np.bincount</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.histogram_bin_edges.html">mxnet.np.histogram_bin_edges</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.digitize.html">mxnet.np.digitize</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/npx/index.html">NPX: NumPy Neural Network Extension</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.set_np.html">mxnet.npx.set_np</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.reset_np.html">mxnet.npx.reset_np</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.cpu.html">mxnet.npx.cpu</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.cpu_pinned.html">mxnet.npx.cpu_pinned</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.gpu.html">mxnet.npx.gpu</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.gpu_memory_info.html">mxnet.npx.gpu_memory_info</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.current_device.html">mxnet.npx.current_device</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.num_gpus.html">mxnet.npx.num_gpus</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.activation.html">mxnet.npx.activation</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.batch_norm.html">mxnet.npx.batch_norm</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.convolution.html">mxnet.npx.convolution</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.dropout.html">mxnet.npx.dropout</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.embedding.html">mxnet.npx.embedding</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.fully_connected.html">mxnet.npx.fully_connected</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.layer_norm.html">mxnet.npx.layer_norm</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.pooling.html">mxnet.npx.pooling</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.rnn.html">mxnet.npx.rnn</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.leaky_relu.html">mxnet.npx.leaky_relu</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.multibox_detection.html">mxnet.npx.multibox_detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.multibox_prior.html">mxnet.npx.multibox_prior</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.multibox_target.html">mxnet.npx.multibox_target</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.roi_pooling.html">mxnet.npx.roi_pooling</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.sigmoid.html">mxnet.npx.sigmoid</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.relu.html">mxnet.npx.relu</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.smooth_l1.html">mxnet.npx.smooth_l1</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.softmax.html">mxnet.npx.softmax</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.log_softmax.html">mxnet.npx.log_softmax</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.topk.html">mxnet.npx.topk</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.waitall.html">mxnet.npx.waitall</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.load.html">mxnet.npx.load</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.save.html">mxnet.npx.save</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.one_hot.html">mxnet.npx.one_hot</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.pick.html">mxnet.npx.pick</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.reshape_like.html">mxnet.npx.reshape_like</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.batch_flatten.html">mxnet.npx.batch_flatten</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.batch_dot.html">mxnet.npx.batch_dot</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.gamma.html">mxnet.npx.gamma</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.sequence_mask.html">mxnet.npx.sequence_mask</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/gluon/index.html">mxnet.gluon</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/block.html">gluon.Block</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/hybrid_block.html">gluon.HybridBlock</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/symbol_block.html">gluon.SymbolBlock</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/constant.html">gluon.Constant</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/parameter.html">gluon.Parameter</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/trainer.html">gluon.Trainer</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/contrib/index.html">gluon.contrib</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/data/index.html">gluon.data</a><ul>
<li class="toctree-l4"><a class="reference internal" href="api/gluon/data/vision/index.html">data.vision</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="api/kvstore/index.html">KVStore: Communication for Distributed Training</a></li>
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<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.Horovod.html">mxnet.kvstore.Horovod</a></li>
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<li class="toctree-l2"><a class="reference internal" href="api/kvstore/index.html#byteps">BytePS</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.BytePS.html">mxnet.kvstore.BytePS</a></li>
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<li class="toctree-l2"><a class="reference internal" href="api/kvstore/index.html#kvstore-interface">KVStore Interface</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.KVStore.html">mxnet.kvstore.KVStore</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html">mxnet.kvstore.KVStoreBase</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.KVStoreServer.html">mxnet.kvstore.KVStoreServer</a></li>
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<li class="toctree-l3"><a class="reference internal" href="api/legacy/callback/index.html">mxnet.callback</a></li>
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<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/sparse/index.html">ndarray.sparse</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/utils/index.html">ndarray.utils</a></li>
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<li class="toctree-l3"><a class="reference internal" href="api/legacy/recordio/index.html">mxnet.recordio</a></li>
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<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/symbol.html">symbol</a></li>
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<span class="mdl-layout-title toc">Table Of Contents</span>
<nav class="mdl-navigation">
<ul>
<li class="toctree-l1"><a class="reference internal" href="tutorials/index.html">Python Tutorials</a><ul>
<li class="toctree-l2"><a class="reference internal" href="tutorials/getting-started/index.html">Getting Started</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/crash-course/index.html">Crash Course</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/0-introduction.html">Introduction</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/1-nparray.html">Step 1: Manipulate data with NP on MXNet</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/2-create-nn.html">Step 2: Create a neural network</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/3-autograd.html">Step 3: Automatic differentiation with autograd</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/4-components.html">Step 4: Necessary components that are not in the network</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/5-datasets.html">Step 5: <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s and <code class="docutils literal notranslate"><span class="pre">DataLoader</span></code></a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/5-datasets.html#Using-own-data-with-included-Datasets">Using own data with included <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/5-datasets.html#Using-your-own-data-with-custom-Datasets">Using your own data with custom <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/5-datasets.html#New-in-MXNet-2.0:-faster-C++-backend-dataloaders">New in MXNet 2.0: faster C++ backend dataloaders</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/6-train-nn.html">Step 6: Train a Neural Network</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/crash-course/7-use-gpus.html">Step 7: Load and Run a NN using GPU</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/to-mxnet/index.html">Moving to MXNet from Other Frameworks</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/getting-started/to-mxnet/pytorch.html">PyTorch vs Apache MXNet</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/gluon_from_experiment_to_deployment.html">Gluon: from experiment to deployment</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/gluon_migration_guide.html">Gluon2.0: Migration Guide</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/getting-started/logistic_regression_explained.html">Logistic regression explained</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.apache.org/api/python/docs/tutorials/packages/gluon/image/mnist.html">MNIST</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorials/packages/index.html">Packages</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/autograd/index.html">Automatic Differentiation</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/gluon/index.html">Gluon</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/blocks/index.html">Blocks</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/custom-layer.html">Custom Layers</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/hybridize.html">Hybridize</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/init.html">Initialization</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/naming.html">Parameter and Block Naming</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/nn.html">Layers and Blocks</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/parameters.html">Parameter Management</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/save_load_params.html">Saving and Loading Gluon Models</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/blocks/activations/activations.html">Activation Blocks</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/data/index.html">Data Tutorials</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/data_augmentation.html">Image Augmentation</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/datasets.html">Gluon <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s and <code class="docutils literal notranslate"><span class="pre">DataLoader</span></code></a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/datasets.html#Using-own-data-with-included-Datasets">Using own data with included <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/datasets.html#Using-own-data-with-custom-Datasets">Using own data with custom <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>s</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/data/datasets.html#Appendix:-Upgrading-from-Module-DataIter-to-Gluon-DataLoader">Appendix: Upgrading from Module <code class="docutils literal notranslate"><span class="pre">DataIter</span></code> to Gluon <code class="docutils literal notranslate"><span class="pre">DataLoader</span></code></a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/image/index.html">Image Tutorials</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/image/info_gan.html">Image similarity search with InfoGAN</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/image/mnist.html">Handwritten Digit Recognition</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/loss/index.html">Losses</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/loss/custom-loss.html">Custom Loss Blocks</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/loss/kl_divergence.html">Kullback-Leibler (KL) Divergence</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/loss/loss.html">Loss functions</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/text/index.html">Text Tutorials</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/text/gnmt.html">Google Neural Machine Translation</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/text/transformer.html">Machine Translation with Transformer</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/gluon/training/index.html">Training</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/training/fit_api_tutorial.html">MXNet Gluon Fit API</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/training/trainer.html">Trainer</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/training/learning_rates/index.html">Learning Rates</a><ul>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/gluon/training/learning_rates/learning_rate_finder.html">Learning Rate Finder</a></li>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/gluon/training/learning_rates/learning_rate_schedules.html">Learning Rate Schedules</a></li>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/gluon/training/learning_rates/learning_rate_schedules_advanced.html">Advanced Learning Rate Schedules</a></li>
</ul>
</li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/gluon/training/normalization/index.html">Normalization Blocks</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/kvstore/index.html">KVStore</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/kvstore/kvstore.html">Distributed Key-Value Store</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/legacy/index.html">Legacy</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/legacy/ndarray/index.html">NDArray</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/01-ndarray-intro.html">An Intro: Manipulate Data the MXNet Way with NDArray</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/02-ndarray-operations.html">NDArray Operations</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/03-ndarray-contexts.html">NDArray Contexts</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/gotchas_numpy_in_mxnet.html">Gotchas using NumPy in Apache MXNet</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/packages/legacy/ndarray/sparse/index.html">Tutorials</a><ul>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/legacy/ndarray/sparse/csr.html">CSRNDArray - NDArray in Compressed Sparse Row Storage Format</a></li>
<li class="toctree-l6"><a class="reference internal" href="tutorials/packages/legacy/ndarray/sparse/row_sparse.html">RowSparseNDArray - NDArray for Sparse Gradient Updates</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/np/index.html">What is NP on MXNet</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/np/cheat-sheet.html">The NP on MXNet cheat sheet</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/np/np-vs-numpy.html">Differences between NP on MXNet and NumPy</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/onnx/index.html">ONNX</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/onnx/fine_tuning_gluon.html">Fine-tuning an ONNX model</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/packages/onnx/inference_on_onnx_model.html">Running inference on MXNet/Gluon from an ONNX model</a></li>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/python/docs/tutorials/deploy/export/onnx.html">Export ONNX Models</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/optimizer/index.html">Optimizers</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/packages/viz/index.html">Visualization</a><ul>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/faq/visualize_graph">Visualize networks</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorials/performance/index.html">Performance</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/performance/compression/index.html">Compression</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/compression/int8.html">Deploy with int-8</a></li>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/faq/float16">Float16</a></li>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/faq/gradient_compression">Gradient Compression</a></li>
<li class="toctree-l4"><a class="reference external" href="https://gluon-cv.mxnet.io/build/examples_deployment/int8_inference.html">GluonCV with Quantized Models</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/performance/backend/index.html">Accelerated Backend Tools</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/backend/dnnl/index.html">oneDNN</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorials/performance/backend/dnnl/dnnl_readme.html">Install MXNet with oneDNN</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/performance/backend/dnnl/dnnl_quantization.html">oneDNN Quantization</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorials/performance/backend/dnnl/dnnl_quantization_inc.html">Improving accuracy with Intel® Neural Compressor</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/backend/tvm.html">Use TVM</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/backend/profiler.html">Profiling MXNet Models</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/performance/backend/amp.html">Using AMP: Automatic Mixed Precision</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorials/deploy/index.html">Deployment</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/deploy/export/index.html">Export</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/export/onnx.html">Exporting to ONNX format</a></li>
<li class="toctree-l4"><a class="reference external" href="https://gluon-cv.mxnet.io/build/examples_deployment/export_network.html">Export Gluon CV Models</a></li>
<li class="toctree-l4"><a class="reference external" href="https://mxnet.apache.org/api/python/docs/tutorials/packages/gluon/blocks/save_load_params.html">Save / Load Parameters</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/deploy/inference/index.html">Inference</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/inference/cpp.html">Deploy into C++</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/inference/image_classification_jetson.html">Image Classication using pretrained ResNet-50 model on Jetson module</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorials/deploy/run-on-aws/index.html">Run on AWS</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/run-on-aws/use_ec2.html">Run on an EC2 Instance</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/run-on-aws/use_sagemaker.html">Run on Amazon SageMaker</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorials/deploy/run-on-aws/cloud.html">MXNet on the Cloud</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorials/extend/index.html">Extend</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorials/extend/customop.html">Custom Numpy Operators</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.apache.org/api/faq/new_op">New Operator Creation</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.apache.org/api/faq/add_op_in_backend">New Operator in MXNet Backend</a></li>
<li class="toctree-l3"><a class="reference external" href="https://mxnet.apache.org/api/faq/using_rtc">Using RTC for CUDA kernels</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="api/index.html">Python API</a><ul>
<li class="toctree-l2"><a class="reference internal" href="api/np/index.html">mxnet.np</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/np/arrays.html">Array objects</a><ul>
<li class="toctree-l4"><a class="reference internal" href="api/np/arrays.ndarray.html">The N-dimensional array (<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>)</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/np/arrays.indexing.html">Indexing</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="api/np/routines.html">Routines</a><ul>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.array-creation.html">Array creation routines</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.eye.html">mxnet.np.eye</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.empty.html">mxnet.np.empty</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.full.html">mxnet.np.full</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.identity.html">mxnet.np.identity</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ones.html">mxnet.np.ones</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ones_like.html">mxnet.np.ones_like</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.zeros.html">mxnet.np.zeros</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.zeros_like.html">mxnet.np.zeros_like</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.array.html">mxnet.np.array</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.copy.html">mxnet.np.copy</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arange.html">mxnet.np.arange</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linspace.html">mxnet.np.linspace</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.logspace.html">mxnet.np.logspace</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.meshgrid.html">mxnet.np.meshgrid</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tril.html">mxnet.np.tril</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.array-manipulation.html">Array manipulation routines</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.reshape.html">mxnet.np.reshape</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ravel.html">mxnet.np.ravel</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ndarray.flatten.html">mxnet.np.ndarray.flatten</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.swapaxes.html">mxnet.np.swapaxes</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ndarray.T.html">mxnet.np.ndarray.T</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.transpose.html">mxnet.np.transpose</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.moveaxis.html">mxnet.np.moveaxis</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.rollaxis.html">mxnet.np.rollaxis</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.expand_dims.html">mxnet.np.expand_dims</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.squeeze.html">mxnet.np.squeeze</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.broadcast_to.html">mxnet.np.broadcast_to</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.broadcast_arrays.html">mxnet.np.broadcast_arrays</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.atleast_1d.html">mxnet.np.atleast_1d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.atleast_2d.html">mxnet.np.atleast_2d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.atleast_3d.html">mxnet.np.atleast_3d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.concatenate.html">mxnet.np.concatenate</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.stack.html">mxnet.np.stack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.dstack.html">mxnet.np.dstack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.vstack.html">mxnet.np.vstack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.column_stack.html">mxnet.np.column_stack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.hstack.html">mxnet.np.hstack</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.split.html">mxnet.np.split</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.hsplit.html">mxnet.np.hsplit</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.vsplit.html">mxnet.np.vsplit</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.array_split.html">mxnet.np.array_split</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.dsplit.html">mxnet.np.dsplit</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tile.html">mxnet.np.tile</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.repeat.html">mxnet.np.repeat</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.unique.html">mxnet.np.unique</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.delete.html">mxnet.np.delete</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.insert.html">mxnet.np.insert</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.append.html">mxnet.np.append</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.resize.html">mxnet.np.resize</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.trim_zeros.html">mxnet.np.trim_zeros</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.reshape.html">mxnet.np.reshape</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.flip.html">mxnet.np.flip</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.roll.html">mxnet.np.roll</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.rot90.html">mxnet.np.rot90</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fliplr.html">mxnet.np.fliplr</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.flipud.html">mxnet.np.flipud</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.io.html">Input and output</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.genfromtxt.html">mxnet.np.genfromtxt</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ndarray.tolist.html">mxnet.np.ndarray.tolist</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.set_printoptions.html">mxnet.np.set_printoptions</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.linalg.html">Linear algebra (<code class="xref py py-mod docutils literal notranslate"><span class="pre">numpy.linalg</span></code>)</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.dot.html">mxnet.np.dot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.vdot.html">mxnet.np.vdot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.inner.html">mxnet.np.inner</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.outer.html">mxnet.np.outer</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tensordot.html">mxnet.np.tensordot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.einsum.html">mxnet.np.einsum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.multi_dot.html">mxnet.np.linalg.multi_dot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.matmul.html">mxnet.np.matmul</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.matrix_power.html">mxnet.np.linalg.matrix_power</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.kron.html">mxnet.np.kron</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.svd.html">mxnet.np.linalg.svd</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.cholesky.html">mxnet.np.linalg.cholesky</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.qr.html">mxnet.np.linalg.qr</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.eig.html">mxnet.np.linalg.eig</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.eigh.html">mxnet.np.linalg.eigh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.eigvals.html">mxnet.np.linalg.eigvals</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.eigvalsh.html">mxnet.np.linalg.eigvalsh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.norm.html">mxnet.np.linalg.norm</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.trace.html">mxnet.np.trace</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.cond.html">mxnet.np.linalg.cond</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.det.html">mxnet.np.linalg.det</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.matrix_rank.html">mxnet.np.linalg.matrix_rank</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.slogdet.html">mxnet.np.linalg.slogdet</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.solve.html">mxnet.np.linalg.solve</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.tensorsolve.html">mxnet.np.linalg.tensorsolve</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.lstsq.html">mxnet.np.linalg.lstsq</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.inv.html">mxnet.np.linalg.inv</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.pinv.html">mxnet.np.linalg.pinv</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.linalg.tensorinv.html">mxnet.np.linalg.tensorinv</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.math.html">Mathematical functions</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sin.html">mxnet.np.sin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cos.html">mxnet.np.cos</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tan.html">mxnet.np.tan</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arcsin.html">mxnet.np.arcsin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arccos.html">mxnet.np.arccos</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arctan.html">mxnet.np.arctan</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.degrees.html">mxnet.np.degrees</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.radians.html">mxnet.np.radians</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.hypot.html">mxnet.np.hypot</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arctan2.html">mxnet.np.arctan2</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.deg2rad.html">mxnet.np.deg2rad</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.rad2deg.html">mxnet.np.rad2deg</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.unwrap.html">mxnet.np.unwrap</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sinh.html">mxnet.np.sinh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cosh.html">mxnet.np.cosh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.tanh.html">mxnet.np.tanh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arcsinh.html">mxnet.np.arcsinh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arccosh.html">mxnet.np.arccosh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.arctanh.html">mxnet.np.arctanh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.rint.html">mxnet.np.rint</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fix.html">mxnet.np.fix</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.floor.html">mxnet.np.floor</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ceil.html">mxnet.np.ceil</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.trunc.html">mxnet.np.trunc</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.around.html">mxnet.np.around</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.round_.html">mxnet.np.round_</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sum.html">mxnet.np.sum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.prod.html">mxnet.np.prod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cumsum.html">mxnet.np.cumsum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanprod.html">mxnet.np.nanprod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nansum.html">mxnet.np.nansum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cumprod.html">mxnet.np.cumprod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nancumprod.html">mxnet.np.nancumprod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nancumsum.html">mxnet.np.nancumsum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.diff.html">mxnet.np.diff</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ediff1d.html">mxnet.np.ediff1d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cross.html">mxnet.np.cross</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.trapz.html">mxnet.np.trapz</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.exp.html">mxnet.np.exp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.expm1.html">mxnet.np.expm1</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.log.html">mxnet.np.log</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.log10.html">mxnet.np.log10</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.log2.html">mxnet.np.log2</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.log1p.html">mxnet.np.log1p</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.logaddexp.html">mxnet.np.logaddexp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.i0.html">mxnet.np.i0</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ldexp.html">mxnet.np.ldexp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.signbit.html">mxnet.np.signbit</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.copysign.html">mxnet.np.copysign</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.frexp.html">mxnet.np.frexp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.spacing.html">mxnet.np.spacing</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.lcm.html">mxnet.np.lcm</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.gcd.html">mxnet.np.gcd</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.add.html">mxnet.np.add</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.reciprocal.html">mxnet.np.reciprocal</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.negative.html">mxnet.np.negative</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.divide.html">mxnet.np.divide</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.power.html">mxnet.np.power</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.subtract.html">mxnet.np.subtract</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.mod.html">mxnet.np.mod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.multiply.html">mxnet.np.multiply</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.true_divide.html">mxnet.np.true_divide</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.remainder.html">mxnet.np.remainder</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.positive.html">mxnet.np.positive</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.float_power.html">mxnet.np.float_power</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fmod.html">mxnet.np.fmod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.modf.html">mxnet.np.modf</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.divmod.html">mxnet.np.divmod</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.floor_divide.html">mxnet.np.floor_divide</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.clip.html">mxnet.np.clip</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sqrt.html">mxnet.np.sqrt</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cbrt.html">mxnet.np.cbrt</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.square.html">mxnet.np.square</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.absolute.html">mxnet.np.absolute</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sign.html">mxnet.np.sign</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.maximum.html">mxnet.np.maximum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.minimum.html">mxnet.np.minimum</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fabs.html">mxnet.np.fabs</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.heaviside.html">mxnet.np.heaviside</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fmax.html">mxnet.np.fmax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.fmin.html">mxnet.np.fmin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nan_to_num.html">mxnet.np.nan_to_num</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.interp.html">mxnet.np.interp</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/random/index.html">np.random</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.choice.html">mxnet.np.random.choice</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.shuffle.html">mxnet.np.random.shuffle</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.normal.html">mxnet.np.random.normal</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.uniform.html">mxnet.np.random.uniform</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.rand.html">mxnet.np.random.rand</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.randint.html">mxnet.np.random.randint</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.beta.html">mxnet.np.random.beta</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.chisquare.html">mxnet.np.random.chisquare</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.exponential.html">mxnet.np.random.exponential</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.f.html">mxnet.np.random.f</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.gamma.html">mxnet.np.random.gamma</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.gumbel.html">mxnet.np.random.gumbel</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.laplace.html">mxnet.np.random.laplace</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.logistic.html">mxnet.np.random.logistic</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.lognormal.html">mxnet.np.random.lognormal</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.multinomial.html">mxnet.np.random.multinomial</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.multivariate_normal.html">mxnet.np.random.multivariate_normal</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.pareto.html">mxnet.np.random.pareto</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.power.html">mxnet.np.random.power</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.rayleigh.html">mxnet.np.random.rayleigh</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/random/generated/mxnet.np.random.weibull.html">mxnet.np.random.weibull</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.sort.html">Sorting, searching, and counting</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ndarray.sort.html">mxnet.np.ndarray.sort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.sort.html">mxnet.np.sort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.lexsort.html">mxnet.np.lexsort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argsort.html">mxnet.np.argsort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.msort.html">mxnet.np.msort</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.partition.html">mxnet.np.partition</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argpartition.html">mxnet.np.argpartition</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argmax.html">mxnet.np.argmax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argmin.html">mxnet.np.argmin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanargmax.html">mxnet.np.nanargmax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanargmin.html">mxnet.np.nanargmin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.argwhere.html">mxnet.np.argwhere</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nonzero.html">mxnet.np.nonzero</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.flatnonzero.html">mxnet.np.flatnonzero</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.where.html">mxnet.np.where</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.searchsorted.html">mxnet.np.searchsorted</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.extract.html">mxnet.np.extract</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.count_nonzero.html">mxnet.np.count_nonzero</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="api/np/routines.statistics.html">Statistics</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.min.html">mxnet.np.min</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.max.html">mxnet.np.max</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.amin.html">mxnet.np.amin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.amax.html">mxnet.np.amax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanmin.html">mxnet.np.nanmin</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanmax.html">mxnet.np.nanmax</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.ptp.html">mxnet.np.ptp</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.percentile.html">mxnet.np.percentile</a></li>
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<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanquantile.html">mxnet.np.nanquantile</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.mean.html">mxnet.np.mean</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.std.html">mxnet.np.std</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.var.html">mxnet.np.var</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.median.html">mxnet.np.median</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.average.html">mxnet.np.average</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanmedian.html">mxnet.np.nanmedian</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanstd.html">mxnet.np.nanstd</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.nanvar.html">mxnet.np.nanvar</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.corrcoef.html">mxnet.np.corrcoef</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.correlate.html">mxnet.np.correlate</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.cov.html">mxnet.np.cov</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.histogram.html">mxnet.np.histogram</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.histogram2d.html">mxnet.np.histogram2d</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.histogramdd.html">mxnet.np.histogramdd</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.bincount.html">mxnet.np.bincount</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.histogram_bin_edges.html">mxnet.np.histogram_bin_edges</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/np/generated/mxnet.np.digitize.html">mxnet.np.digitize</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/npx/index.html">NPX: NumPy Neural Network Extension</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.set_np.html">mxnet.npx.set_np</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.reset_np.html">mxnet.npx.reset_np</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.cpu.html">mxnet.npx.cpu</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.cpu_pinned.html">mxnet.npx.cpu_pinned</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.gpu.html">mxnet.npx.gpu</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.gpu_memory_info.html">mxnet.npx.gpu_memory_info</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.current_device.html">mxnet.npx.current_device</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.num_gpus.html">mxnet.npx.num_gpus</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.activation.html">mxnet.npx.activation</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.batch_norm.html">mxnet.npx.batch_norm</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.convolution.html">mxnet.npx.convolution</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.dropout.html">mxnet.npx.dropout</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.embedding.html">mxnet.npx.embedding</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.fully_connected.html">mxnet.npx.fully_connected</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.layer_norm.html">mxnet.npx.layer_norm</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.pooling.html">mxnet.npx.pooling</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.rnn.html">mxnet.npx.rnn</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.leaky_relu.html">mxnet.npx.leaky_relu</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.multibox_detection.html">mxnet.npx.multibox_detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.multibox_prior.html">mxnet.npx.multibox_prior</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.multibox_target.html">mxnet.npx.multibox_target</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.roi_pooling.html">mxnet.npx.roi_pooling</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.sigmoid.html">mxnet.npx.sigmoid</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.relu.html">mxnet.npx.relu</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.smooth_l1.html">mxnet.npx.smooth_l1</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.softmax.html">mxnet.npx.softmax</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.log_softmax.html">mxnet.npx.log_softmax</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.topk.html">mxnet.npx.topk</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.waitall.html">mxnet.npx.waitall</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.load.html">mxnet.npx.load</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.save.html">mxnet.npx.save</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.one_hot.html">mxnet.npx.one_hot</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.pick.html">mxnet.npx.pick</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.reshape_like.html">mxnet.npx.reshape_like</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.batch_flatten.html">mxnet.npx.batch_flatten</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.batch_dot.html">mxnet.npx.batch_dot</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.gamma.html">mxnet.npx.gamma</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/npx/generated/mxnet.npx.sequence_mask.html">mxnet.npx.sequence_mask</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/gluon/index.html">mxnet.gluon</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/block.html">gluon.Block</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/hybrid_block.html">gluon.HybridBlock</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/symbol_block.html">gluon.SymbolBlock</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/constant.html">gluon.Constant</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/parameter.html">gluon.Parameter</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/trainer.html">gluon.Trainer</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/contrib/index.html">gluon.contrib</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/data/index.html">gluon.data</a><ul>
<li class="toctree-l4"><a class="reference internal" href="api/gluon/data/vision/index.html">data.vision</a><ul>
<li class="toctree-l5"><a class="reference internal" href="api/gluon/data/vision/datasets/index.html">vision.datasets</a></li>
<li class="toctree-l5"><a class="reference internal" href="api/gluon/data/vision/transforms/index.html">vision.transforms</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/loss/index.html">gluon.loss</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/metric/index.html">gluon.metric</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/model_zoo/index.html">gluon.model_zoo.vision</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/nn/index.html">gluon.nn</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/rnn/index.html">gluon.rnn</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/gluon/utils/index.html">gluon.utils</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/autograd/index.html">mxnet.autograd</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/initializer/index.html">mxnet.initializer</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/optimizer/index.html">mxnet.optimizer</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/lr_scheduler/index.html">mxnet.lr_scheduler</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/kvstore/index.html">KVStore: Communication for Distributed Training</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/kvstore/index.html#horovod">Horovod</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.Horovod.html">mxnet.kvstore.Horovod</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/kvstore/index.html#byteps">BytePS</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.BytePS.html">mxnet.kvstore.BytePS</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/kvstore/index.html#kvstore-interface">KVStore Interface</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.KVStore.html">mxnet.kvstore.KVStore</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html">mxnet.kvstore.KVStoreBase</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/kvstore/generated/mxnet.kvstore.KVStoreServer.html">mxnet.kvstore.KVStoreServer</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/contrib/index.html">mxnet.contrib</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/contrib/io/index.html">contrib.io</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/contrib/ndarray/index.html">contrib.ndarray</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/contrib/onnx/index.html">contrib.onnx</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/contrib/quantization/index.html">contrib.quantization</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/contrib/symbol/index.html">contrib.symbol</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/contrib/tensorboard/index.html">contrib.tensorboard</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/contrib/tensorrt/index.html">contrib.tensorrt</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/contrib/text/index.html">contrib.text</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/legacy/index.html">Legacy</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/legacy/callback/index.html">mxnet.callback</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/legacy/image/index.html">mxnet.image</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/legacy/io/index.html">mxnet.io</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/legacy/ndarray/index.html">mxnet.ndarray</a><ul>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/ndarray.html">ndarray</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/contrib/index.html">ndarray.contrib</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/image/index.html">ndarray.image</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/linalg/index.html">ndarray.linalg</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/op/index.html">ndarray.op</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/random/index.html">ndarray.random</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/register/index.html">ndarray.register</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/sparse/index.html">ndarray.sparse</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/ndarray/utils/index.html">ndarray.utils</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="api/legacy/recordio/index.html">mxnet.recordio</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/legacy/symbol/index.html">mxnet.symbol</a><ul>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/symbol.html">symbol</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/contrib/index.html">symbol.contrib</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/image/index.html">symbol.image</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/linalg/index.html">symbol.linalg</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/op/index.html">symbol.op</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/random/index.html">symbol.random</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/register/index.html">symbol.register</a></li>
<li class="toctree-l4"><a class="reference internal" href="api/legacy/symbol/sparse/index.html">symbol.sparse</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="api/legacy/visualization/index.html">mxnet.visualization</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/device/index.html">mxnet.device</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/engine/index.html">mxnet.engine</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/executor/index.html">mxnet.executor</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/kvstore_server/index.html">mxnet.kvstore_server</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/profiler/index.html">mxnet.profiler</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/rtc/index.html">mxnet.rtc</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/runtime/index.html">mxnet.runtime</a><ul>
<li class="toctree-l3"><a class="reference internal" href="api/runtime/generated/mxnet.runtime.Feature.html">mxnet.runtime.Feature</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/runtime/generated/mxnet.runtime.Features.html">mxnet.runtime.Features</a></li>
<li class="toctree-l3"><a class="reference internal" href="api/runtime/generated/mxnet.runtime.feature_list.html">mxnet.runtime.feature_list</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="api/test_utils/index.html">mxnet.test_utils</a></li>
<li class="toctree-l2"><a class="reference internal" href="api/util/index.html">mxnet.util</a></li>
</ul>
</li>
</ul>
</nav>
</div>
</header>
<div class="document">
<div class="page-content" role="main">
<h1 id="index">Index</h1>
<div class="genindex-jumpbox">
<a href="#_"><strong>_</strong></a>
| <a href="#A"><strong>A</strong></a>
| <a href="#B"><strong>B</strong></a>
| <a href="#C"><strong>C</strong></a>
| <a href="#D"><strong>D</strong></a>
| <a href="#E"><strong>E</strong></a>
| <a href="#F"><strong>F</strong></a>
| <a href="#G"><strong>G</strong></a>
| <a href="#H"><strong>H</strong></a>
| <a href="#I"><strong>I</strong></a>
| <a href="#K"><strong>K</strong></a>
| <a href="#L"><strong>L</strong></a>
| <a href="#M"><strong>M</strong></a>
| <a href="#N"><strong>N</strong></a>
| <a href="#O"><strong>O</strong></a>
| <a href="#P"><strong>P</strong></a>
| <a href="#Q"><strong>Q</strong></a>
| <a href="#R"><strong>R</strong></a>
| <a href="#S"><strong>S</strong></a>
| <a href="#T"><strong>T</strong></a>
| <a href="#U"><strong>U</strong></a>
| <a href="#V"><strong>V</strong></a>
| <a href="#W"><strong>W</strong></a>
| <a href="#X"><strong>X</strong></a>
| <a href="#Z"><strong>Z</strong></a>
</div>
<h2 id="_">_</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.__init__">__init__() (BytePS method)</a>
<ul>
<li><a href="api/runtime/generated/mxnet.runtime.Feature.html#mxnet.runtime.Feature.__init__">(Feature method)</a>
</li>
<li><a href="api/runtime/generated/mxnet.runtime.Features.html#mxnet.runtime.Features.__init__">(Features method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.__init__">(Horovod method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.__init__">(KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.__init__">(KVStoreBase method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreServer.html#mxnet.kvstore.KVStoreServer.__init__">(KVStoreServer method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="A">A</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.abs">abs() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.abs">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.abs">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.abs">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.abs">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.abs">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.abs">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.abs">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.absolute.html#mxnet.np.absolute">absolute() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Accuracy">Accuracy (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation">Activation (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Activation">Activation() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Activation">(in module mxnet.ndarray.op)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.activation.html#mxnet.npx.activation">activation() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Activation">Activation() (in module mxnet.symbol)</a>
<ul>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Activation">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaBelief">AdaBelief (class in mxnet.optimizer)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaDelta">AdaDelta (class in mxnet.optimizer)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaGrad">AdaGrad (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.adagrad_update">adagrad_update() (in module mxnet.ndarray.sparse)</a>
<ul>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.adagrad_update">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Adam">Adam (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.adam_update">adam_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.adam_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.adam_update">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.adam_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.adam_update">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.adam_update">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Adamax">Adamax (class in mxnet.optimizer)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.AdaptiveAvgPooling2D">AdaptiveAvgPooling2D() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.AdaptiveAvgPooling2D">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.AdaptiveAvgPooling2D">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.AdaptiveAvgPooling2D">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CompositeEvalMetric.add">add() (CompositeEvalMetric method)</a>
<ul>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.add">(Concatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.add">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.add">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.add">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.add">(in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.add">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.add.html#mxnet.np.add">(in module mxnet.np)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Sequential.add">(Sequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.add">(SequentialRNNCell method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.add_n">add_n() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.add_n">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.add_n">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.add_n">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.add_n">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.add_n">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.adjust_lighting">adjust_lighting() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.adjust_lighting">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet">AlexNet (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.alexnet">alexnet() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-3">aligned</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.all_finite">all_finite() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.all_finite">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.all_finite">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.all_finite">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.allclose">allclose() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.allclose">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.allclose">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.allclose">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/trainer.html#mxnet.gluon.Trainer.allreduce_grads">allreduce_grads() (Trainer method)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.almost_equal">almost_equal() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/np/generated/mxnet.np.amax.html#mxnet.np.amax">amax() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.amin.html#mxnet.np.amin">amin() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.amp_cast">amp_cast() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.amp_cast">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.amp_cast">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.amp_cast">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.amp_multicast">amp_multicast() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.amp_multicast">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.amp_multicast">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.amp_multicast">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.append.html#mxnet.np.append">append() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.apply">apply() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.apply">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.apply">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.apply">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.apply">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.apply">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.apply">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.apply">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.apply">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.apply">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.apply">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.apply">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.apply">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.apply">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.apply">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.apply">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.apply">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.apply">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.apply">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.apply">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.apply">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.apply">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.apply">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.apply">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.apply">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.apply">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.apply">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.apply">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.apply">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.apply">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.apply">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.apply">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.apply">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.apply">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.apply">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.apply">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.apply">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.apply">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.apply">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.apply">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.apply">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.apply">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.apply">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.apply">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.apply">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.apply">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.apply">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.apply">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.apply">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.apply">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.apply">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.apply">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.apply">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.apply">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.apply">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.apply">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.apply">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.apply">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.apply">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.apply">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.apply">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.apply">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.apply">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.apply">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.apply">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.apply">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.apply">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.apply">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.apply">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.apply">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.apply">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.apply">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.apply">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.apply">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.arange">arange() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.arange.html#mxnet.np.arange">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.arange">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.arange_like">arange_like() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.arange_like">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.arange_like">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.arange_like">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.arccos">arccos() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.arccos">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.arccos">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.arccos.html#mxnet.np.arccos">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.arccos">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.arccos">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.arccos">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.arccos">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.arccos">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.arccosh">arccosh() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.arccosh">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.arccosh">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.arccosh.html#mxnet.np.arccosh">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.arccosh">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.arccosh">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.arccosh">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.arccosh">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.arccosh">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.arcsin">arcsin() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.arcsin">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.arcsin">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.arcsin.html#mxnet.np.arcsin">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.arcsin">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.arcsin">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.arcsin">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.arcsin">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.arcsin">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.arcsinh">arcsinh() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.arcsinh">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.arcsinh">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.arcsinh.html#mxnet.np.arcsinh">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.arcsinh">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.arcsinh">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.arcsinh">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.arcsinh">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.arcsinh">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.arctan">arctan() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.arctan">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.arctan">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.arctan.html#mxnet.np.arctan">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.arctan">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.arctan">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.arctan">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.arctan">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.arctan">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.arctan2.html#mxnet.np.arctan2">arctan2() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.arctanh">arctanh() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.arctanh">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.arctanh">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.arctanh.html#mxnet.np.arctanh">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.arctanh">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.arctanh">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.arctanh">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.arctanh">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.arctanh">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.arg_arrays">arg_arrays() (Executor property)</a>
</li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.arg_dict">arg_dict() (Executor property)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.argmax">argmax() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.argmax">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.argmax.html#mxnet.np.argmax">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.argmax">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.argmax">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.argmax">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.argmax">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.argmax_channel">argmax_channel() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.argmax_channel">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.argmax_channel">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.argmax_channel">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.argmax_channel">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.argmax_channel">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.argmin">argmin() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.argmin">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.argmin.html#mxnet.np.argmin">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.argmin">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.argmin">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.argmin">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.argmin">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.argpartition.html#mxnet.np.argpartition">argpartition() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.argsort">argsort() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.argsort">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.argsort.html#mxnet.np.argsort">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.argsort">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.argsort">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.argsort">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.argsort">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.argwhere.html#mxnet.np.argwhere">argwhere() (in module mxnet.np)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-5">arithmetic</a>
</li>
<li><a href="api/np/generated/mxnet.np.around.html#mxnet.np.around">around() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.array">array() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/utils/index.html#mxnet.ndarray.utils.array">(in module mxnet.ndarray.utils)</a>
</li>
<li><a href="api/np/generated/mxnet.np.array.html#mxnet.np.array">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.array_split.html#mxnet.np.array_split">array_split() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.ArrayDataset">ArrayDataset (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.as_in_context">as_in_context() (NDArray method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.as_nd_ndarray">as_nd_ndarray() (NDArray method)</a>
<ul>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.as_nd_ndarray">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.as_np_ndarray">as_np_ndarray() (NDArray method)</a>
<ul>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.as_np_ndarray">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.BaseSparseNDArray.asnumpy">asnumpy() (BaseSparseNDArray method)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.asnumpy">(NDArray method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.asscalar">asscalar() (NDArray method)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.CSRNDArray.asscipy">asscipy() (CSRNDArray method)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.assert_almost_equal">assert_almost_equal() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.assert_almost_equal_ignore_nan">assert_almost_equal_ignore_nan() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.assert_almost_equal_with_err">assert_almost_equal_with_err() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.assert_exception">assert_exception() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.assign_each">assign_each() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.assign_each2">assign_each2() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.BaseSparseNDArray.astype">astype() (BaseSparseNDArray method)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.astype">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.astype">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.atleast_1d.html#mxnet.np.atleast_1d">atleast_1d() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.atleast_2d.html#mxnet.np.atleast_2d">atleast_2d() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.atleast_3d.html#mxnet.np.atleast_3d">atleast_3d() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.attach_grad">attach_grad() (NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.attr">attr() (Symbol method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.attr_dict">attr_dict() (Symbol method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageDetIter.augmentation_transform">augmentation_transform() (ImageDetIter method)</a>
<ul>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.augmentation_transform">(ImageIter method)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.Augmenter">Augmenter (class in mxnet.image)</a>
</li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.aux_arrays">aux_arrays() (Executor property)</a>
</li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.aux_dict">aux_dict() (Executor property)</a>
</li>
<li><a href="api/np/generated/mxnet.np.average.html#mxnet.np.average">average() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.AvgPool1D">AvgPool1D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.AvgPool2D">AvgPool2D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.AvgPool3D">AvgPool3D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-4">axis</a>
</li>
</ul></td>
</tr></table>
<h2 id="B">B</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/executor/index.html#mxnet.executor.Executor.backward">backward() (Executor method)</a>
<ul>
<li><a href="api/autograd/index.html#mxnet.autograd.Function.backward">(Function method)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.backward">(in module mxnet.autograd)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.backward">(NDArray method)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.backward_gradientmultiplier">backward_gradientmultiplier() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.backward_gradientmultiplier">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.backward_gradientmultiplier">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.backward_gradientmultiplier">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.backward_hawkesll">backward_hawkesll() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.backward_hawkesll">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.backward_hawkesll">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.backward_hawkesll">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.backward_index_copy">backward_index_copy() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.backward_index_copy">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.backward_index_copy">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.backward_index_copy">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.backward_quadratic">backward_quadratic() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.backward_quadratic">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.backward_quadratic">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.backward_quadratic">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/arrays.ndarray.html#index-0">base</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.BaseSparseNDArray">BaseSparseNDArray (class in mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1">BasicBlockV1 (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2">BasicBlockV2 (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.batch_dot">batch_dot() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.batch_dot">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.batch_dot.html#mxnet.npx.batch_dot">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.batch_dot">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.batch_dot">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.batch_flatten.html#mxnet.npx.batch_flatten">batch_flatten() (in module mxnet.npx)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.batch_norm.html#mxnet.npx.batch_norm">batch_norm() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.batch_take">batch_take() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.batch_take">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.batch_take">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.batch_take">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.BatchNorm">BatchNorm (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.BatchNorm">BatchNorm() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.BatchNorm">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.BatchNorm">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.BatchNorm">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.BatchProcessor">BatchProcessor (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.BatchSampler">BatchSampler (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.begin_state">begin_state() (BidirectionalCell method)</a>
<ul>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.begin_state">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.begin_state">(GRUCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.begin_state">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.begin_state">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.begin_state">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.begin_state">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.begin_state">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.begin_state">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.begin_state">(RNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.begin_state">(SequentialRNNCell method)</a>
</li>
</ul></li>
<li><a href="api/np/random/generated/mxnet.np.random.beta.html#mxnet.np.random.beta">beta() (in module mxnet.np.random)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell">BidirectionalCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.Bilinear">Bilinear (class in mxnet.initializer)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.BilinearResize2D">BilinearResize2D() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.BilinearResize2D">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.BilinearResize2D">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.BilinearResize2D">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.BilinearSampler">BilinearSampler() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.BilinearSampler">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.BilinearSampler">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.BilinearSampler">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.BinaryAccuracy">BinaryAccuracy (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/np/generated/mxnet.np.bincount.html#mxnet.np.bincount">bincount() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.binomial">binomial() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.binomial">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.binomial_like">binomial_like() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.binomial_like">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.bipartite_matching">bipartite_matching() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.bipartite_matching">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.bipartite_matching">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.bipartite_matching">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block">Block (class in mxnet.gluon)</a>
<ul>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block">(class in mxnet.gluon.nn)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.BlockGrad">BlockGrad() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.BlockGrad">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.BlockGrad">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.BlockGrad">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.boolean_mask">boolean_mask() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.boolean_mask">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.boolean_mask">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.boolean_mask">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1">BottleneckV1 (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2">BottleneckV2 (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.box_decode">box_decode() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.box_decode">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.box_decode">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.box_decode">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.box_encode">box_encode() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.box_encode">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.box_encode">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.box_encode">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.box_iou">box_iou() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.box_iou">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.box_iou">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.box_iou">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.box_nms">box_nms() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.box_nms">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.box_nms">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.box_nms">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.box_non_maximum_suppression">box_non_maximum_suppression() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.box_non_maximum_suppression">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.box_non_maximum_suppression">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.box_non_maximum_suppression">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.BrightnessJitterAug">BrightnessJitterAug (class in mxnet.image)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.broadcast">broadcast() (BytePS method)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.broadcast">(Horovod method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.broadcast">(KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.broadcast">(KVStoreBase method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_add">broadcast_add() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_add">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.broadcast_add">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_add">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_add">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.broadcast_add">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/generated/mxnet.np.broadcast_arrays.html#mxnet.np.broadcast_arrays">broadcast_arrays() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_axes">broadcast_axes() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_axes">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_axes">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_axes">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.broadcast_axes">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.broadcast_axes">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_axis">broadcast_axis() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_axis">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_axis">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_axis">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_div">broadcast_div() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_div">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.broadcast_div">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_div">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_div">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.broadcast_div">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_equal">broadcast_equal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_equal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_equal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_equal">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_greater">broadcast_greater() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_greater">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_greater">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_greater">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_greater_equal">broadcast_greater_equal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_greater_equal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_greater_equal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_greater_equal">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_hypot">broadcast_hypot() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_hypot">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_hypot">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_hypot">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_lesser">broadcast_lesser() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_lesser">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_lesser">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_lesser">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_lesser_equal">broadcast_lesser_equal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_lesser_equal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_lesser_equal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_lesser_equal">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_like">broadcast_like() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_like">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_like">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_like">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.broadcast_like">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.broadcast_like">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_logical_and">broadcast_logical_and() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_logical_and">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_logical_and">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_logical_and">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_logical_or">broadcast_logical_or() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_logical_or">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_logical_or">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_logical_or">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_logical_xor">broadcast_logical_xor() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_logical_xor">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_logical_xor">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_logical_xor">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_maximum">broadcast_maximum() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_maximum">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_maximum">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_maximum">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_minimum">broadcast_minimum() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_minimum">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_minimum">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_minimum">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_minus">broadcast_minus() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_minus">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.broadcast_minus">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_minus">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_minus">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.broadcast_minus">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_mod">broadcast_mod() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_mod">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_mod">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_mod">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_mul">broadcast_mul() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_mul">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.broadcast_mul">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_mul">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_mul">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.broadcast_mul">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_not_equal">broadcast_not_equal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_not_equal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_not_equal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_not_equal">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_plus">broadcast_plus() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_plus">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.broadcast_plus">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_plus">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_plus">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.broadcast_plus">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_power">broadcast_power() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_power">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_power">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_power">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_sub">broadcast_sub() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_sub">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.broadcast_sub">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_sub">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_sub">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.broadcast_sub">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.broadcast_to">broadcast_to() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.broadcast_to">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.broadcast_to.html#mxnet.np.broadcast_to">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.broadcast_to">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.broadcast_to">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.broadcast_to">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.broadcast_to">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/engine/index.html#mxnet.engine.bulk">bulk() (in module mxnet.engine)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS">BytePS (class in mxnet.kvstore)</a>
</li>
</ul></td>
</tr></table>
<h2 id="C">C</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/arrays.ndarray.html#index-1">C-order</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.CachedOp">CachedOp (class in mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.CachedOp">(class in mxnet.ndarray.op)</a>
</li>
</ul></li>
<li><a href="api/contrib/quantization/index.html#mxnet.contrib.quantization.calib_graph">calib_graph() (in module mxnet.contrib.quantization)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.calibrate_entropy">calibrate_entropy() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.calibrate_entropy">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.calibrate_entropy">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.calibrate_entropy">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/quantization/index.html#mxnet.contrib.quantization.CalibrationCollector">CalibrationCollector (class in mxnet.contrib.quantization)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast">Cast (class in mxnet.gluon.data.vision.transforms)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.cast">cast() (BidirectionalCell method)</a>
<ul>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.cast">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.cast">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.cast">(Concatenate method)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.cast">(Constant method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.cast">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.cast">(GRUCell method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.cast">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.cast">[1]</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.cast">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.cast">(HybridSequentialRNNCell method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Cast">Cast() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.cast">cast() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Cast">Cast() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.cast">cast() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Cast">Cast() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.cast">cast() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Cast">Cast() (in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.cast">cast() (in module mxnet.symbol.op)</a>
<ul>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.cast">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.cast">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.cast">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.cast">(Parameter method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.cast">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.cast">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.cast">(RNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.cast">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock.cast">(SymbolBlock method)</a>, <a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.cast">[1]</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.cast">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.cast">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.cast_storage">cast_storage() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.cast_storage">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.cast_storage">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.cast_storage">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.cast_storage">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.cast_storage">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.CastAug">CastAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.categorical">categorical() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.categorical">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.cbrt">cbrt() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.cbrt">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.cbrt">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.cbrt.html#mxnet.np.cbrt">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.cbrt">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.cbrt">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.cbrt">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.cbrt">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.cbrt">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ceil">ceil() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.ceil">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.ceil">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.ceil.html#mxnet.np.ceil">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ceil">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.ceil">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.ceil">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.ceil">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.ceil">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.center_crop">center_crop() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.CenterCropAug">CenterCropAug (class in mxnet.image)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.check_consistency">check_consistency() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.check_data_shape">check_data_shape() (ImageIter method)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.BaseSparseNDArray.check_format">check_format() (BaseSparseNDArray method)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.check_gluon_hybridize_consistency">check_gluon_hybridize_consistency() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageDetIter.check_label_shape">check_label_shape() (ImageDetIter method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.check_label_shapes">check_label_shapes() (in module mxnet.gluon.metric)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.check_numeric_gradient">check_numeric_gradient() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/utils/index.html#mxnet.gluon.utils.check_sha1">check_sha1() (in module mxnet.gluon.utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.check_speed">check_speed() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.check_symbolic_backward">check_symbolic_backward() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.check_symbolic_forward">check_symbolic_forward() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.check_valid_image">check_valid_image() (ImageIter method)</a>
</li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.CheckpointHandler">CheckpointHandler (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.chi_square_check">chi_square_check() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.chisquare.html#mxnet.np.random.chisquare">chisquare() (in module mxnet.np.random)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.choice.html#mxnet.np.random.choice">choice() (in module mxnet.np.random)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.cholesky.html#mxnet.np.linalg.cholesky">cholesky() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.choose_element_0index">choose_element_0index() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.choose_element_0index">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.choose_element_0index">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.choose_element_0index">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.CIFAR10">CIFAR10 (class in mxnet.gluon.data.vision.datasets)</a>
</li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.CIFAR100">CIFAR100 (class in mxnet.gluon.data.vision.datasets)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.clip">clip() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.clip">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.clip">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.clip.html#mxnet.np.clip">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.clip">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.clip">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.clip">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.clip">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.clip">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/utils/index.html#mxnet.gluon.utils.clip_global_norm">clip_global_norm() (in module mxnet.gluon.utils)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXIndexedRecordIO.close">close() (MXIndexedRecordIO method)</a>
<ul>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXRecordIO.close">(MXRecordIO method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.col2im">col2im() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.col2im">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.col2im">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.col2im">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.collapse_sum_like">collapse_sum_like() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/contrib/quantization/index.html#mxnet.contrib.quantization.CalibrationCollector.collect">collect() (CalibrationCollector method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.collect_params">collect_params() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.collect_params">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.collect_params">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.collect_params">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.collect_params">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.collect_params">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.collect_params">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.collect_params">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.collect_params">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.collect_params">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.collect_params">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.collect_params">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.collect_params">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.collect_params">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.collect_params">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.collect_params">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.collect_params">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.collect_params">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.collect_params">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.collect_params">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.collect_params">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.collect_params">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.collect_params">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.collect_params">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.collect_params">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.collect_params">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.collect_params">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.collect_params">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.collect_params">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.collect_params">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.collect_params">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.collect_params">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.collect_params">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.collect_params">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.collect_params">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.collect_params">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.collect_params">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.collect_params">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.collect_params">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.collect_params">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.collect_params">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.collect_params">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.collect_params">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.collect_params">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.collect_params">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.collect_params">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.collect_params">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.collect_params">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.collect_params">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.collect_params">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.collect_params">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.collect_params">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.collect_params">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.collect_params">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.collect_params">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.collect_params">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.collect_params">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.collect_params">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.collect_params">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.collect_params">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.collect_params">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.collect_params">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.collect_params">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.collect_params">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.collect_params">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.collect_params">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.collect_params">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.collect_params">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.collect_params">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.collect_params">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.collect_params">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.collect_params">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.collect_params">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.collect_params">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/image/index.html#mxnet.image.color_normalize">color_normalize() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ColorJitterAug">ColorJitterAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ColorNormalizeAug">ColorNormalizeAug (class in mxnet.image)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-1">column-major</a>
</li>
<li><a href="api/np/generated/mxnet.np.column_stack.html#mxnet.np.column_stack">column_stack() (in module mxnet.np)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.compare_ndarray_tuple">compare_ndarray_tuple() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.compare_optimizer">compare_optimizer() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.compare_optimizer_noise_seeded">compare_optimizer_noise_seeded() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-5">comparison</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Compose">Compose (class in mxnet.gluon.data.vision.transforms)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CompositeEvalMetric">CompositeEvalMetric (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Concat">Concat() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.concat">concat() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Concat">Concat() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.concat">concat() (in module mxnet.ndarray.op)</a>
<ul>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.concat">(in module mxnet.ndarray.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Concat">Concat() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.concat">concat() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Concat">Concat() (in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.concat">concat() (in module mxnet.symbol.op)</a>
<ul>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.concat">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate">Concatenate (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.concatenate">concatenate() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.concatenate.html#mxnet.np.concatenate">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.cond">cond() (in module mxnet.ndarray.contrib)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.linalg.cond.html#mxnet.np.linalg.cond">(in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.cond">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant">Constant (class in mxnet.gluon)</a>
<ul>
<li><a href="api/initializer/index.html#mxnet.initializer.Constant">(class in mxnet.initializer)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.context">context() (NDArray property)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-2">contiguous</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ContrastJitterAug">ContrastJitterAug (class in mxnet.image)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Conv1D">Conv1D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv1DGRUCell">Conv1DGRUCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv1DLSTMCell">Conv1DLSTMCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv1DRNNCell">Conv1DRNNCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Conv1DTranspose">Conv1DTranspose (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Conv2D">Conv2D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv2DGRUCell">Conv2DGRUCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv2DLSTMCell">Conv2DLSTMCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv2DRNNCell">Conv2DRNNCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Conv2DTranspose">Conv2DTranspose (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Conv3D">Conv3D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv3DGRUCell">Conv3DGRUCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv3DLSTMCell">Conv3DLSTMCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.Conv3DRNNCell">Conv3DRNNCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Conv3DTranspose">Conv3DTranspose (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Convolution">Convolution() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Convolution">(in module mxnet.ndarray.op)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.convolution.html#mxnet.npx.convolution">convolution() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Convolution">Convolution() (in module mxnet.symbol)</a>
<ul>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Convolution">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.copy.html#mxnet.np.copy">copy() (in module mxnet.np)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.copy">(NDArray method)</a>
</li>
</ul></li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.copy_params_from">copy_params_from() (Executor method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.copyMakeBorder">copyMakeBorder() (in module mxnet.image)</a>
</li>
<li><a href="api/np/generated/mxnet.np.copysign.html#mxnet.np.copysign">copysign() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.BaseSparseNDArray.copyto">copyto() (BaseSparseNDArray method)</a>
<ul>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.CSRNDArray.copyto">(CSRNDArray method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.copyto">(NDArray method)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.RowSparseNDArray.copyto">(RowSparseNDArray method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.corrcoef.html#mxnet.np.corrcoef">corrcoef() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.correlate.html#mxnet.np.correlate">correlate() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Correlation">Correlation() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Correlation">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Correlation">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Correlation">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.cos">cos() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.cos">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.cos">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.cos.html#mxnet.np.cos">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.cos">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.cos">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.cos">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.cos">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.cos">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.cosh">cosh() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.cosh">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.cosh">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.cosh.html#mxnet.np.cosh">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.cosh">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.cosh">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.cosh">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.cosh">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.cosh">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss">CosineEmbeddingLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/lr_scheduler/index.html#mxnet.lr_scheduler.CosineScheduler">CosineScheduler (class in mxnet.lr_scheduler)</a>
</li>
<li><a href="api/np/generated/mxnet.np.count_nonzero.html#mxnet.np.count_nonzero">count_nonzero() (in module mxnet.np)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.count_sketch">count_sketch() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.count_sketch">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.count_sketch">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.count_sketch">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.Counter">Counter (class in mxnet.profiler)</a>
</li>
<li><a href="api/np/generated/mxnet.np.cov.html#mxnet.np.cov">cov() (in module mxnet.np)</a>
</li>
<li><a href="api/device/index.html#mxnet.device.cpu">cpu() (in module mxnet.device)</a>
<ul>
<li><a href="api/npx/generated/mxnet.npx.cpu.html#mxnet.npx.cpu">(in module mxnet.npx)</a>
</li>
</ul></li>
<li><a href="api/device/index.html#mxnet.device.cpu_pinned">cpu_pinned() (in module mxnet.device)</a>
<ul>
<li><a href="api/npx/generated/mxnet.npx.cpu_pinned.html#mxnet.npx.cpu_pinned">(in module mxnet.npx)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.create">create() (in module mxnet.gluon.metric)</a>
<ul>
<li><a href="api/optimizer/index.html#mxnet.optimizer.create">(in module mxnet.optimizer)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.create_optimizer">create_optimizer() (Optimizer static method)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.create_sparse_array">create_sparse_array() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.create_sparse_array_zd">create_sparse_array_zd() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaBelief.create_state">create_state() (AdaBelief method)</a>
<ul>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaDelta.create_state">(AdaDelta method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaGrad.create_state">(AdaGrad method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Adam.create_state">(Adam method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Adamax.create_state">(Adamax method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.DCASGD.create_state">(DCASGD method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.FTML.create_state">(FTML method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Ftrl.create_state">(Ftrl method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LAMB.create_state">(LAMB method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LANS.create_state">(LANS method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LARS.create_state">(LARS method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Nadam.create_state">(Nadam method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.NAG.create_state">(NAG method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.create_state">(Optimizer method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.RMSProp.create_state">(RMSProp method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.SGD.create_state">(SGD method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.SGLD.create_state">(SGLD method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Signum.create_state">(Signum method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Test.create_state">(Test method)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.create_state_multi_precision">create_state_multi_precision() (Optimizer method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.CreateAugmenter">CreateAugmenter() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.CreateDetAugmenter">CreateDetAugmenter() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.CreateMultiRandCropAugmenter">CreateMultiRandCropAugmenter() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Crop">Crop() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.crop">crop() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.crop">(in module mxnet.ndarray.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Crop">Crop() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.crop">crop() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Crop">Crop() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.crop">crop() (in module mxnet.symbol)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.crop">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Crop">Crop() (in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.crop">crop() (in module mxnet.symbol.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.cross.html#mxnet.np.cross">cross() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CrossEntropy">CrossEntropy (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.csr_matrix">csr_matrix() (in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.CSRNDArray">CSRNDArray (class in mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.CSVIter">CSVIter() (in module mxnet.io)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.ctc_loss">ctc_loss() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.ctc_loss">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ctc_loss">(in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.ctc_loss">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.ctc_loss">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ctc_loss">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.ctc_loss">(in module mxnet.symbol.contrib)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.ctc_loss">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss">CTCLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.CTCLoss">CTCLoss() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.CTCLoss">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.CTCLoss">(in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.CTCLoss">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.CTCLoss">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.CTCLoss">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.CTCLoss">(in module mxnet.symbol.contrib)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.CTCLoss">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.ctx">ctx() (NDArray property)</a>
</li>
<li><a href="api/rtc/index.html#mxnet.rtc.CudaKernel">CudaKernel (class in mxnet.rtc)</a>
</li>
<li><a href="api/rtc/index.html#mxnet.rtc.CudaModule">CudaModule (class in mxnet.rtc)</a>
</li>
<li><a href="api/np/generated/mxnet.np.cumprod.html#mxnet.np.cumprod">cumprod() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.cumsum">cumsum() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.cumsum">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.cumsum.html#mxnet.np.cumsum">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.cumsum">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.cumsum">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/device/index.html#mxnet.device.current_device">current_device() (in module mxnet.device)</a>
<ul>
<li><a href="api/npx/generated/mxnet.npx.current_device.html#mxnet.npx.current_device">(in module mxnet.npx)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Custom">Custom() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Custom">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Custom">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Custom">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CustomMetric">CustomMetric (class in mxnet.gluon.metric)</a>
</li>
</ul></td>
</tr></table>
<h2 id="D">D</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.data">data() (Constant method)</a>
<ul>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.CSRNDArray.data">(CSRNDArray property)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.data">(Parameter method)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.RowSparseNDArray.data">(RowSparseNDArray property)</a>
</li>
</ul></li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataBatch">DataBatch (class in mxnet.io)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataDesc">DataDesc (class in mxnet.io)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataIter">DataIter (class in mxnet.io)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.DataLoader">DataLoader (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/contrib/io/index.html#mxnet.contrib.io.DataLoaderIter">DataLoaderIter (class in mxnet.contrib.io)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.Dataset">Dataset (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.DCASGD">DCASGD (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.debug_str">debug_str() (Symbol method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Deconvolution">Deconvolution() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Deconvolution">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Deconvolution">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Deconvolution">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.Counter.decrement">decrement() (Counter method)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.default_array">default_array() (in module mxnet.util)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.default_atols">default_atols() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.default_device">default_device() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.default_dtype">default_dtype() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.default_numeric_eps">default_numeric_eps() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.default_rtols">default_rtols() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution">DeformableConvolution (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.DeformablePSROIPooling">DeformablePSROIPooling() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.DeformablePSROIPooling">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.DeformablePSROIPooling">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.DeformablePSROIPooling">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.deg2rad.html#mxnet.np.deg2rad">deg2rad() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.degrees">degrees() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.degrees">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.degrees">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.degrees.html#mxnet.np.degrees">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.degrees">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.degrees">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.degrees">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.degrees">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.degrees">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.delete.html#mxnet.np.delete">delete() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense">Dense (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet">DenseNet (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.densenet121">densenet121() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.densenet161">densenet161() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.densenet169">densenet169() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.densenet201">densenet201() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.depth_to_space">depth_to_space() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.depth_to_space">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.depth_to_space">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.depth_to_space">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.depth_to_space">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.depth_to_space">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.dequantize">dequantize() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.dequantize">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.dequantize">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.dequantize">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.det">det() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.linalg.det.html#mxnet.np.linalg.det">(in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.det">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.detach">detach() (NDArray method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetAugmenter">DetAugmenter (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetBorrowAug">DetBorrowAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetHorizontalFlipAug">DetHorizontalFlipAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetRandomCropAug">DetRandomCropAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetRandomPadAug">DetRandomPadAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetRandomSelectAug">DetRandomSelectAug (class in mxnet.image)</a>
</li>
<li><a href="api/device/index.html#mxnet.device.Device">Device (class in mxnet.device)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.device">device() (NDArray property)</a>
</li>
<li><a href="api/device/index.html#mxnet.device.Device.device_type">device_type() (Device property)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.dgl_adjacency">dgl_adjacency() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.dgl_adjacency">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.dgl_adjacency">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.dgl_adjacency">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.dgl_csr_neighbor_non_uniform_sample">dgl_csr_neighbor_non_uniform_sample() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.dgl_csr_neighbor_non_uniform_sample">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.dgl_csr_neighbor_non_uniform_sample">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.dgl_csr_neighbor_non_uniform_sample">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.dgl_csr_neighbor_uniform_sample">dgl_csr_neighbor_uniform_sample() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.dgl_csr_neighbor_uniform_sample">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.dgl_csr_neighbor_uniform_sample">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.dgl_csr_neighbor_uniform_sample">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.dgl_graph_compact">dgl_graph_compact() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.dgl_graph_compact">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.dgl_graph_compact">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.dgl_graph_compact">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.dgl_subgraph">dgl_subgraph() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.dgl_subgraph">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.dgl_subgraph">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.dgl_subgraph">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.diag">diag() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.diag">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.diag">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.diag">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.diag">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.diag">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.diff.html#mxnet.np.diff">diff() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.digamma">digamma() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.digamma">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.digamma">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.digamma">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.digamma">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.digamma">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.digitize.html#mxnet.np.digitize">digitize() (in module mxnet.np)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.discard_stderr">discard_stderr() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.div_sqrt_dim">div_sqrt_dim() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.div_sqrt_dim">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.div_sqrt_dim">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.div_sqrt_dim">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.divide">divide() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.divide">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.divide.html#mxnet.np.divide">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.divmod.html#mxnet.np.divmod">divmod() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/callback/index.html#mxnet.callback.do_checkpoint">do_checkpoint() (in module mxnet.callback)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Domain">Domain (class in mxnet.profiler)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.dot">dot() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.dot">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.dot">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.dot.html#mxnet.np.dot">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.dot">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.dot">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.dot">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/gluon/utils/index.html#mxnet.gluon.utils.download">download() (in module mxnet.gluon.utils)</a>
<ul>
<li><a href="api/test_utils/index.html#mxnet.test_utils.download">(in module mxnet.test_utils)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageDetIter.draw_next">draw_next() (ImageDetIter method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.drop_grad">drop_grad() (NDArray method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout">Dropout (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Dropout">Dropout() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Dropout">(in module mxnet.ndarray.op)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.dropout.html#mxnet.npx.dropout">dropout() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Dropout">Dropout() (in module mxnet.symbol)</a>
<ul>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Dropout">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell">DropoutCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/np/generated/mxnet.np.dsplit.html#mxnet.np.dsplit">dsplit() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.dstack.html#mxnet.np.dstack">dstack() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.dtype">dtype() (Constant property)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.dtype">(NDArray property)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.dtype">(Parameter property)</a>
</li>
</ul></li>
<li><a href="api/util/index.html#mxnet.util.dtype_from_number">dtype_from_number() (in module mxnet.util)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.DummyIter">DummyIter (class in mxnet.test_utils)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.dump">dump() (in module mxnet.profiler)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.dump_profile">dump_profile() (in module mxnet.profiler)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.Augmenter.dumps">dumps() (Augmenter method)</a>
<ul>
<li><a href="api/initializer/index.html#mxnet.initializer.Constant.dumps">(Constant method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetAugmenter.dumps">(DetAugmenter method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetBorrowAug.dumps">(DetBorrowAug method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.DetRandomSelectAug.dumps">(DetRandomSelectAug method)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.dumps">(in module mxnet.profiler)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.Initializer.dumps">(Initializer method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.RandomOrderAug.dumps">(RandomOrderAug method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.SequentialAug.dumps">(SequentialAug method)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.dynamic_reshape">dynamic_reshape() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.dynamic_reshape">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.dynamic_reshape">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.dynamic_reshape">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="E">E</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.EarlyStoppingHandler">EarlyStoppingHandler (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.edge_id">edge_id() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.edge_id">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.edge_id">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.edge_id">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.ediff1d.html#mxnet.np.ediff1d">ediff1d() (in module mxnet.np)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.effective_dtype">effective_dtype() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.eig.html#mxnet.np.linalg.eig">eig() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.eigh.html#mxnet.np.linalg.eigh">eigh() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.eigvals.html#mxnet.np.linalg.eigvals">eigvals() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.eigvalsh.html#mxnet.np.linalg.eigvalsh">eigvalsh() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/np/generated/mxnet.np.einsum.html#mxnet.np.einsum">einsum() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ElementWiseSum">ElementWiseSum() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.ElementWiseSum">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.ElementWiseSum">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ElementWiseSum">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.ElementWiseSum">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.ElementWiseSum">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.elemwise_add">elemwise_add() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.elemwise_add">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.elemwise_add">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.elemwise_add">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.elemwise_add">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.elemwise_add">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.elemwise_div">elemwise_div() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.elemwise_div">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.elemwise_div">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.elemwise_div">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.elemwise_div">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.elemwise_div">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.elemwise_mul">elemwise_mul() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.elemwise_mul">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.elemwise_mul">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.elemwise_mul">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.elemwise_mul">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.elemwise_mul">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.elemwise_sub">elemwise_sub() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.elemwise_sub">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.elemwise_sub">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.elemwise_sub">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.elemwise_sub">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.elemwise_sub">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU">ELU (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding">Embedding (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Embedding">Embedding() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Embedding">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.Embedding">(in module mxnet.ndarray.sparse)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.embedding.html#mxnet.npx.embedding">embedding() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Embedding">Embedding() (in module mxnet.symbol)</a>
<ul>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Embedding">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.Embedding">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.empty">empty() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/utils/index.html#mxnet.ndarray.utils.empty">(in module mxnet.ndarray.utils)</a>
</li>
<li><a href="api/np/generated/mxnet.np.empty.html#mxnet.np.empty">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/device/index.html#mxnet.device.Device.empty_cache">empty_cache() (Device method)</a>
</li>
<li><a href="api/runtime/generated/mxnet.runtime.Feature.html#mxnet.runtime.Feature.enabled">enabled() (Feature property)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.environment">environment() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.equal">equal() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.erf">erf() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.erf">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.erf">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.erf">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.erfinv">erfinv() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.erfinv">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.erfinv">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.erfinv">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.Estimator">Estimator (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.eval">eval() (Symbol method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.EvalMetric">EvalMetric (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.Estimator.evaluate">evaluate() (Estimator method)</a>
</li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.BatchProcessor.evaluate_batch">evaluate_batch() (BatchProcessor method)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Event">Event (class in mxnet.profiler)</a>
</li>
<li><a href="api/executor/index.html#mxnet.executor.Executor">Executor (class in mxnet.executor)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.exp">exp() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.exp">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.exp">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.exp.html#mxnet.np.exp">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.exp">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.exp">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.exp">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.exp">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.exp">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.expand_dims">expand_dims() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.expand_dims">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.expand_dims.html#mxnet.np.expand_dims">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.expand_dims">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.expand_dims">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.expand_dims">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.expand_dims">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.expm1">expm1() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.expm1">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.expm1">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.expm1.html#mxnet.np.expm1">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.expm1">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.expm1">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.expm1">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.expm1">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.expm1">(Symbol method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.exponential">exponential() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/np/random/generated/mxnet.np.random.exponential.html#mxnet.np.random.exponential">(in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.exponential">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.exponential_like">exponential_like() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.exponential_like">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.export">export() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.export">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.export">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.export">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.export">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.export">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.export">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.export">(Cast method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.export">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.export">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.export">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.export">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.export">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.export">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.export">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.export">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.export">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.export">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.export">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.export">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.export">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.export">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.export">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.export">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.export">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.export">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.export">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.export">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.export">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.export">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.export">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.export">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.export">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.export">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.export">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.export">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.export">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.export">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.export">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.export">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.export">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.export">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.export">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.export">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.export">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.export">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.export">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.export">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.export">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.export">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.export">(PReLU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.export">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.export">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.export">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.export">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.export">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.export">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.export">(SELU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.export">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.export">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.export">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.export">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.export">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.export">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.export">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.export">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.export">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.export">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.export">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.export">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/contrib/onnx/index.html#mxnet.contrib.onnx.export_model_">export_model_() (in module mxnet.contrib.onnx)</a>
</li>
<li><a href="api/np/generated/mxnet.np.extract.html#mxnet.np.extract">extract() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.extractdiag">extractdiag() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.extractdiag">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.extracttrian">extracttrian() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.extracttrian">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.eye">eye() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.eye.html#mxnet.np.eye">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.eye">(in module mxnet.symbol)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="F">F</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/random/generated/mxnet.np.random.f.html#mxnet.np.random.f">f() (in module mxnet.np.random)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.F1">F1 (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/np/generated/mxnet.np.fabs.html#mxnet.np.fabs">fabs() (in module mxnet.np)</a>
</li>
<li><a href="api/lr_scheduler/index.html#mxnet.lr_scheduler.FactorScheduler">FactorScheduler (class in mxnet.lr_scheduler)</a>
</li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.FashionMNIST">FashionMNIST (class in mxnet.gluon.data.vision.datasets)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Fbeta">Fbeta (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/runtime/generated/mxnet.runtime.Feature.html#mxnet.runtime.Feature">Feature (class in mxnet.runtime)</a>
</li>
<li><a href="api/runtime/generated/mxnet.runtime.feature_list.html#mxnet.runtime.feature_list">feature_list() (in module mxnet.runtime)</a>
</li>
<li><a href="api/runtime/generated/mxnet.runtime.Features.html#mxnet.runtime.Features">Features (class in mxnet.runtime)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.fft">fft() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.fft">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.fft">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.fft">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.fill_element_0index">fill_element_0index() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.fill_element_0index">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.fill_element_0index">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.fill_element_0index">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.Dataset.filter">filter() (Dataset method)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.FilterSampler">FilterSampler (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.Estimator.fit">fit() (Estimator method)</a>
</li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.BatchProcessor.fit_batch">fit_batch() (BatchProcessor method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.fix">fix() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.fix">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.fix">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.fix.html#mxnet.np.fix">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.fix">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.fix">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.fix">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.fix">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.fix">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.fixed_crop">fixed_crop() (in module mxnet.image)</a>
</li>
<li><a href="api/np/generated/mxnet.np.flatnonzero.html#mxnet.np.flatnonzero">flatnonzero() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten">Flatten (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Flatten">Flatten() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.flatten">flatten() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Flatten">Flatten() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.flatten">flatten() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Flatten">Flatten() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.flatten">flatten() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Flatten">Flatten() (in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.flatten">flatten() (in module mxnet.symbol.op)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.flatten">(NDArray method)</a>
</li>
<li><a href="api/np/generated/mxnet.np.ndarray.flatten.html#mxnet.np.ndarray.flatten">(ndarray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.flatten">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.flip">flip() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.flip">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.flip.html#mxnet.np.flip">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.flip">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.flip">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.flip">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.flip">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.flip_left_right">flip_left_right() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.flip_left_right">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.flip_top_bottom">flip_top_bottom() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.flip_top_bottom">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.fliplr.html#mxnet.np.fliplr">fliplr() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.flipud.html#mxnet.np.flipud">flipud() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.float_power.html#mxnet.np.float_power">float_power() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.floor">floor() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.floor">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.floor">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.floor.html#mxnet.np.floor">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.floor">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.floor">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.floor">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.floor">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.floor">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.floor_divide.html#mxnet.np.floor_divide">floor_divide() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.fmax.html#mxnet.np.fmax">fmax() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.fmin.html#mxnet.np.fmin">fmin() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.fmod.html#mxnet.np.fmod">fmod() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ForceResizeAug">ForceResizeAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.foreach">foreach() (in module mxnet.ndarray.contrib)</a>
<ul>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.foreach">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/arrays.ndarray.html#index-1">Fortran-order</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.forward">forward() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.forward">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.forward">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.forward">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.forward">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.forward">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.forward">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.forward">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.forward">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.forward">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.forward">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.forward">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.forward">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.forward">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.forward">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.forward">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.forward">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.forward">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.forward">(Embedding method)</a>
</li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.forward">(Executor method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.forward">(Flatten method)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.Function.forward">(Function method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.forward">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.forward">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.forward">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.forward">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.forward">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.forward">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.forward">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.forward">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.forward">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.HybridRandomApply.forward">(HybridRandomApply method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.forward">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.forward">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.forward">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.forward">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.forward">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.forward">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.forward">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.forward">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.forward">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Lambda.forward">(Lambda method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.forward">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.forward">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.forward">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.forward">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.forward">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.forward">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.forward">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.forward">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.forward">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.forward">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.forward">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.forward">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.forward">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.forward">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.forward">(PReLU method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.RandomApply.forward">(RandomApply method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.forward">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.forward">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.forward">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.forward">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.forward">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.forward">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.forward">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.forward">(SELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Sequential.forward">(Sequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.forward">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.forward">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.forward">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.forward">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.forward">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.forward">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.forward">(Swish method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock.forward">(SymbolBlock method)</a>, <a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.forward">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.forward">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.forward">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.forward">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.forward">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.forward">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/profiler/index.html#mxnet.profiler.Frame">Frame (class in mxnet.profiler)</a>
</li>
<li><a href="api/np/generated/mxnet.np.frexp.html#mxnet.np.frexp">frexp() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.from_dlpack">from_dlpack() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.from_numpy">from_numpy() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.fromjson">fromjson() (in module mxnet.symbol)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.FTML">FTML (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ftml_update">ftml_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.ftml_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ftml_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.ftml_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Ftrl">Ftrl (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ftrl_update">ftrl_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.ftrl_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.ftrl_update">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ftrl_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.ftrl_update">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.ftrl_update">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.full">full() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.full.html#mxnet.np.full">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.full">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.fully_connected.html#mxnet.npx.fully_connected">fully_connected() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.FullyConnected">FullyConnected() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.FullyConnected">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.FullyConnected">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.FullyConnected">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.FullyConnected">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.FullyConnected">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/autograd/index.html#mxnet.autograd.Function">Function (class in mxnet.autograd)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaBelief.fused_step">fused_step() (AdaBelief method)</a>
<ul>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaGrad.fused_step">(AdaGrad method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Adam.fused_step">(Adam method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.FTML.fused_step">(FTML method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Ftrl.fused_step">(Ftrl method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LAMB.fused_step">(LAMB method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LANS.fused_step">(LANS method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LARS.fused_step">(LARS method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.NAG.fused_step">(NAG method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.fused_step">(Optimizer method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.RMSProp.fused_step">(RMSProp method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.SGD.fused_step">(SGD method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Signum.fused_step">(Signum method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="G">G</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.gamma">gamma() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.gamma">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.gamma">(in module mxnet.ndarray.random)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.gamma">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.gamma.html#mxnet.np.random.gamma">(in module mxnet.np.random)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.gamma.html#mxnet.npx.gamma">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.gamma">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.gamma">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.gamma">(in module mxnet.symbol.random)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.gamma">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.gamma_like">gamma_like() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.gamma_like">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.gammaln">gammaln() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.gammaln">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.gammaln">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.gammaln">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.gammaln">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.gammaln">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.gather_nd">gather_nd() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.gather_nd">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.gather_nd">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.gather_nd">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.gcd.html#mxnet.np.gcd">gcd() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.gelqf">gelqf() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.gelqf">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU">GELU (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.gemm">gemm() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.gemm">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.gemm2">gemm2() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.gemm2">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.gen_buckets_probs_with_ppf">gen_buckets_probs_with_ppf() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.generalized_negative_binomial">generalized_negative_binomial() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.generalized_negative_binomial">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.generalized_negative_binomial_like">generalized_negative_binomial_like() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.generalized_negative_binomial_like">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.genfromtxt.html#mxnet.np.genfromtxt">genfromtxt() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Accuracy.get">get() (Accuracy method)</a>
<ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.BinaryAccuracy.get">(BinaryAccuracy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CompositeEvalMetric.get">(CompositeEvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CrossEntropy.get">(CrossEntropy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CustomMetric.get">(CustomMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.EvalMetric.get">(EvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.F1.get">(F1 method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Fbeta.get">(Fbeta method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Loss.get">(Loss method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MAE.get">(MAE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MCC.get">(MCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanCosineSimilarity.get">(MeanCosineSimilarity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanPairwiseDistance.get">(MeanPairwiseDistance method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MSE.get">(MSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PCC.get">(PCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PearsonCorrelation.get">(PearsonCorrelation method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Perplexity.get">(Perplexity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.RMSE.get">(RMSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.TopKAccuracy.get">(TopKAccuracy method)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_atol">get_atol() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.get_backend_symbol">get_backend_symbol() (Symbol method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataDesc.get_batch_axis">get_batch_axis() (DataDesc static method)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_bz2_data">get_bz2_data() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.get_children">get_children() (Symbol method)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_cifar10">get_cifar10() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Accuracy.get_config">get_config() (Accuracy method)</a>
<ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.BinaryAccuracy.get_config">(BinaryAccuracy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CompositeEvalMetric.get_config">(CompositeEvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CrossEntropy.get_config">(CrossEntropy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CustomMetric.get_config">(CustomMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.EvalMetric.get_config">(EvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.F1.get_config">(F1 method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Fbeta.get_config">(Fbeta method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Loss.get_config">(Loss method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MAE.get_config">(MAE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MCC.get_config">(MCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanCosineSimilarity.get_config">(MeanCosineSimilarity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanPairwiseDistance.get_config">(MeanPairwiseDistance method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MSE.get_config">(MSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PCC.get_config">(PCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PearsonCorrelation.get_config">(PearsonCorrelation method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Perplexity.get_config">(Perplexity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.RMSE.get_config">(RMSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.TopKAccuracy.get_config">(TopKAccuracy method)</a>
</li>
</ul></li>
<li><a href="api/util/index.html#mxnet.util.get_cuda_compute_capability">get_cuda_compute_capability() (in module mxnet.util)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_etol">get_etol() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_im2rec_path">get_im2rec_path() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.get_indexing_dispatch_code">get_indexing_dispatch_code() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.get_inputs">get_inputs() (Symbol method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.get_internals">get_internals() (Symbol method)</a>
</li>
<li><a href="api/rtc/index.html#mxnet.rtc.CudaModule.get_kernel">get_kernel() (CudaModule method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataDesc.get_list">get_list() (DataDesc static method)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.get_max_supported_compute_capability">get_max_supported_compute_capability() (in module mxnet.util)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CompositeEvalMetric.get_metric">get_metric() (CompositeEvalMetric method)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_mnist">get_mnist() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_mnist_iterator">get_mnist_iterator() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_mnist_ubyte">get_mnist_ubyte() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.get_mobilenet">get_mobilenet() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.get_mobilenet_v2">get_mobilenet_v2() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.get_model">get_model() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Accuracy.get_name_value">get_name_value() (Accuracy method)</a>
<ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.BinaryAccuracy.get_name_value">(BinaryAccuracy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CrossEntropy.get_name_value">(CrossEntropy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CustomMetric.get_name_value">(CustomMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.EvalMetric.get_name_value">(EvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.F1.get_name_value">(F1 method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Fbeta.get_name_value">(Fbeta method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Loss.get_name_value">(Loss method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MAE.get_name_value">(MAE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MCC.get_name_value">(MCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanCosineSimilarity.get_name_value">(MeanCosineSimilarity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanPairwiseDistance.get_name_value">(MeanPairwiseDistance method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MSE.get_name_value">(MSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PCC.get_name_value">(PCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PearsonCorrelation.get_name_value">(PearsonCorrelation method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Perplexity.get_name_value">(Perplexity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.RMSE.get_name_value">(RMSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.TopKAccuracy.get_name_value">(TopKAccuracy method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.CachedOp.get_optimized_symbol">get_optimized_symbol() (CachedOp method)</a>, <a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.CachedOp.get_optimized_symbol">[1]</a>
<ul>
<li><a href="api/executor/index.html#mxnet.executor.Executor.get_optimized_symbol">(Executor method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.get_oshape_of_gather_nd_op">get_oshape_of_gather_nd_op() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.get_resnet">get_resnet() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.get_rtc_compile_opts">get_rtc_compile_opts() (in module mxnet.util)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_rtol">get_rtol() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Updater.get_states">get_states() (Updater method)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.get_symbol">get_symbol() (in module mxnet.autograd)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_tolerance">get_tolerance() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.get_tols">get_tols() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.get_updater">get_updater() (in module mxnet.optimizer)</a>
</li>
<li><a href="api/contrib/tensorrt/index.html#mxnet.contrib.tensorrt.get_use_fp16">get_use_fp16() (in module mxnet.contrib.tensorrt)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.get_vgg">get_vgg() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataIter.getdata">getdata() (DataIter method)</a>
<ul>
<li><a href="api/contrib/io/index.html#mxnet.contrib.io.DataLoaderIter.getdata">(DataLoaderIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MXDataIter.getdata">(MXDataIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.getdata">(NDArrayIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.PrefetchingIter.getdata">(PrefetchingIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ResizeIter.getdata">(ResizeIter method)</a>
</li>
</ul></li>
<li><a href="api/util/index.html#mxnet.util.getenv">getenv() (in module mxnet.util)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataIter.getindex">getindex() (DataIter method)</a>
<ul>
<li><a href="api/contrib/io/index.html#mxnet.contrib.io.DataLoaderIter.getindex">(DataLoaderIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MXDataIter.getindex">(MXDataIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.PrefetchingIter.getindex">(PrefetchingIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ResizeIter.getindex">(ResizeIter method)</a>
</li>
</ul></li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataIter.getlabel">getlabel() (DataIter method)</a>
<ul>
<li><a href="api/contrib/io/index.html#mxnet.contrib.io.DataLoaderIter.getlabel">(DataLoaderIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MXDataIter.getlabel">(MXDataIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.getlabel">(NDArrayIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.PrefetchingIter.getlabel">(PrefetchingIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ResizeIter.getlabel">(ResizeIter method)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.getnnz">getnnz() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.getnnz">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.getnnz">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.getnnz">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataIter.getpad">getpad() (DataIter method)</a>
<ul>
<li><a href="api/contrib/io/index.html#mxnet.contrib.io.DataLoaderIter.getpad">(DataLoaderIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MXDataIter.getpad">(MXDataIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.getpad">(NDArrayIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.PrefetchingIter.getpad">(PrefetchingIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ResizeIter.getpad">(ResizeIter method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GlobalAvgPool1D">GlobalAvgPool1D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GlobalAvgPool2D">GlobalAvgPool2D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GlobalAvgPool3D">GlobalAvgPool3D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GlobalMaxPool1D">GlobalMaxPool1D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GlobalMaxPool2D">GlobalMaxPool2D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GlobalMaxPool3D">GlobalMaxPool3D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/device/index.html#mxnet.device.gpu">gpu() (in module mxnet.device)</a>
<ul>
<li><a href="api/npx/generated/mxnet.npx.gpu.html#mxnet.npx.gpu">(in module mxnet.npx)</a>
</li>
</ul></li>
<li><a href="api/device/index.html#mxnet.device.gpu_memory_info">gpu_memory_info() (in module mxnet.device)</a>
<ul>
<li><a href="api/npx/generated/mxnet.npx.gpu_memory_info.html#mxnet.npx.gpu_memory_info">(in module mxnet.npx)</a>
</li>
</ul></li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.grad">grad() (Constant method)</a>
<ul>
<li><a href="api/autograd/index.html#mxnet.autograd.grad">(in module mxnet.autograd)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.grad">(NDArray property)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.grad">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.grad_arrays">grad_arrays() (Executor property)</a>
</li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.grad_dict">grad_dict() (Executor property)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.grad_req">grad_req (Parameter attribute)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.gradient">gradient() (Symbol method)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.gradientmultiplier">gradientmultiplier() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.gradientmultiplier">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.gradientmultiplier">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.gradientmultiplier">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.GradientUpdateHandler">GradientUpdateHandler (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.greater">greater() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.greater_equal">greater_equal() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.GridGenerator">GridGenerator() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.GridGenerator">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.GridGenerator">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.GridGenerator">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Group">Group() (in module mxnet.symbol)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.group_adagrad_update">group_adagrad_update() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.group_adagrad_update">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.group_adagrad_update">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.group_adagrad_update">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm">GroupNorm (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.GroupNorm">GroupNorm() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.GroupNorm">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.GroupNorm">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.GroupNorm">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRU">GRU (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell">GRUCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.gumbel.html#mxnet.np.random.gumbel">gumbel() (in module mxnet.np.random)</a>
</li>
</ul></td>
</tr></table>
<h2 id="H">H</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.hard_reset">hard_reset() (ImageIter method)</a>
<ul>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.hard_reset">(NDArrayIter method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.hard_sigmoid">hard_sigmoid() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.hard_sigmoid">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.hard_sigmoid">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.hard_sigmoid">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.has_dynamic_shape_op">has_dynamic_shape_op() (Symbol method)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.has_tvm_ops">has_tvm_ops() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.hawkesll">hawkesll() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.hawkesll">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.hawkesll">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.hawkesll">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.heaviside.html#mxnet.np.heaviside">heaviside() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss">HingeLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.histogram">histogram() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.histogram.html#mxnet.np.histogram">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.histogram">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.histogram2d.html#mxnet.np.histogram2d">histogram2d() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.histogram_bin_edges.html#mxnet.np.histogram_bin_edges">histogram_bin_edges() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.histogramdd.html#mxnet.np.histogramdd">histogramdd() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.HorizontalFlipAug">HorizontalFlipAug (class in mxnet.image)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod">Horovod (class in mxnet.kvstore)</a>
</li>
<li><a href="api/np/generated/mxnet.np.hsplit.html#mxnet.np.hsplit">hsplit() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.hstack.html#mxnet.np.hstack">hstack() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss">HuberLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.HueJitterAug">HueJitterAug (class in mxnet.image)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock">HybridBlock (class in mxnet.gluon)</a>
<ul>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock">(class in mxnet.gluon.nn)</a>
</li>
</ul></li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.HybridCompose">HybridCompose (class in mxnet.gluon.data.vision.transforms)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate">HybridConcatenate (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.hybridize">hybridize() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.hybridize">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.hybridize">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.hybridize">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.hybridize">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.hybridize">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.hybridize">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.hybridize">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.hybridize">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.hybridize">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.hybridize">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.hybridize">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.hybridize">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.hybridize">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.hybridize">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.hybridize">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.hybridize">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.hybridize">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.hybridize">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.hybridize">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.hybridize">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.hybridize">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.hybridize">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.hybridize">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.hybridize">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.hybridize">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.hybridize">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.hybridize">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.hybridize">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.hybridize">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.hybridize">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.hybridize">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.hybridize">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.hybridize">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.hybridize">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.hybridize">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.hybridize">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.hybridize">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.hybridize">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.hybridize">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.hybridize">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.hybridize">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.hybridize">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.hybridize">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.hybridize">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.hybridize">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.hybridize">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.hybridize">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.hybridize">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.hybridize">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.hybridize">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.hybridize">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.hybridize">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.hybridize">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.hybridize">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.hybridize">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.hybridize">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.hybridize">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.hybridize">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.hybridize">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.hybridize">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.hybridize">(SELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Sequential.hybridize">(Sequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.hybridize">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.hybridize">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.hybridize">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.hybridize">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.hybridize">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.hybridize">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.hybridize">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.hybridize">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.hybridize">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.hybridize">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.hybridize">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.hybridize">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.hybridize">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda">HybridLambda (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.HybridRandomApply">HybridRandomApply (class in mxnet.gluon.data.vision.transforms)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell">HybridRecurrentCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential">HybridSequential (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell">HybridSequentialRNNCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/np/generated/mxnet.np.hypot.html#mxnet.np.hypot">hypot() (in module mxnet.np)</a>
<ul>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.hypot">(in module mxnet.symbol)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="I">I</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/generated/mxnet.np.i0.html#mxnet.np.i0">i0() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity">Identity (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.identity">identity() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.identity">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.identity.html#mxnet.np.identity">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.identity">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.identity">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.IdentityAttachKLSparseReg">IdentityAttachKLSparseReg() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.IdentityAttachKLSparseReg">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.IdentityAttachKLSparseReg">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.IdentityAttachKLSparseReg">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.im2col">im2col() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.im2col">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.im2col">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.im2col">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageDetIter">ImageDetIter (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ImageDetRecordIter">ImageDetRecordIter() (in module mxnet.io)</a>
</li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.ImageFolderDataset">ImageFolderDataset (class in mxnet.gluon.data.vision.datasets)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter">ImageIter (class in mxnet.image)</a>
</li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.ImageListDataset">ImageListDataset (class in mxnet.gluon.data.vision.datasets)</a>
</li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.ImageRecordDataset">ImageRecordDataset (class in mxnet.gluon.data.vision.datasets)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ImageRecordInt8Iter">ImageRecordInt8Iter() (in module mxnet.io)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ImageRecordIter">ImageRecordIter() (in module mxnet.io)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ImageRecordIter_v1">ImageRecordIter_v1() (in module mxnet.io)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ImageRecordUInt8Iter">ImageRecordUInt8Iter() (in module mxnet.io)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ImageRecordUInt8Iter_v1">ImageRecordUInt8Iter_v1() (in module mxnet.io)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.imdecode">imdecode() (ImageIter method)</a>
<ul>
<li><a href="api/legacy/image/index.html#mxnet.image.imdecode">(in module mxnet.image)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.imdecode">(in module mxnet.ndarray)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock.imports">imports() (SymbolBlock static method)</a>, <a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.imports">[1]</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.imread">imread() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.imresize">imresize() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.imrotate">imrotate() (in module mxnet.image)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3">Inception3 (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.inception_v3">inception_v3() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Counter.increment">increment() (Counter method)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.index_array">index_array() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.index_array">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.index_array">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.index_array">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.index_copy">index_copy() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.index_copy">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.index_copy">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.index_copy">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/arrays.indexing.html#index-0">indexing</a>, <a href="api/np/arrays.indexing.html#index-1">[1]</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.indexing_key_expand_implicit_axes">indexing_key_expand_implicit_axes() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.CSRNDArray.indices">indices() (CSRNDArray property)</a>
<ul>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.RowSparseNDArray.indices">(RowSparseNDArray property)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.CSRNDArray.indptr">indptr() (CSRNDArray property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.infer_shape">infer_shape() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.infer_shape">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.infer_shape">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.infer_shape">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.infer_shape">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.infer_shape">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.infer_shape">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.infer_shape">(Cast method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.infer_shape">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.infer_shape">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.infer_shape">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.infer_shape">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.infer_shape">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.infer_shape">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.infer_shape">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.infer_shape">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.infer_shape">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.infer_shape">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.infer_shape">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.infer_shape">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.infer_shape">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.infer_shape">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.infer_shape">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.infer_shape">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.infer_shape">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.infer_shape">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.infer_shape">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.infer_shape">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.infer_shape">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.infer_shape">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.infer_shape">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.infer_shape">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.infer_shape">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.infer_shape">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.infer_shape">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.infer_shape">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.infer_shape">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.infer_shape">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.infer_shape">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.infer_shape">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.infer_shape">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.infer_shape">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.infer_shape">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.infer_shape">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.infer_shape">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.infer_shape">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.infer_shape">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.infer_shape">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.infer_shape">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.infer_shape">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.infer_shape">(PReLU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.infer_shape">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.infer_shape">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.infer_shape">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.infer_shape">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.infer_shape">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.infer_shape">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.infer_shape">(SELU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.infer_shape">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.infer_shape">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.infer_shape">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.infer_shape">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.infer_shape">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.infer_shape">(Swish method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.infer_shape">(Symbol method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock.infer_shape">(SymbolBlock method)</a>, <a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.infer_shape">[1]</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.infer_shape">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.infer_shape">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.infer_shape">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.infer_shape">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.infer_shape_partial">infer_shape_partial() (Symbol method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.infer_type">infer_type() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.infer_type">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.infer_type">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.infer_type">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.infer_type">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.infer_type">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.infer_type">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.infer_type">(Cast method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.infer_type">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.infer_type">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.infer_type">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.infer_type">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.infer_type">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.infer_type">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.infer_type">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.infer_type">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.infer_type">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.infer_type">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.infer_type">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.infer_type">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.infer_type">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.infer_type">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.infer_type">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.infer_type">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.infer_type">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.infer_type">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.infer_type">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.infer_type">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.infer_type">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.infer_type">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.infer_type">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.infer_type">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.infer_type">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.infer_type">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.infer_type">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.infer_type">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.infer_type">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.infer_type">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.infer_type">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.infer_type">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.infer_type">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.infer_type">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.infer_type">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.infer_type">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.infer_type">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.infer_type">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.infer_type">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.infer_type">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.infer_type">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.infer_type">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.infer_type">(PReLU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.infer_type">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.infer_type">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.infer_type">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.infer_type">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.infer_type">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.infer_type">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.infer_type">(SELU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.infer_type">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.infer_type">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.infer_type">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.infer_type">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.infer_type">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.infer_type">(Swish method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.infer_type">(Symbol method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.infer_type">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.infer_type">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.infer_type">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.infer_type">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.infer_type">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.infer_type">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.infer_type_partial">infer_type_partial() (Symbol method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.init">init() (KVStore method)</a>
</li>
<li><a href="api/contrib/tensorrt/index.html#mxnet.contrib.tensorrt.init_tensorrt_params">init_tensorrt_params() (in module mxnet.contrib.tensorrt)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.InitDesc">InitDesc (class in mxnet.initializer)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.initialize">initialize() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.initialize">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.initialize">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.initialize">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.initialize">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.initialize">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.initialize">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.initialize">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.initialize">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.initialize">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.initialize">(Concatenate method)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.initialize">(Constant method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.initialize">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.initialize">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.initialize">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.initialize">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.initialize">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.initialize">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.initialize">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.initialize">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.initialize">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.initialize">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.initialize">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.initialize">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.initialize">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.initialize">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.initialize">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.initialize">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.initialize">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.initialize">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.initialize">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.initialize">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.initialize">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.initialize">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.initialize">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.initialize">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.initialize">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.initialize">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.initialize">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.initialize">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.initialize">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.initialize">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.initialize">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.initialize">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.initialize">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.initialize">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.initialize">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.initialize">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.initialize">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.initialize">(Parameter method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.initialize">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.initialize">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.initialize">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.initialize">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.initialize">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.initialize">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.initialize">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.initialize">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.initialize">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.initialize">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.initialize">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.initialize">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.initialize">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.initialize">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.initialize">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.initialize">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.initialize">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.initialize">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.initialize">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.initialize">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.initialize">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.initialize">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.initialize">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.initialize">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.initialize">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.initialize">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/initializer/index.html#mxnet.initializer.Initializer">Initializer (class in mxnet.initializer)</a>
</li>
<li><a href="api/np/generated/mxnet.np.inner.html#mxnet.np.inner">inner() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.insert.html#mxnet.np.insert">insert() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm">InstanceNorm (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.InstanceNorm">InstanceNorm() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.InstanceNorm">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.InstanceNorm">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.InstanceNorm">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.interleaved_matmul_encdec_qk">interleaved_matmul_encdec_qk() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.interleaved_matmul_encdec_qk">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.interleaved_matmul_encdec_qk">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.interleaved_matmul_encdec_qk">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.interleaved_matmul_encdec_valatt">interleaved_matmul_encdec_valatt() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.interleaved_matmul_encdec_valatt">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.interleaved_matmul_encdec_valatt">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.interleaved_matmul_encdec_valatt">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.interleaved_matmul_selfatt_qk">interleaved_matmul_selfatt_qk() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.interleaved_matmul_selfatt_qk">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.interleaved_matmul_selfatt_qk">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.interleaved_matmul_selfatt_qk">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.interleaved_matmul_selfatt_valatt">interleaved_matmul_selfatt_valatt() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.interleaved_matmul_selfatt_valatt">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.interleaved_matmul_selfatt_valatt">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.interleaved_matmul_selfatt_valatt">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.interp.html#mxnet.np.interp">interp() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.IntervalSampler">IntervalSampler (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.intgemm_fully_connected">intgemm_fully_connected() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.intgemm_fully_connected">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.intgemm_fully_connected">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.intgemm_fully_connected">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.intgemm_maxabsolute">intgemm_maxabsolute() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.intgemm_maxabsolute">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.intgemm_maxabsolute">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.intgemm_maxabsolute">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.intgemm_prepare_data">intgemm_prepare_data() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.intgemm_prepare_data">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.intgemm_prepare_data">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.intgemm_prepare_data">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.intgemm_prepare_weight">intgemm_prepare_weight() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.intgemm_prepare_weight">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.intgemm_prepare_weight">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.intgemm_prepare_weight">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.intgemm_take_weight">intgemm_take_weight() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.intgemm_take_weight">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.intgemm_take_weight">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.intgemm_take_weight">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.linalg.inv.html#mxnet.np.linalg.inv">inv() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.inverse">inverse() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.inverse">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.IRHeader">IRHeader (in module mxnet.recordio)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.is_capable">is_capable() (BytePS static method)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.is_capable">(Horovod static method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.is_capable">(KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.is_capable">(KVStoreBase method)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.is_cd_run">is_cd_run() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/runtime/generated/mxnet.runtime.Features.html#mxnet.runtime.Features.is_enabled">is_enabled() (Features method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.is_np_array">is_np_array() (in module mxnet.image)</a>
<ul>
<li><a href="api/util/index.html#mxnet.util.is_np_array">(in module mxnet.util)</a>
</li>
</ul></li>
<li><a href="api/util/index.html#mxnet.util.is_np_default_dtype">is_np_default_dtype() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.is_np_shape">is_np_shape() (in module mxnet.util)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.is_op_runnable">is_op_runnable() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.is_recording">is_recording() (in module mxnet.autograd)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.is_training">is_training() (in module mxnet.autograd)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.isfinite">isfinite() (in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.isinf">isinf() (in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.isnan">isnan() (in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.ImageFolderDataset.items">items (ImageFolderDataset attribute)</a>
<ul>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.ImageListDataset.items">(ImageListDataset attribute)</a>
</li>
</ul></li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataIter.iter_next">iter_next() (DataIter method)</a>
<ul>
<li><a href="api/contrib/io/index.html#mxnet.contrib.io.DataLoaderIter.iter_next">(DataLoaderIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MXDataIter.iter_next">(MXDataIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.iter_next">(NDArrayIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.PrefetchingIter.iter_next">(PrefetchingIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ResizeIter.iter_next">(ResizeIter method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="K">K</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.khatri_rao">khatri_rao() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.khatri_rao">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.khatri_rao">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.khatri_rao">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss">KLDivLoss (class in mxnet.gluon.loss)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/generated/mxnet.np.kron.html#mxnet.np.kron">kron() (in module mxnet.np)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore">KVStore (class in mxnet.kvstore)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase">KVStoreBase (class in mxnet.kvstore)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreServer.html#mxnet.kvstore.KVStoreServer">KVStoreServer (class in mxnet.kvstore)</a>
<ul>
<li><a href="api/kvstore_server/index.html#mxnet.kvstore_server.KVStoreServer">(class in mxnet.kvstore_server)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="L">L</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss">L1Loss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss">L2Loss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.L2Normalization">L2Normalization() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.L2Normalization">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.L2Normalization">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.L2Normalization">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LAMB">LAMB (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.lamb_update_phase1">lamb_update_phase1() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.lamb_update_phase1">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.lamb_update_phase1">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.lamb_update_phase1">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.lamb_update_phase2">lamb_update_phase2() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.lamb_update_phase2">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.lamb_update_phase2">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.lamb_update_phase2">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Lambda">Lambda (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LANS">LANS (class in mxnet.optimizer)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.laplace.html#mxnet.np.random.laplace">laplace() (in module mxnet.np.random)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LARS">LARS (class in mxnet.optimizer)</a>
</li>
<li><a href="api/rtc/index.html#mxnet.rtc.CudaKernel.launch">launch() (CudaKernel method)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.layer_norm.html#mxnet.npx.layer_norm">layer_norm() (in module mxnet.npx)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm">LayerNorm (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.LayerNorm">LayerNorm() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.LayerNorm">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.LayerNorm">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.LayerNorm">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.lcm.html#mxnet.np.lcm">lcm() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.ldexp.html#mxnet.np.ldexp">ldexp() (in module mxnet.np)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.leaky_relu.html#mxnet.npx.leaky_relu">leaky_relu() (in module mxnet.npx)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU">LeakyReLU (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.LeakyReLU">LeakyReLU() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.LeakyReLU">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.LeakyReLU">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.LeakyReLU">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.lesser">lesser() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.lesser_equal">lesser_equal() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/np/generated/mxnet.np.lexsort.html#mxnet.np.lexsort">lexsort() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.LibSVMIter">LibSVMIter() (in module mxnet.io)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.LightingAug">LightingAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_det">linalg_det() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_det">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_det">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_det">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_extractdiag">linalg_extractdiag() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_extractdiag">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_extractdiag">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_extractdiag">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_extracttrian">linalg_extracttrian() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_extracttrian">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_extracttrian">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_extracttrian">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_gelqf">linalg_gelqf() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_gelqf">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_gelqf">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_gelqf">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_gemm">linalg_gemm() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_gemm">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_gemm">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_gemm">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_gemm2">linalg_gemm2() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_gemm2">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_gemm2">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_gemm2">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_inverse">linalg_inverse() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_inverse">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_inverse">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_inverse">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_makediag">linalg_makediag() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_makediag">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_makediag">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_makediag">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_maketrian">linalg_maketrian() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_maketrian">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_maketrian">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_maketrian">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_potrf">linalg_potrf() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_potrf">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_potrf">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_potrf">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_potri">linalg_potri() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_potri">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_potri">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_potri">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_slogdet">linalg_slogdet() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_slogdet">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_slogdet">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_slogdet">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_sumlogdiag">linalg_sumlogdiag() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_sumlogdiag">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_sumlogdiag">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_sumlogdiag">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_syrk">linalg_syrk() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_syrk">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_syrk">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_syrk">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_trmm">linalg_trmm() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_trmm">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_trmm">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_trmm">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linalg_trsm">linalg_trsm() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.linalg_trsm">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linalg_trsm">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.linalg_trsm">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.LinearRegressionOutput">LinearRegressionOutput() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.LinearRegressionOutput">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.LinearRegressionOutput">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.LinearRegressionOutput">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.LinearRegressionOutput">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.LinearRegressionOutput">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.linspace">linspace() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.linspace.html#mxnet.np.linspace">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.linspace">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.list_arguments">list_arguments() (Symbol method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.list_attr">list_attr() (Symbol method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.list_auxiliary_states">list_auxiliary_states() (Symbol method)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.list_ctx">list_ctx() (Constant method)</a>
<ul>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.list_ctx">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.list_data">list_data() (Constant method)</a>
<ul>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.list_data">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.list_device">list_device() (Constant method)</a>
<ul>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.list_device">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.list_gpus">list_gpus() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.list_grad">list_grad() (Constant method)</a>
<ul>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.list_grad">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.list_inputs">list_inputs() (Symbol method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.list_outputs">list_outputs() (Symbol method)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.list_row_sparse_data">list_row_sparse_data() (Constant method)</a>
<ul>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.list_row_sparse_data">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/initializer/index.html#mxnet.initializer.Load">Load (class in mxnet.initializer)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.load">load() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.load">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.load">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.load">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.load">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.load">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.load">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.load">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.load">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.load">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.load">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.load">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.load">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.load">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.load">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.load">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.load">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.load">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.load">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.load">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.load">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.load">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.load">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.load">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.load">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.load">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.load">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.load">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.load">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.load">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.load">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.load">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.load">(Identity method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.load">(in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/utils/index.html#mxnet.ndarray.utils.load">(in module mxnet.ndarray.utils)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.load.html#mxnet.npx.load">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.load">(in module mxnet.symbol)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.load">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.load">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.load">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.load">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.load">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.load">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.load">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.load">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.load">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.load">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.load">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.load">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.load">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.load">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.load">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.load">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.load">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.load">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.load">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.load">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.load">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.load">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.load">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.load">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.load">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.load">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.load">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.load">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.load">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.load">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.load">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.load">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.load">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.load">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.load">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.load">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.load">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.load">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.load">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.load">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.load">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.load_dict">load_dict() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.load_dict">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.load_dict">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.load_dict">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.load_dict">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.load_dict">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.load_dict">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.load_dict">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.load_dict">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.load_dict">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.load_dict">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.load_dict">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.load_dict">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.load_dict">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.load_dict">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.load_dict">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.load_dict">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.load_dict">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.load_dict">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.load_dict">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.load_dict">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.load_dict">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.load_dict">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.load_dict">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.load_dict">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.load_dict">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.load_dict">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.load_dict">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.load_dict">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.load_dict">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.load_dict">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.load_dict">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.load_dict">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.load_dict">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.load_dict">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.load_dict">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.load_dict">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.load_dict">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.load_dict">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.load_dict">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.load_dict">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.load_dict">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.load_dict">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.load_dict">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.load_dict">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.load_dict">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.load_dict">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.load_dict">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.load_dict">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.load_dict">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.load_dict">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.load_dict">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.load_dict">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.load_dict">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.load_dict">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.load_dict">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.load_dict">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.load_dict">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.load_dict">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.load_dict">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.load_dict">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.load_dict">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.load_dict">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.load_dict">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.load_dict">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.load_dict">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.load_dict">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.load_dict">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.load_dict">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.load_dict">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.load_dict">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.load_dict">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.load_dict">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.load_dict">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.load_frombuffer">load_frombuffer() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/utils/index.html#mxnet.ndarray.utils.load_frombuffer">(in module mxnet.ndarray.utils)</a>
</li>
</ul></li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.load_optimizer_states">load_optimizer_states() (BytePS method)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.load_optimizer_states">(Horovod method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.load_optimizer_states">(KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.load_optimizer_states">(KVStoreBase method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.load_parameters">load_parameters() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.load_parameters">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.load_parameters">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.load_parameters">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.load_parameters">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.load_parameters">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.load_parameters">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.load_parameters">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.load_parameters">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.load_parameters">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.load_parameters">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.load_parameters">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.load_parameters">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.load_parameters">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.load_parameters">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.load_parameters">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.load_parameters">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.load_parameters">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.load_parameters">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.load_parameters">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.load_parameters">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.load_parameters">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.load_parameters">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.load_parameters">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.load_parameters">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.load_parameters">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.load_parameters">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.load_parameters">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.load_parameters">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.load_parameters">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.load_parameters">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.load_parameters">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.load_parameters">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.load_parameters">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.load_parameters">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.load_parameters">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.load_parameters">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.load_parameters">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.load_parameters">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.load_parameters">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.load_parameters">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.load_parameters">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.load_parameters">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.load_parameters">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.load_parameters">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.load_parameters">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.load_parameters">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.load_parameters">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.load_parameters">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.load_parameters">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.load_parameters">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.load_parameters">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.load_parameters">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.load_parameters">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.load_parameters">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.load_parameters">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.load_parameters">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.load_parameters">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.load_parameters">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.load_parameters">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.load_parameters">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.load_parameters">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.load_parameters">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.load_parameters">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.load_parameters">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.load_parameters">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.load_parameters">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.load_parameters">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.load_parameters">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.load_parameters">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.load_parameters">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.load_parameters">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.load_parameters">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.load_parameters">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/gluon/trainer.html#mxnet.gluon.Trainer.load_states">load_states() (Trainer method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.local_rank">local_rank() (BytePS property)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.locationError">locationError() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.log">log() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.log">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.log">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.log.html#mxnet.np.log">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.log">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.log">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.log">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.log">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.log">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.log10">log10() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.log10">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.log10">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.log10.html#mxnet.np.log10">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.log10">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.log10">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.log10">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.log10">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.log10">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.log1p">log1p() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.log1p">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.log1p">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.log1p.html#mxnet.np.log1p">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.log1p">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.log1p">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.log1p">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.log1p">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.log1p">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.log2">log2() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.log2">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.log2">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.log2.html#mxnet.np.log2">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.log2">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.log2">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.log2">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.log2">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.log2">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.log_sigmoid">log_sigmoid() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.log_sigmoid">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.log_sigmoid">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.log_sigmoid">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.log_sigmoid">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.log_sigmoid">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.log_sigmoid">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.log_sigmoid">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.log_softmax">log_softmax() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.log_softmax">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.log_softmax.html#mxnet.npx.log_softmax">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.log_softmax">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.log_softmax">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.log_softmax">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.log_softmax">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/callback/index.html#mxnet.callback.log_train_metric">log_train_metric() (in module mxnet.callback)</a>
</li>
<li><a href="api/np/generated/mxnet.np.logaddexp.html#mxnet.np.logaddexp">logaddexp() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.Estimator.logger">logger (Estimator attribute)</a>
</li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.LoggingHandler">LoggingHandler (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.logical_and">logical_and() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.logical_not">logical_not() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.logical_not">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.logical_not">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.logical_not">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.logical_or">logical_or() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.logical_xor">logical_xor() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.logistic.html#mxnet.np.random.logistic">logistic() (in module mxnet.np.random)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss">LogisticLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.LogisticRegressionOutput">LogisticRegressionOutput() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.LogisticRegressionOutput">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.LogisticRegressionOutput">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.LogisticRegressionOutput">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.LogisticRegressionOutput">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.LogisticRegressionOutput">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/contrib/tensorboard/index.html#mxnet.contrib.tensorboard.LogMetricsCallback">LogMetricsCallback (class in mxnet.contrib.tensorboard)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.lognormal.html#mxnet.np.random.lognormal">lognormal() (in module mxnet.np.random)</a>
</li>
<li><a href="api/np/generated/mxnet.np.logspace.html#mxnet.np.logspace">logspace() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/callback/index.html#mxnet.callback.LogValidationMetricsCallback">LogValidationMetricsCallback (class in mxnet.callback)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss">Loss (class in mxnet.gluon.loss)</a>
<ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Loss">(class in mxnet.gluon.metric)</a>
</li>
</ul></li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.lr_mult">lr_mult (Parameter attribute)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.LRN">LRN() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.LRN">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.LRN">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.LRN">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/lr_scheduler/index.html#mxnet.lr_scheduler.LRScheduler">LRScheduler (class in mxnet.lr_scheduler)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTM">LSTM (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.LSTMBias">LSTMBias (class in mxnet.initializer)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell">LSTMCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell">LSTMPCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.lstsq.html#mxnet.np.linalg.lstsq">lstsq() (in module mxnet.np.linalg)</a>
</li>
</ul></td>
</tr></table>
<h2 id="M">M</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MAE">MAE (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.MAERegressionOutput">MAERegressionOutput() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.MAERegressionOutput">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.MAERegressionOutput">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.MAERegressionOutput">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.MAERegressionOutput">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.MAERegressionOutput">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.make_loss">make_loss() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.make_loss">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.make_loss">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.make_loss">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.make_loss">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.make_loss">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.makediag">makediag() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.makediag">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.MakeLoss">MakeLoss() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.MakeLoss">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.MakeLoss">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.MakeLoss">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.maketrian">maketrian() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.maketrian">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.Marker.mark">mark() (Marker method)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.mark_variables">mark_variables() (in module mxnet.autograd)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Marker">Marker (class in mxnet.profiler)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.masked_log_softmax">masked_log_softmax() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.masked_log_softmax">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.masked_log_softmax">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.masked_log_softmax">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.masked_softmax">masked_softmax() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.masked_softmax">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.masked_softmax">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.masked_softmax">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.matmul.html#mxnet.np.matmul">matmul() (in module mxnet.np)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-5">matrix</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.matrix_power.html#mxnet.np.linalg.matrix_power">matrix_power() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.matrix_rank.html#mxnet.np.linalg.matrix_rank">matrix_rank() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.max">max() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.max">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.max.html#mxnet.np.max">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.max">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.max">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.max">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.max">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.max_axis">max_axis() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.max_axis">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.max_axis">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.max_axis">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.maximum">maximum() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.maximum.html#mxnet.np.maximum">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.maximum">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.MaxPool1D">MaxPool1D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.MaxPool2D">MaxPool2D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.MaxPool3D">MaxPool3D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MCC">MCC (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.mean">mean() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.mean">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.mean">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.mean.html#mxnet.np.mean">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.mean">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.mean">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.mean">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.mean">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.mean">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.mean_check">mean_check() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanCosineSimilarity">MeanCosineSimilarity (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanPairwiseDistance">MeanPairwiseDistance (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/np/generated/mxnet.np.median.html#mxnet.np.median">median() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.meshgrid.html#mxnet.np.meshgrid">meshgrid() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.MetricHandler">MetricHandler (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.min">min() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.min">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.min.html#mxnet.np.min">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.min">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.min">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.min">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.min">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.min_axis">min_axis() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.min_axis">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.min_axis">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.min_axis">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.minimum">minimum() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.minimum.html#mxnet.np.minimum">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.minimum">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.mish">mish() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.mish">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.mish">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.mish">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.mish">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.mish">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.mish">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.mish">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/initializer/index.html#mxnet.initializer.Mixed">Mixed (class in mxnet.initializer)</a>
</li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.MNIST">MNIST (class in mxnet.gluon.data.vision.datasets)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MNISTIter">MNISTIter() (in module mxnet.io)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet">MobileNet (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.mobilenet0_25">mobilenet0_25() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.mobilenet0_5">mobilenet0_5() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.mobilenet0_75">mobilenet0_75() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.mobilenet1_0">mobilenet1_0() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.mobilenet_v2_0_25">mobilenet_v2_0_25() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.mobilenet_v2_0_5">mobilenet_v2_0_5() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.mobilenet_v2_0_75">mobilenet_v2_0_75() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.mobilenet_v2_1_0">mobilenet_v2_1_0() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2">MobileNetV2 (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/np/generated/mxnet.np.mod.html#mxnet.np.mod">mod() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.modf.html#mxnet.np.modf">modf() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell">ModifierCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution">ModulatedDeformableConvolution (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.modulo">modulo() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.moments">moments() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.moments">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.moments">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.moments">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.moveaxis">moveaxis() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.moveaxis.html#mxnet.np.moveaxis">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.mp_lamb_update_phase1">mp_lamb_update_phase1() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.mp_lamb_update_phase1">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.mp_lamb_update_phase1">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.mp_lamb_update_phase1">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.mp_lamb_update_phase2">mp_lamb_update_phase2() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.mp_lamb_update_phase2">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.mp_lamb_update_phase2">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.mp_lamb_update_phase2">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.mp_nag_mom_update">mp_nag_mom_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.mp_nag_mom_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.mp_nag_mom_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.mp_nag_mom_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.mp_sgd_mom_update">mp_sgd_mom_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.mp_sgd_mom_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.mp_sgd_mom_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.mp_sgd_mom_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.mp_sgd_update">mp_sgd_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.mp_sgd_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.mp_sgd_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.mp_sgd_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.mrcnn_mask_target">mrcnn_mask_target() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.mrcnn_mask_target">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.mrcnn_mask_target">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.mrcnn_mask_target">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MSE">MSE (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/np/generated/mxnet.np.msort.html#mxnet.np.msort">msort() (in module mxnet.np)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.MSRAPrelu">MSRAPrelu (class in mxnet.initializer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.multi_all_finite">multi_all_finite() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.multi_all_finite">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.multi_all_finite">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.multi_all_finite">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.linalg.multi_dot.html#mxnet.np.linalg.multi_dot">multi_dot() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.multi_lars">multi_lars() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.multi_lars">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.multi_lars">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.multi_lars">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.multi_mp_sgd_mom_update">multi_mp_sgd_mom_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.multi_mp_sgd_mom_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.multi_mp_sgd_mom_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.multi_mp_sgd_mom_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.multi_mp_sgd_update">multi_mp_sgd_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.multi_mp_sgd_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.multi_mp_sgd_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.multi_mp_sgd_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.multi_sgd_mom_update">multi_sgd_mom_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.multi_sgd_mom_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.multi_sgd_mom_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.multi_sgd_mom_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.multi_sgd_update">multi_sgd_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.multi_sgd_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.multi_sgd_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.multi_sgd_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.multi_sum_sq">multi_sum_sq() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.multi_sum_sq">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.multi_sum_sq">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.multi_sum_sq">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.multibox_detection.html#mxnet.npx.multibox_detection">multibox_detection() (in module mxnet.npx)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.multibox_prior.html#mxnet.npx.multibox_prior">multibox_prior() (in module mxnet.npx)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.multibox_target.html#mxnet.npx.multibox_target">multibox_target() (in module mxnet.npx)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.MultiBoxDetection">MultiBoxDetection() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.MultiBoxDetection">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.MultiBoxDetection">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.MultiBoxDetection">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.MultiBoxPrior">MultiBoxPrior() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.MultiBoxPrior">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.MultiBoxPrior">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.MultiBoxPrior">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.MultiBoxTarget">MultiBoxTarget() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.MultiBoxTarget">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.MultiBoxTarget">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.MultiBoxTarget">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/lr_scheduler/index.html#mxnet.lr_scheduler.MultiFactorScheduler">MultiFactorScheduler (class in mxnet.lr_scheduler)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.multinomial">multinomial() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/np/random/generated/mxnet.np.random.multinomial.html#mxnet.np.random.multinomial">(in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.multinomial">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.multiply">multiply() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.multiply">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.multiply.html#mxnet.np.multiply">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.MultiProposal">MultiProposal() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.MultiProposal">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.MultiProposal">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.MultiProposal">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/random/generated/mxnet.np.random.multivariate_normal.html#mxnet.np.random.multivariate_normal">multivariate_normal() (in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MXDataIter">MXDataIter (class in mxnet.io)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXIndexedRecordIO">MXIndexedRecordIO (class in mxnet.recordio)</a>
</li>
<li><a href="api/autograd/index.html#module-mxnet.autograd">mxnet.autograd (module)</a>
</li>
<li><a href="api/legacy/callback/index.html#module-mxnet.callback">mxnet.callback (module)</a>
</li>
<li><a href="api/contrib/index.html#module-mxnet.contrib">mxnet.contrib (module)</a>
</li>
<li><a href="api/contrib/io/index.html#module-mxnet.contrib.io">mxnet.contrib.io (module)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#module-mxnet.contrib.ndarray">mxnet.contrib.ndarray (module)</a>
</li>
<li><a href="api/contrib/onnx/index.html#module-mxnet.contrib.onnx">mxnet.contrib.onnx (module)</a>
</li>
<li><a href="api/contrib/quantization/index.html#module-mxnet.contrib.quantization">mxnet.contrib.quantization (module)</a>
</li>
<li><a href="api/contrib/symbol/index.html#module-mxnet.contrib.symbol">mxnet.contrib.symbol (module)</a>
</li>
<li><a href="api/contrib/tensorboard/index.html#module-mxnet.contrib.tensorboard">mxnet.contrib.tensorboard (module)</a>
</li>
<li><a href="api/contrib/tensorrt/index.html#module-mxnet.contrib.tensorrt">mxnet.contrib.tensorrt (module)</a>
</li>
<li><a href="api/contrib/text/index.html#module-mxnet.contrib.text">mxnet.contrib.text (module)</a>
</li>
<li><a href="api/device/index.html#module-mxnet.device">mxnet.device (module)</a>
</li>
<li><a href="api/engine/index.html#module-mxnet.engine">mxnet.engine (module)</a>
</li>
<li><a href="api/executor/index.html#module-mxnet.executor">mxnet.executor (module)</a>
</li>
<li><a href="api/gluon/index.html#module-mxnet.gluon">mxnet.gluon (module)</a>
</li>
<li><a href="api/gluon/contrib/index.html#module-mxnet.gluon.contrib">mxnet.gluon.contrib (module)</a>
</li>
<li><a href="api/gluon/contrib/index.html#module-mxnet.gluon.contrib.estimator">mxnet.gluon.contrib.estimator (module)</a>
</li>
<li><a href="api/gluon/data/index.html#module-mxnet.gluon.data">mxnet.gluon.data (module)</a>
</li>
<li><a href="api/gluon/data/vision/index.html#module-mxnet.gluon.data.vision">mxnet.gluon.data.vision (module)</a>
</li>
<li><a href="api/gluon/data/vision/datasets/index.html#module-mxnet.gluon.data.vision.datasets">mxnet.gluon.data.vision.datasets (module)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#module-mxnet.gluon.data.vision.transforms">mxnet.gluon.data.vision.transforms (module)</a>
</li>
<li><a href="api/gluon/loss/index.html#module-mxnet.gluon.loss">mxnet.gluon.loss (module)</a>
</li>
<li><a href="api/gluon/metric/index.html#module-mxnet.gluon.metric">mxnet.gluon.metric (module)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#module-mxnet.gluon.model_zoo.vision">mxnet.gluon.model_zoo.vision (module)</a>
</li>
<li><a href="api/gluon/nn/index.html#module-mxnet.gluon.nn">mxnet.gluon.nn (module)</a>
</li>
<li><a href="api/gluon/rnn/index.html#module-mxnet.gluon.rnn">mxnet.gluon.rnn (module)</a>
</li>
<li><a href="api/gluon/utils/index.html#module-mxnet.gluon.utils">mxnet.gluon.utils (module)</a>
</li>
<li><a href="api/legacy/image/index.html#module-mxnet.image">mxnet.image (module)</a>
</li>
<li><a href="api/initializer/index.html#module-mxnet.initializer">mxnet.initializer (module)</a>
</li>
<li><a href="api/legacy/io/index.html#module-mxnet.io">mxnet.io (module)</a>
</li>
<li><a href="api/kvstore_server/index.html#module-mxnet.kvstore_server">mxnet.kvstore_server (module)</a>
</li>
<li><a href="api/lr_scheduler/index.html#module-mxnet.lr_scheduler">mxnet.lr_scheduler (module)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#module-mxnet.ndarray">mxnet.ndarray (module)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#module-mxnet.ndarray.contrib">mxnet.ndarray.contrib (module)</a>
</li>
<li><a href="api/legacy/ndarray/image/index.html#module-mxnet.ndarray.image">mxnet.ndarray.image (module)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#module-mxnet.ndarray.linalg">mxnet.ndarray.linalg (module)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#module-mxnet.ndarray.op">mxnet.ndarray.op (module)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#module-mxnet.ndarray.random">mxnet.ndarray.random (module)</a>
</li>
<li><a href="api/legacy/ndarray/register/index.html#module-mxnet.ndarray.register">mxnet.ndarray.register (module)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#module-mxnet.ndarray.sparse">mxnet.ndarray.sparse (module)</a>
</li>
<li><a href="api/legacy/ndarray/utils/index.html#module-mxnet.ndarray.utils">mxnet.ndarray.utils (module)</a>
</li>
<li><a href="api/np/index.html#module-mxnet.np">mxnet.np (module)</a>
</li>
<li><a href="api/np/routines.linalg.html#module-mxnet.np.linalg">mxnet.np.linalg (module)</a>
</li>
<li><a href="api/optimizer/index.html#module-mxnet.optimizer">mxnet.optimizer (module)</a>
</li>
<li><a href="api/profiler/index.html#module-mxnet.profiler">mxnet.profiler (module)</a>
</li>
<li><a href="api/legacy/recordio/index.html#module-mxnet.recordio">mxnet.recordio (module)</a>
</li>
<li><a href="api/rtc/index.html#module-mxnet.rtc">mxnet.rtc (module)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#module-mxnet.symbol">mxnet.symbol (module)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#module-mxnet.symbol.contrib">mxnet.symbol.contrib (module)</a>
</li>
<li><a href="api/legacy/symbol/image/index.html#module-mxnet.symbol.image">mxnet.symbol.image (module)</a>
</li>
<li><a href="api/legacy/symbol/linalg/index.html#module-mxnet.symbol.linalg">mxnet.symbol.linalg (module)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#module-mxnet.symbol.op">mxnet.symbol.op (module)</a>
</li>
<li><a href="api/legacy/symbol/random/index.html#module-mxnet.symbol.random">mxnet.symbol.random (module)</a>
</li>
<li><a href="api/legacy/symbol/register/index.html#module-mxnet.symbol.register">mxnet.symbol.register (module)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#module-mxnet.symbol.sparse">mxnet.symbol.sparse (module)</a>
</li>
<li><a href="api/test_utils/index.html#module-mxnet.test_utils">mxnet.test_utils (module)</a>
</li>
<li><a href="api/util/index.html#module-mxnet.util">mxnet.util (module)</a>
</li>
<li><a href="api/legacy/visualization/index.html#module-mxnet.visualization">mxnet.visualization (module)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXRecordIO">MXRecordIO (class in mxnet.recordio)</a>
</li>
</ul></td>
</tr></table>
<h2 id="N">N</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Nadam">Nadam (class in mxnet.optimizer)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.NAG">NAG (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.nag_mom_update">nag_mom_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.nag_mom_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.nag_mom_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.nag_mom_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/runtime/generated/mxnet.runtime.Feature.html#mxnet.runtime.Feature.name">name() (Feature property)</a>
<ul>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.name">(Symbol property)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.nan_to_num.html#mxnet.np.nan_to_num">nan_to_num() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nanargmax.html#mxnet.np.nanargmax">nanargmax() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nanargmin.html#mxnet.np.nanargmin">nanargmin() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nancumprod.html#mxnet.np.nancumprod">nancumprod() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nancumsum.html#mxnet.np.nancumsum">nancumsum() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nanmax.html#mxnet.np.nanmax">nanmax() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nanmedian.html#mxnet.np.nanmedian">nanmedian() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nanmin.html#mxnet.np.nanmin">nanmin() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nanpercentile.html#mxnet.np.nanpercentile">nanpercentile() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.nanprod">nanprod() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.nanprod">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nanprod.html#mxnet.np.nanprod">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.nanprod">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.nanprod">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.nanprod">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.nanprod">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.nanquantile.html#mxnet.np.nanquantile">nanquantile() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nanstd.html#mxnet.np.nanstd">nanstd() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.nansum">nansum() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.nansum">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.nansum.html#mxnet.np.nansum">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.nansum">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.nansum">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.nansum">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.nansum">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.nanvar.html#mxnet.np.nanvar">nanvar() (in module mxnet.np)</a>
</li>
<li><a href="api/np/arrays.indexing.html#index-1">ndarray</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray">NDArray (class in mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter">NDArrayIter (class in mxnet.io)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.ndim">ndim() (NDArray property)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.negative">negative() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.negative">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.negative">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.negative.html#mxnet.np.negative">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.negative">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.negative">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.negative">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.negative_binomial">negative_binomial() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.negative_binomial">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.negative_binomial_like">negative_binomial_like() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.negative_binomial_like">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.Domain.new_counter">new_counter() (Domain method)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Domain.new_frame">new_frame() (Domain method)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Domain.new_marker">new_marker() (Domain method)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/test_utils/index.html#mxnet.test_utils.new_matrix_with_real_eigvals_2d">new_matrix_with_real_eigvals_2d() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.new_matrix_with_real_eigvals_nd">new_matrix_with_real_eigvals_nd() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.new_orthonormal_matrix_2d">new_orthonormal_matrix_2d() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.new_sym_matrix_with_real_eigvals_2d">new_sym_matrix_with_real_eigvals_2d() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.new_sym_matrix_with_real_eigvals_nd">new_sym_matrix_with_real_eigvals_nd() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Domain.new_task">new_task() (Domain method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataIter.next">next() (DataIter method)</a>
<ul>
<li><a href="api/test_utils/index.html#mxnet.test_utils.DummyIter.next">(DummyIter method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageDetIter.next">(ImageDetIter method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.next">(ImageIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MXDataIter.next">(MXDataIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.next">(NDArrayIter method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.PrefetchingIter.next">(PrefetchingIter method)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.next_sample">next_sample() (ImageIter method)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-2">non-contiguous</a>
</li>
<li><a href="api/np/generated/mxnet.np.nonzero.html#mxnet.np.nonzero">nonzero() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.norm">norm() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.norm">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.norm">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.norm.html#mxnet.np.linalg.norm">(in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.norm">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.norm">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.norm">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.norm">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.norm">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/initializer/index.html#mxnet.initializer.Normal">Normal (class in mxnet.initializer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.normal">normal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.normal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.normal">(in module mxnet.ndarray.random)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.normal.html#mxnet.np.random.normal">(in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.normal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.normal">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.normal">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.normal_like">normal_like() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.normal_like">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.normalize">normalize() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.normalize">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.not_equal">not_equal() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.np">np() (in module mxnet.gluon.metric)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.np_array">np_array() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.np_default_dtype">np_default_dtype() (in module mxnet.util)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.np_reduce">np_reduce() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.np_shape">np_shape() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.np_ufunc_legal_option">np_ufunc_legal_option() (in module mxnet.util)</a>
</li>
<li><a href="api/device/index.html#mxnet.device.num_gpus">num_gpus() (in module mxnet.device)</a>
<ul>
<li><a href="api/npx/generated/mxnet.npx.num_gpus.html#mxnet.npx.num_gpus">(in module mxnet.npx)</a>
</li>
</ul></li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.num_workers">num_workers() (BytePS property)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.num_workers">(Horovod property)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.num_workers">(KVStore property)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.num_workers">(KVStoreBase property)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.Number">Number (class in mxnet.image)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.numeric_grad">numeric_grad() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.numpy_fallback">numpy_fallback() (in module mxnet.util)</a>
</li>
</ul></td>
</tr></table>
<h2 id="O">O</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/arrays.ndarray.html#index-1">offset</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.One">One (class in mxnet.initializer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.one_hot">one_hot() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.one_hot">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.one_hot.html#mxnet.npx.one_hot">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.one_hot">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.one_hot">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.one_hot">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.one_hot">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.onehot_encode">onehot_encode() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ones">ones() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.ones.html#mxnet.np.ones">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ones">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ones_like">ones_like() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.ones_like">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.ones_like.html#mxnet.np.ones_like">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ones_like">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.ones_like">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.ones_like">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.ones_like">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXIndexedRecordIO.open">open() (MXIndexedRecordIO method)</a>
<ul>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXRecordIO.open">(MXRecordIO method)</a>
</li>
</ul></li>
<li><a href="api/np/arrays.ndarray.html#index-5">operation</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-5">operator</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.optimize_for">optimize_for() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.optimize_for">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.optimize_for">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.optimize_for">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.optimize_for">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.optimize_for">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.optimize_for">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.optimize_for">(Cast method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.optimize_for">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.optimize_for">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.optimize_for">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.optimize_for">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.optimize_for">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.optimize_for">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.optimize_for">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.optimize_for">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.optimize_for">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.optimize_for">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.optimize_for">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.optimize_for">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.optimize_for">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.optimize_for">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.optimize_for">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.optimize_for">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.optimize_for">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.optimize_for">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.optimize_for">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.optimize_for">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.optimize_for">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.optimize_for">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.optimize_for">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.optimize_for">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.optimize_for">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.optimize_for">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.optimize_for">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.optimize_for">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.optimize_for">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.optimize_for">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.optimize_for">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.optimize_for">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.optimize_for">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.optimize_for">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.optimize_for">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.optimize_for">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.optimize_for">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.optimize_for">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.optimize_for">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.optimize_for">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.optimize_for">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.optimize_for">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.optimize_for">(PReLU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.optimize_for">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.optimize_for">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.optimize_for">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.optimize_for">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.optimize_for">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.optimize_for">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.optimize_for">(SELU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.optimize_for">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.optimize_for">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.optimize_for">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.optimize_for">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.optimize_for">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.optimize_for">(Swish method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.optimize_for">(Symbol method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.optimize_for">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.optimize_for">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.optimize_for">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.optimize_for">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.optimize_for">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.optimize_for">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer">Optimizer (class in mxnet.optimizer)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.Orthogonal">Orthogonal (class in mxnet.initializer)</a>
</li>
<li><a href="api/np/generated/mxnet.np.outer.html#mxnet.np.outer">outer() (in module mxnet.np)</a>
</li>
<li><a href="api/executor/index.html#mxnet.executor.Executor.output_dict">output_dict() (Executor property)</a>
</li>
</ul></td>
</tr></table>
<h2 id="P">P</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.pack">pack() (in module mxnet.recordio)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.pack_img">pack_img() (in module mxnet.recordio)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Pad">Pad() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.pad">pad() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Pad">Pad() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.pad">pad() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Pad">Pad() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.pad">pad() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Pad">Pad() (in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.pad">pad() (in module mxnet.symbol.op)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.pad">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.pad">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter">Parameter (class in mxnet.gluon)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.params">params() (Activation property)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.params">(AlexNet property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.params">(BasicBlockV1 property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.params">(BasicBlockV2 property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.params">(BidirectionalCell property)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.params">(Block property)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.params">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.params">(BottleneckV1 property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.params">(BottleneckV2 property)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.params">(Cast property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.params">(Concatenate property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.params">(CosineEmbeddingLoss property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.params">(CTCLoss property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.params">(DeformableConvolution property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.params">(Dense property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.params">(DenseNet property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.params">(Dropout property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.params">(DropoutCell property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.params">(ELU property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.params">(Embedding property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.params">(Flatten property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.params">(GELU property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.params">(GroupNorm property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.params">(GRUCell property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.params">(HingeLoss property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.params">(HuberLoss property)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.params">(HybridBlock property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.params">(HybridConcatenate property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.params">(HybridLambda property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.params">(HybridRecurrentCell property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.params">(HybridSequential property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.params">(HybridSequentialRNNCell property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.params">(Identity property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.params">(Inception3 property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.params">(InstanceNorm property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.params">(KLDivLoss property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.params">(L1Loss property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.params">(L2Loss property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.params">(LayerNorm property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.params">(LeakyReLU property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.params">(LogisticLoss property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.params">(Loss property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.params">(LSTMCell property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.params">(LSTMPCell property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.params">(MobileNet property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.params">(MobileNetV2 property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.params">(ModifierCell property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.params">(ModulatedDeformableConvolution property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.params">(PixelShuffle1D property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.params">(PixelShuffle2D property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.params">(PixelShuffle3D property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.params">(PoissonNLLLoss property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.params">(PReLU property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.params">(RecurrentCell property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.params">(ReflectionPad2D property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.params">(ResidualCell property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.params">(ResNetV1 property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.params">(ResNetV2 property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.params">(RNNCell property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.params">(SDMLLoss property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.params">(SELU property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.params">(SequentialRNNCell property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.params">(SigmoidBinaryCrossEntropyLoss property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.params">(SiLU property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.params">(SoftmaxCrossEntropyLoss property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.params">(SquaredHingeLoss property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.params">(SqueezeNet property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.params">(Swish property)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.params">(SymbolBlock property)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.params">(SyncBatchNorm property)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.params">(TripletLoss property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.params">(VariationalDropoutCell property)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.params">(VGG property)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.params">(ZoneoutCell property)</a>
</li>
</ul></li>
<li><a href="api/np/random/generated/mxnet.np.random.pareto.html#mxnet.np.random.pareto">pareto() (in module mxnet.np.random)</a>
</li>
<li><a href="api/np/generated/mxnet.np.partition.html#mxnet.np.partition">partition() (in module mxnet.np)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.pause">pause() (in module mxnet.autograd)</a>
<ul>
<li><a href="api/profiler/index.html#mxnet.profiler.pause">(in module mxnet.profiler)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PCC">PCC (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PearsonCorrelation">PearsonCorrelation (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/np/generated/mxnet.np.percentile.html#mxnet.np.percentile">percentile() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Perplexity">Perplexity (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.pick">pick() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.pick">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.pick.html#mxnet.npx.pick">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.pick">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.pick">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.pick">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.pick">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.linalg.pinv.html#mxnet.np.linalg.pinv">pinv() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D">PixelShuffle1D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D">PixelShuffle2D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D">PixelShuffle3D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/visualization/index.html#mxnet.visualization.plot_network">plot_network() (in module mxnet.visualization)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.poisson">poisson() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.poisson">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.poisson_like">poisson_like() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.poisson_like">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss">PoissonNLLLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/lr_scheduler/index.html#mxnet.lr_scheduler.PolyScheduler">PolyScheduler (class in mxnet.lr_scheduler)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Pooling">Pooling() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Pooling">(in module mxnet.ndarray.op)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.pooling.html#mxnet.npx.pooling">pooling() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Pooling">Pooling() (in module mxnet.symbol)</a>
<ul>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Pooling">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.positive.html#mxnet.np.positive">positive() (in module mxnet.np)</a>
</li>
<li><a href="api/contrib/quantization/index.html#mxnet.contrib.quantization.CalibrationCollector.post_collect">post_collect() (CalibrationCollector method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.postprocess_data">postprocess_data() (ImageIter method)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.potrf">potrf() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.potrf">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.potri">potri() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.potri">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.pow">pow() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.power">power() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.power.html#mxnet.np.power">(in module mxnet.np)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.power.html#mxnet.np.random.power">(in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.power">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.pre_infer_offset_weight">pre_infer_offset_weight() (DeformableConvolution method)</a>
<ul>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.pre_infer_offset_weight">(ModulatedDeformableConvolution method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.pre_infer_weight">pre_infer_weight() (DeformableConvolution method)</a>
<ul>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.pre_infer_weight">(ModulatedDeformableConvolution method)</a>
</li>
</ul></li>
<li><a href="api/autograd/index.html#mxnet.autograd.predict_mode">predict_mode() (in module mxnet.autograd)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.predict_with_threshold">predict_with_threshold() (in module mxnet.gluon.metric)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.PrefetchingIter">PrefetchingIter (class in mxnet.io)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.preloaded_multi_mp_sgd_mom_update">preloaded_multi_mp_sgd_mom_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.preloaded_multi_mp_sgd_mom_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.preloaded_multi_mp_sgd_mom_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.preloaded_multi_mp_sgd_mom_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.preloaded_multi_mp_sgd_update">preloaded_multi_mp_sgd_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.preloaded_multi_mp_sgd_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.preloaded_multi_mp_sgd_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.preloaded_multi_mp_sgd_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.preloaded_multi_sgd_mom_update">preloaded_multi_sgd_mom_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.preloaded_multi_sgd_mom_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.preloaded_multi_sgd_mom_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.preloaded_multi_sgd_mom_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.preloaded_multi_sgd_update">preloaded_multi_sgd_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.preloaded_multi_sgd_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.preloaded_multi_sgd_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.preloaded_multi_sgd_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU">PReLU (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/visualization/index.html#mxnet.visualization.print_summary">print_summary() (in module mxnet.visualization)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.prod">prod() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.prod">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.prod.html#mxnet.np.prod">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.prod">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.prod">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.prod">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.prod">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.profiler_set_config">profiler_set_config() (in module mxnet.profiler)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.profiler_set_state">profiler_set_state() (in module mxnet.profiler)</a>
</li>
<li><a href="api/legacy/callback/index.html#mxnet.callback.ProgressBar">ProgressBar (class in mxnet.callback)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.Proposal">Proposal() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.Proposal">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.Proposal">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.Proposal">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.provide_data">provide_data() (NDArrayIter property)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.provide_label">provide_label() (NDArrayIter property)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.PSROIPooling">PSROIPooling() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.PSROIPooling">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.PSROIPooling">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.PSROIPooling">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.ptp.html#mxnet.np.ptp">ptp() (in module mxnet.np)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.pull">pull() (KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.push">push() (KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.pushpull">pushpull() (BytePS method)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.pushpull">(Horovod method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.pushpull">(KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.pushpull">(KVStoreBase method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="Q">Q</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/generated/mxnet.np.linalg.qr.html#mxnet.np.linalg.qr">qr() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quadratic">quadratic() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quadratic">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quadratic">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quadratic">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.quantile.html#mxnet.np.quantile">quantile() (in module mxnet.np)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantize">quantize() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantize">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantize">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantize">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantize_asym">quantize_asym() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantize_asym">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantize_asym">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantize_asym">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/quantization/index.html#mxnet.contrib.quantization.quantize_graph">quantize_graph() (in module mxnet.contrib.quantization)</a>
</li>
<li><a href="api/contrib/quantization/index.html#mxnet.contrib.quantization.quantize_model">quantize_model() (in module mxnet.contrib.quantization)</a>
</li>
<li><a href="api/contrib/quantization/index.html#mxnet.contrib.quantization.quantize_model_onednn">quantize_model_onednn() (in module mxnet.contrib.quantization)</a>
</li>
<li><a href="api/contrib/quantization/index.html#mxnet.contrib.quantization.quantize_net">quantize_net() (in module mxnet.contrib.quantization)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantize_v2">quantize_v2() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantize_v2">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantize_v2">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantize_v2">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_act">quantized_act() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_act">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_act">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_act">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_batch_norm">quantized_batch_norm() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_batch_norm">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_batch_norm">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_batch_norm">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_batch_norm_relu">quantized_batch_norm_relu() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_batch_norm_relu">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_batch_norm_relu">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_batch_norm_relu">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_concat">quantized_concat() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_concat">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_concat">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_concat">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_conv">quantized_conv() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_conv">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_conv">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_conv">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_elemwise_add">quantized_elemwise_add() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_elemwise_add">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_elemwise_add">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_elemwise_add">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_elemwise_mul">quantized_elemwise_mul() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_elemwise_mul">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_elemwise_mul">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_elemwise_mul">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_embedding">quantized_embedding() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_embedding">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_embedding">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_embedding">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_flatten">quantized_flatten() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_flatten">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_flatten">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_flatten">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_fully_connected">quantized_fully_connected() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_fully_connected">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_fully_connected">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_fully_connected">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_npi_add">quantized_npi_add() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_npi_add">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_npi_add">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_npi_add">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_pooling">quantized_pooling() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_pooling">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_pooling">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_pooling">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_reshape">quantized_reshape() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_reshape">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.quantized_reshape">(in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_reshape">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.quantized_reshape">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.quantized_reshape">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_reshape">(in module mxnet.symbol.contrib)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.quantized_reshape">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_rnn">quantized_rnn() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_rnn">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_rnn">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_rnn">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.quantized_transpose">quantized_transpose() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.quantized_transpose">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.quantized_transpose">(in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.quantized_transpose">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.quantized_transpose">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.quantized_transpose">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.quantized_transpose">(in module mxnet.symbol.contrib)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.quantized_transpose">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="R">R</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/generated/mxnet.np.rad2deg.html#mxnet.np.rad2deg">rad2deg() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.radians">radians() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.radians">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.radians">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.radians.html#mxnet.np.radians">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.radians">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.radians">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.radians">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.radians">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.radians">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/random/generated/mxnet.np.random.rand.html#mxnet.np.random.rand">rand() (in module mxnet.np.random)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.rand_ndarray">rand_ndarray() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.rand_sparse_ndarray">rand_sparse_ndarray() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.rand_zipfian">rand_zipfian() (in module mxnet.ndarray.contrib)</a>
<ul>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.rand_zipfian">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.randint">randint() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/np/random/generated/mxnet.np.random.randint.html#mxnet.np.random.randint">(in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.randint">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.randn">randn() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.randn">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.random_arrays">random_arrays() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_binomial">random_binomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_binomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_binomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_binomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_brightness">random_brightness() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_brightness">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_color_jitter">random_color_jitter() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_color_jitter">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_contrast">random_contrast() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_contrast">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.random_crop">random_crop() (in module mxnet.image)</a>
<ul>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_crop">(in module mxnet.ndarray.image)</a>
</li>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_crop">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_exponential">random_exponential() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_exponential">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_exponential">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_exponential">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_flip_left_right">random_flip_left_right() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_flip_left_right">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_flip_top_bottom">random_flip_top_bottom() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_flip_top_bottom">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_gamma">random_gamma() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_gamma">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_gamma">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_gamma">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_generalized_negative_binomial">random_generalized_negative_binomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_generalized_negative_binomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_generalized_negative_binomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_generalized_negative_binomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_hue">random_hue() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_hue">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_lighting">random_lighting() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_lighting">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_negative_binomial">random_negative_binomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_negative_binomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_negative_binomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_negative_binomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_normal">random_normal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_normal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_normal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_normal">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_pdf_dirichlet">random_pdf_dirichlet() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_pdf_dirichlet">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_pdf_dirichlet">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_pdf_dirichlet">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_pdf_exponential">random_pdf_exponential() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_pdf_exponential">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_pdf_exponential">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_pdf_exponential">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_pdf_gamma">random_pdf_gamma() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_pdf_gamma">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_pdf_gamma">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_pdf_gamma">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_pdf_generalized_negative_binomial">random_pdf_generalized_negative_binomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_pdf_generalized_negative_binomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_pdf_generalized_negative_binomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_pdf_generalized_negative_binomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_pdf_negative_binomial">random_pdf_negative_binomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_pdf_negative_binomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_pdf_negative_binomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_pdf_negative_binomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_pdf_normal">random_pdf_normal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_pdf_normal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_pdf_normal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_pdf_normal">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_pdf_poisson">random_pdf_poisson() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_pdf_poisson">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_pdf_poisson">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_pdf_poisson">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_pdf_uniform">random_pdf_uniform() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_pdf_uniform">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_pdf_uniform">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_pdf_uniform">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_poisson">random_poisson() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_poisson">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_poisson">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_poisson">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_randint">random_randint() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_randint">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_randint">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_randint">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_resized_crop">random_resized_crop() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_resized_crop">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.random_rotate">random_rotate() (in module mxnet.image)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.random_sample">random_sample() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.random_saturation">random_saturation() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.random_saturation">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.random_size_crop">random_size_crop() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.random_uniform">random_uniform() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.random_uniform">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.random_uniform">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.random_uniform">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.random_uniform_arrays">random_uniform_arrays() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.RandomApply">RandomApply (class in mxnet.gluon.data.vision.transforms)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.RandomCropAug">RandomCropAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.RandomGrayAug">RandomGrayAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.RandomOrderAug">RandomOrderAug (class in mxnet.image)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.RandomSampler">RandomSampler (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.RandomSizedCropAug">RandomSizedCropAug (class in mxnet.image)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.rank">rank() (BytePS property)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.rank">(Horovod property)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.rank">(KVStore property)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.rank">(KVStoreBase property)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.ravel.html#mxnet.np.ravel">ravel() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ravel_multi_index">ravel_multi_index() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.ravel_multi_index">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ravel_multi_index">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.ravel_multi_index">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/random/generated/mxnet.np.random.rayleigh.html#mxnet.np.random.rayleigh">rayleigh() (in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.rcbrt">rcbrt() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.rcbrt">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.rcbrt">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.rcbrt">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.rcbrt">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.rcbrt">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXRecordIO.read">read() (MXRecordIO method)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXIndexedRecordIO.read_idx">read_idx() (MXIndexedRecordIO method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.read_image">read_image() (ImageIter method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.reciprocal">reciprocal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.reciprocal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.reciprocal.html#mxnet.np.reciprocal">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.reciprocal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.reciprocal">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.reciprocal">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.reciprocal">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/autograd/index.html#mxnet.autograd.record">record() (in module mxnet.autograd)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.RecordFileDataset">RecordFileDataset (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell">RecurrentCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D">ReflectionPad2D (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.register">register() (in module mxnet.initializer)</a>
<ul>
<li><a href="api/optimizer/index.html#mxnet.optimizer.register">(in module mxnet.optimizer)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.register">(KVStoreBase static method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.register">(Optimizer static method)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.register_child">register_child() (BidirectionalCell method)</a>
<ul>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.register_child">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.register_child">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.register_child">(Concatenate method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.register_child">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.register_child">(GRUCell method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.register_child">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.register_child">[1]</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.register_child">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.register_child">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.register_child">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.register_child">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.register_child">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.register_child">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.register_child">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.register_child">(RNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.register_child">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.register_child">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.register_child">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.register_child">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.register_forward_hook">register_forward_hook() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.register_forward_hook">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.register_forward_hook">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.register_forward_hook">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.register_forward_hook">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.register_forward_hook">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.register_forward_hook">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.register_forward_hook">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.register_forward_hook">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.register_forward_hook">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.register_forward_hook">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.register_forward_hook">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.register_forward_hook">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.register_forward_hook">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.register_forward_hook">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.register_forward_hook">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.register_forward_hook">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.register_forward_hook">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.register_forward_hook">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.register_forward_hook">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.register_forward_hook">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.register_forward_hook">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.register_forward_hook">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.register_forward_hook">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.register_forward_hook">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.register_forward_hook">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.register_forward_hook">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.register_forward_hook">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.register_forward_hook">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.register_forward_hook">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.register_forward_hook">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.register_forward_hook">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.register_forward_hook">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.register_forward_hook">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.register_forward_hook">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.register_forward_hook">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.register_forward_hook">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.register_forward_hook">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.register_forward_hook">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.register_forward_hook">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.register_forward_hook">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.register_forward_hook">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.register_forward_hook">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.register_forward_hook">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.register_forward_hook">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.register_forward_hook">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.register_forward_hook">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.register_forward_hook">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.register_forward_hook">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.register_forward_hook">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.register_forward_hook">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.register_forward_hook">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.register_forward_hook">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.register_forward_hook">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.register_forward_hook">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.register_forward_hook">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.register_forward_hook">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.register_forward_hook">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.register_forward_hook">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.register_forward_hook">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.register_forward_hook">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.register_forward_hook">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.register_forward_hook">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.register_forward_hook">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.register_forward_hook">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.register_forward_hook">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.register_forward_hook">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.register_forward_hook">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.register_forward_hook">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.register_forward_hook">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.register_forward_hook">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.register_forward_hook">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.register_forward_hook">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.register_forward_hook">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.register_forward_pre_hook">register_forward_pre_hook() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.register_forward_pre_hook">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.register_forward_pre_hook">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.register_forward_pre_hook">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.register_forward_pre_hook">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.register_forward_pre_hook">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.register_forward_pre_hook">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.register_forward_pre_hook">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.register_forward_pre_hook">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.register_forward_pre_hook">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.register_forward_pre_hook">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.register_forward_pre_hook">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.register_forward_pre_hook">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.register_forward_pre_hook">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.register_forward_pre_hook">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.register_forward_pre_hook">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.register_forward_pre_hook">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.register_forward_pre_hook">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.register_forward_pre_hook">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.register_forward_pre_hook">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.register_forward_pre_hook">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.register_forward_pre_hook">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.register_forward_pre_hook">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.register_forward_pre_hook">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.register_forward_pre_hook">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.register_forward_pre_hook">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.register_forward_pre_hook">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.register_forward_pre_hook">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.register_forward_pre_hook">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.register_forward_pre_hook">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.register_forward_pre_hook">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.register_forward_pre_hook">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.register_forward_pre_hook">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.register_forward_pre_hook">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.register_forward_pre_hook">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.register_forward_pre_hook">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.register_forward_pre_hook">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.register_forward_pre_hook">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.register_forward_pre_hook">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.register_forward_pre_hook">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.register_forward_pre_hook">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.register_forward_pre_hook">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.register_forward_pre_hook">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.register_forward_pre_hook">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.register_forward_pre_hook">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.register_forward_pre_hook">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.register_forward_pre_hook">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.register_forward_pre_hook">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.register_forward_pre_hook">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.register_forward_pre_hook">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.register_forward_pre_hook">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.register_forward_pre_hook">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.register_forward_pre_hook">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.register_forward_pre_hook">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.register_forward_pre_hook">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.register_forward_pre_hook">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.register_forward_pre_hook">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.register_forward_pre_hook">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.register_forward_pre_hook">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.register_forward_pre_hook">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.register_forward_pre_hook">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.register_forward_pre_hook">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.register_forward_pre_hook">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.register_forward_pre_hook">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.register_forward_pre_hook">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.register_forward_pre_hook">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.register_forward_pre_hook">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.register_forward_pre_hook">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.register_forward_pre_hook">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.register_forward_pre_hook">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.register_forward_pre_hook">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.register_forward_pre_hook">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.register_forward_pre_hook">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.register_forward_pre_hook">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.register_op_hook">register_op_hook() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.register_op_hook">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.register_op_hook">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.register_op_hook">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.register_op_hook">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.register_op_hook">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.register_op_hook">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.register_op_hook">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.register_op_hook">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.register_op_hook">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.register_op_hook">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.register_op_hook">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.register_op_hook">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.register_op_hook">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.register_op_hook">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.register_op_hook">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.register_op_hook">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.register_op_hook">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.register_op_hook">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.register_op_hook">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.register_op_hook">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.register_op_hook">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.register_op_hook">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.register_op_hook">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.register_op_hook">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.register_op_hook">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.register_op_hook">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.register_op_hook">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.register_op_hook">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.register_op_hook">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.register_op_hook">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.register_op_hook">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.register_op_hook">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.register_op_hook">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.register_op_hook">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.register_op_hook">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.register_op_hook">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.register_op_hook">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.register_op_hook">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.register_op_hook">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.register_op_hook">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.register_op_hook">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.register_op_hook">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.register_op_hook">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.register_op_hook">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.register_op_hook">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.register_op_hook">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.register_op_hook">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.register_op_hook">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.register_op_hook">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.register_op_hook">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.register_op_hook">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.register_op_hook">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.register_op_hook">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.register_op_hook">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.register_op_hook">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.register_op_hook">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.register_op_hook">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.register_op_hook">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.register_op_hook">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.register_op_hook">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.register_op_hook">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.register_op_hook">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.register_op_hook">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.register_op_hook">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.register_op_hook">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.register_op_hook">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.register_op_hook">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.register_op_hook">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.register_op_hook">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.register_op_hook">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.register_op_hook">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.register_op_hook">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.register_op_hook">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.register_op_hook">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.relu">relu() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.relu">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.relu">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.relu.html#mxnet.npx.relu">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.relu">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.relu">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.relu">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.relu">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.relu">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.remainder.html#mxnet.np.remainder">remainder() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.repeat">repeat() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.repeat">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.repeat.html#mxnet.np.repeat">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.repeat">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.repeat">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.repeat">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.repeat">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/utils/index.html#mxnet.gluon.utils.replace_file">replace_file() (in module mxnet.gluon.utils)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.requantize">requantize() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.requantize">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.requantize">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.requantize">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Accuracy.reset">reset() (Accuracy method)</a>
<ul>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.reset">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.BinaryAccuracy.reset">(BinaryAccuracy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CompositeEvalMetric.reset">(CompositeEvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CrossEntropy.reset">(CrossEntropy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CustomMetric.reset">(CustomMetric method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.DataIter.reset">(DataIter method)</a>
</li>
<li><a href="api/contrib/io/index.html#mxnet.contrib.io.DataLoaderIter.reset">(DataLoaderIter method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.reset">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.EvalMetric.reset">(EvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.F1.reset">(F1 method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Fbeta.reset">(Fbeta method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.reset">(GRUCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.reset">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.reset">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageIter.reset">(ImageIter method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Loss.reset">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.reset">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.reset">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MAE.reset">(MAE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MCC.reset">(MCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanCosineSimilarity.reset">(MeanCosineSimilarity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanPairwiseDistance.reset">(MeanPairwiseDistance method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.reset">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MSE.reset">(MSE method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.MXDataIter.reset">(MXDataIter method)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXRecordIO.reset">(MXRecordIO method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.NDArrayIter.reset">(NDArrayIter method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PCC.reset">(PCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PearsonCorrelation.reset">(PearsonCorrelation method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Perplexity.reset">(Perplexity method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.PrefetchingIter.reset">(PrefetchingIter method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.reset">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.reset">(ResidualCell method)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ResizeIter.reset">(ResizeIter method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.RMSE.reset">(RMSE method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.reset">(RNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.reset">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.TopKAccuracy.reset">(TopKAccuracy method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.reset">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.reset">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.reset_arrays">reset_arrays() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.reset_arrays">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.reset_arrays">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.reset_arrays">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.reset_ctx">reset_ctx() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.reset_ctx">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.reset_ctx">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.reset_ctx">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.reset_ctx">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.reset_ctx">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.reset_ctx">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.reset_ctx">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.reset_ctx">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.reset_ctx">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.reset_ctx">(Concatenate method)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.reset_ctx">(Constant method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.reset_ctx">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.reset_ctx">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.reset_ctx">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.reset_ctx">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.reset_ctx">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.reset_ctx">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.reset_ctx">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.reset_ctx">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.reset_ctx">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.reset_ctx">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.reset_ctx">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.reset_ctx">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.reset_ctx">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.reset_ctx">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.reset_ctx">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.reset_ctx">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.reset_ctx">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.reset_ctx">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.reset_ctx">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.reset_ctx">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.reset_ctx">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.reset_ctx">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.reset_ctx">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.reset_ctx">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.reset_ctx">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.reset_ctx">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.reset_ctx">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.reset_ctx">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.reset_ctx">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.reset_ctx">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.reset_ctx">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.reset_ctx">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.reset_ctx">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.reset_ctx">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.reset_ctx">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.reset_ctx">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.reset_ctx">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.reset_ctx">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.reset_ctx">(Parameter method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.reset_ctx">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.reset_ctx">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.reset_ctx">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.reset_ctx">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.reset_ctx">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.reset_ctx">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.reset_ctx">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.reset_ctx">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.reset_ctx">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.reset_ctx">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.reset_ctx">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.reset_ctx">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.reset_ctx">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.reset_ctx">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.reset_ctx">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.reset_ctx">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.reset_ctx">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.reset_ctx">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.reset_ctx">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.reset_ctx">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.reset_ctx">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.reset_ctx">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.reset_ctx">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.reset_ctx">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.reset_ctx">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.reset_ctx">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.reset_device">reset_device() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.reset_device">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.reset_device">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.reset_device">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.reset_device">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.reset_device">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.reset_device">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.reset_device">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.reset_device">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.reset_device">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.reset_device">(Concatenate method)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.reset_device">(Constant method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.reset_device">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.reset_device">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.reset_device">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.reset_device">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.reset_device">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.reset_device">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.reset_device">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.reset_device">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.reset_device">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.reset_device">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.reset_device">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.reset_device">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.reset_device">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.reset_device">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.reset_device">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.reset_device">(HybridBlock method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridBlock.reset_device">[1]</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.reset_device">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.reset_device">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.reset_device">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.reset_device">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.reset_device">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.reset_device">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.reset_device">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.reset_device">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.reset_device">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.reset_device">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.reset_device">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.reset_device">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.reset_device">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.reset_device">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.reset_device">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.reset_device">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.reset_device">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.reset_device">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.reset_device">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.reset_device">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.reset_device">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.reset_device">(Parameter method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.reset_device">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.reset_device">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.reset_device">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.reset_device">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.reset_device">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.reset_device">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.reset_device">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.reset_device">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.reset_device">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.reset_device">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.reset_device">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.reset_device">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.reset_device">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.reset_device">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.reset_device">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.reset_device">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.reset_device">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.reset_device">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.reset_device">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.reset_device">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.reset_device">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.reset_device">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.reset_device">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.reset_device">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.reset_device">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.reset_device">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.reset_np.html#mxnet.npx.reset_np">reset_np() (in module mxnet.npx)</a>
<ul>
<li><a href="api/util/index.html#mxnet.util.reset_np">(in module mxnet.util)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.BaseSparseNDArray.reshape">reshape() (BaseSparseNDArray method)</a>
<ul>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageDetIter.reshape">(ImageDetIter method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Reshape">Reshape() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.reshape">reshape() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Reshape">Reshape() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.reshape">reshape() (in module mxnet.ndarray.op)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.reshape.html#mxnet.np.reshape">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Reshape">Reshape() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.reshape">reshape() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Reshape">Reshape() (in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.reshape">reshape() (in module mxnet.symbol.op)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.reshape">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.reshape">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.reshape_like">reshape_like() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.reshape_like">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.reshape_like.html#mxnet.npx.reshape_like">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.reshape_like">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.reshape_like">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.reshape_like">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.reshape_like">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell">ResidualCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.resize">resize() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.resize.html#mxnet.np.resize">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.resize">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.resize_short">resize_short() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.ResizeAug">ResizeAug (class in mxnet.image)</a>
</li>
<li><a href="api/legacy/io/index.html#mxnet.io.ResizeIter">ResizeIter (class in mxnet.io)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet101_v1">resnet101_v1() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet101_v2">resnet101_v2() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet152_v1">resnet152_v1() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet152_v2">resnet152_v2() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet18_v1">resnet18_v1() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet18_v2">resnet18_v2() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet34_v1">resnet34_v1() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet34_v2">resnet34_v2() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet50_v1">resnet50_v1() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.resnet50_v2">resnet50_v2() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1">ResNetV1 (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2">ResNetV2 (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.resume">resume() (in module mxnet.profiler)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.retain">retain() (in module mxnet.ndarray.sparse)</a>
<ul>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.retain">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.RowSparseNDArray.retain">(RowSparseNDArray method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.reverse">reverse() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.reverse">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.reverse">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.reverse">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.rint">rint() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.rint">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.rint">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.rint.html#mxnet.np.rint">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.rint">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.rint">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.rint">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.rint">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.rint">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.RMSE">RMSE (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.RMSProp">RMSProp (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.rmsprop_update">rmsprop_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.rmsprop_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.rmsprop_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.rmsprop_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.rmspropalex_update">rmspropalex_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.rmspropalex_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.rmspropalex_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.rmspropalex_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNN">RNN (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.RNN">RNN() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.RNN">(in module mxnet.ndarray.op)</a>
</li>
</ul></li>
<li><a href="api/npx/generated/mxnet.npx.rnn.html#mxnet.npx.rnn">rnn() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.RNN">RNN() (in module mxnet.symbol)</a>
<ul>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.RNN">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell">RNNCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.RNNFused">RNNFused (class in mxnet.initializer)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.roi_pooling.html#mxnet.npx.roi_pooling">roi_pooling() (in module mxnet.npx)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.ROIAlign">ROIAlign() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.ROIAlign">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.ROIAlign">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.ROIAlign">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.ROIPooling">ROIPooling() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.ROIPooling">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.ROIPooling">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.ROIPooling">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.roll.html#mxnet.np.roll">roll() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.rollaxis.html#mxnet.np.rollaxis">rollaxis() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.rot90.html#mxnet.np.rot90">rot90() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.round">round() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.round">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.round">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.round">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.round">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.round">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.round">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.round">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.round_.html#mxnet.np.round_">round_() (in module mxnet.np)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.round_ste">round_ste() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.round_ste">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.round_ste">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.round_ste">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/arrays.ndarray.html#index-1">row-major</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.row_sparse_array">row_sparse_array() (in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.row_sparse_data">row_sparse_data() (Constant method)</a>
<ul>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.row_sparse_data">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.row_sparse_pull">row_sparse_pull() (KVStore method)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.RowSparseNDArray">RowSparseNDArray (class in mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.RROIAlign">RROIAlign() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.RROIAlign">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.RROIAlign">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.RROIAlign">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.rsqrt">rsqrt() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.rsqrt">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.rsqrt">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.rsqrt">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.rsqrt">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.rsqrt">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.rsqrt">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.rsqrt">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreServer.html#mxnet.kvstore.KVStoreServer.run">run() (KVStoreServer method)</a>, <a href="api/kvstore_server/index.html#mxnet.kvstore_server.KVStoreServer.run">[1]</a>
</li>
</ul></td>
</tr></table>
<h2 id="S">S</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/test_utils/index.html#mxnet.test_utils.same">same() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.same_array">same_array() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.same_symbol_structure">same_symbol_structure() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.Dataset.sample">sample() (Dataset method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_binomial">sample_binomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_binomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_binomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_binomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_categorical">sample_categorical() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_categorical">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_categorical">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_categorical">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_exponential">sample_exponential() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_exponential">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_exponential">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_exponential">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_gamma">sample_gamma() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_gamma">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_gamma">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_gamma">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_generalized_negative_binomial">sample_generalized_negative_binomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_generalized_negative_binomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_generalized_negative_binomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_generalized_negative_binomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_multinomial">sample_multinomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_multinomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_multinomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_multinomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_negative_binomial">sample_negative_binomial() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_negative_binomial">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_negative_binomial">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_negative_binomial">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_normal">sample_normal() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_normal">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_normal">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_normal">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_poisson">sample_poisson() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_poisson">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_poisson">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_poisson">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sample_uniform">sample_uniform() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sample_uniform">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sample_uniform">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sample_uniform">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.Sampler">Sampler (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.SaturationJitterAug">SaturationJitterAug (class in mxnet.image)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.save">save() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.save">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.save">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.save">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.save">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.save">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.save">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.save">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.save">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.save">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.save">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.save">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.save">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.save">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.save">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.save">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.save">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.save">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.save">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.save">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.save">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.save">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.save">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.save">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.save">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.save">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.save">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.save">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.save">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.save">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.save">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.save">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.save">(Identity method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.save">(in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/utils/index.html#mxnet.ndarray.utils.save">(in module mxnet.ndarray.utils)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.save.html#mxnet.npx.save">(in module mxnet.npx)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.save">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.save">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.save">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.save">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.save">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.save">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.save">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.save">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.save">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.save">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.save">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.save">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.save">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.save">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.save">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.save">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.save">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.save">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.save">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.save">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.save">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.save">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.save">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.save">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.save">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.save">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.save">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.save">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.save">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.save">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.save">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.save">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.save">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.save">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.save">(Swish method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.save">(Symbol method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.save">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.save">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.save">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.save">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.save">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.save">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.save_optimizer_states">save_optimizer_states() (BytePS method)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.save_optimizer_states">(Horovod method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.save_optimizer_states">(KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.save_optimizer_states">(KVStoreBase method)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.save_parameters">save_parameters() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.save_parameters">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.save_parameters">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.save_parameters">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.save_parameters">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.save_parameters">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.save_parameters">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.save_parameters">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.save_parameters">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.save_parameters">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.save_parameters">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.save_parameters">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.save_parameters">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.save_parameters">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.save_parameters">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.save_parameters">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.save_parameters">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.save_parameters">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.save_parameters">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.save_parameters">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.save_parameters">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.save_parameters">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.save_parameters">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.save_parameters">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.save_parameters">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.save_parameters">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.save_parameters">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.save_parameters">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.save_parameters">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.save_parameters">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.save_parameters">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.save_parameters">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.save_parameters">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.save_parameters">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.save_parameters">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.save_parameters">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.save_parameters">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.save_parameters">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.save_parameters">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.save_parameters">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.save_parameters">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.save_parameters">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.save_parameters">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.save_parameters">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.save_parameters">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.save_parameters">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.save_parameters">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.save_parameters">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.save_parameters">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.save_parameters">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.save_parameters">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.save_parameters">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.save_parameters">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.save_parameters">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.save_parameters">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.save_parameters">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.save_parameters">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.save_parameters">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.save_parameters">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.save_parameters">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.save_parameters">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.save_parameters">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.save_parameters">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.save_parameters">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.save_parameters">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.save_parameters">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.save_parameters">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.save_parameters">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.save_parameters">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.save_parameters">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.save_parameters">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.save_parameters">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.save_parameters">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.save_parameters">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/gluon/trainer.html#mxnet.gluon.Trainer.save_states">save_states() (Trainer method)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.scale_down">scale_down() (in module mxnet.image)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.scatter_nd">scatter_nd() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.scatter_nd">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.scatter_nd">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.scatter_nd">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.scope">scope() (in module mxnet.profiler)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss">SDMLLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/np/generated/mxnet.np.searchsorted.html#mxnet.np.searchsorted">searchsorted() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXIndexedRecordIO.seek">seek() (MXIndexedRecordIO method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU">SELU (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.sequence_mask.html#mxnet.npx.sequence_mask">sequence_mask() (in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SequenceLast">SequenceLast() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SequenceLast">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SequenceLast">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SequenceLast">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SequenceMask">SequenceMask() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SequenceMask">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SequenceMask">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SequenceMask">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SequenceReverse">SequenceReverse() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SequenceReverse">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SequenceReverse">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SequenceReverse">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Sequential">Sequential (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/image/index.html#mxnet.image.SequentialAug">SequentialAug (class in mxnet.image)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell">SequentialRNNCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.SequentialSampler">SequentialSampler (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/engine/index.html#mxnet.engine.set_bulk_size">set_bulk_size() (in module mxnet.engine)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.set_config">set_config() (in module mxnet.profiler)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.set_data">set_data() (Constant method)</a>
<ul>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.set_data">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.set_default_device">set_default_device() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.set_flush_denorms">set_flush_denorms() (in module mxnet.util)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.set_gradient_compression">set_gradient_compression() (KVStore method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.set_learning_rate">set_learning_rate() (Optimizer method)</a>
<ul>
<li><a href="api/gluon/trainer.html#mxnet.gluon.Trainer.set_learning_rate">(Trainer method)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.set_lr_mult">set_lr_mult() (Optimizer method)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.set_module">set_module() (in module mxnet.util)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.set_np.html#mxnet.npx.set_np">set_np() (in module mxnet.npx)</a>
<ul>
<li><a href="api/util/index.html#mxnet.util.set_np">(in module mxnet.util)</a>
</li>
</ul></li>
<li><a href="api/util/index.html#mxnet.util.set_np_default_dtype">set_np_default_dtype() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.set_np_shape">set_np_shape() (in module mxnet.util)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.set_optimizer">set_optimizer() (BytePS method)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.set_optimizer">(Horovod method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.set_optimizer">(KVStore method)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.set_optimizer">(KVStoreBase method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.set_printoptions.html#mxnet.np.set_printoptions">set_printoptions() (in module mxnet.np)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.set_recording">set_recording() (in module mxnet.autograd)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.set_state">set_state() (in module mxnet.profiler)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Updater.set_states">set_states() (Updater method)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.set_training">set_training() (in module mxnet.autograd)</a>
</li>
<li><a href="api/contrib/tensorrt/index.html#mxnet.contrib.tensorrt.set_use_fp16">set_use_fp16() (in module mxnet.contrib.tensorrt)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Counter.set_value">set_value() (Counter method)</a>
</li>
<li><a href="api/initializer/index.html#mxnet.initializer.Initializer.set_verbosity">set_verbosity() (Initializer method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.set_wd_mult">set_wd_mult() (Optimizer method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.setattr">setattr() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.setattr">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.setattr">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.setattr">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.setattr">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.setattr">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.setattr">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.setattr">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.setattr">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.setattr">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.setattr">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.setattr">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.setattr">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.setattr">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.setattr">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.setattr">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.setattr">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.setattr">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.setattr">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.setattr">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.setattr">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.setattr">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.setattr">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.setattr">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.setattr">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.setattr">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.setattr">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.setattr">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.setattr">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.setattr">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.setattr">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.setattr">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.setattr">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.setattr">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.setattr">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.setattr">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.setattr">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.setattr">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.setattr">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.setattr">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.setattr">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.setattr">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.setattr">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.setattr">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.setattr">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.setattr">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.setattr">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.setattr">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.setattr">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.setattr">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.setattr">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.setattr">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.setattr">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.setattr">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.setattr">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.setattr">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.setattr">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.setattr">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.setattr">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.setattr">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.setattr">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.setattr">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.setattr">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.setattr">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.setattr">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.setattr">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.setattr">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.setattr">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.setattr">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.setattr">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.setattr">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.setattr">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.setattr">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.setattr">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/util/index.html#mxnet.util.setenv">setenv() (in module mxnet.util)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.SGD">SGD (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sgd_mom_update">sgd_mom_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sgd_mom_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.sgd_mom_update">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sgd_mom_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sgd_mom_update">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.sgd_mom_update">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sgd_update">sgd_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sgd_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.sgd_update">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sgd_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sgd_update">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.sgd_update">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.SGLD">SGLD (class in mxnet.optimizer)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.shape">shape() (Constant property)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.shape">(NDArray property)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.shape">(Parameter property)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.shape_array">shape_array() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.shape_array">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.shape_array">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.shape_array">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.shape_array">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.shape_array">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.Dataset.shard">shard() (Dataset method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.share_parameters">share_parameters() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.share_parameters">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.share_parameters">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.share_parameters">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.share_parameters">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.share_parameters">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.share_parameters">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.share_parameters">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.share_parameters">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.share_parameters">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.share_parameters">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.share_parameters">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.share_parameters">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.share_parameters">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.share_parameters">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.share_parameters">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.share_parameters">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.share_parameters">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.share_parameters">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.share_parameters">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.share_parameters">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.share_parameters">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.share_parameters">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.share_parameters">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.share_parameters">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.share_parameters">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.share_parameters">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.share_parameters">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.share_parameters">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.share_parameters">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.share_parameters">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.share_parameters">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.share_parameters">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.share_parameters">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.share_parameters">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.share_parameters">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.share_parameters">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.share_parameters">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.share_parameters">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.share_parameters">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.share_parameters">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.share_parameters">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.share_parameters">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.share_parameters">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.share_parameters">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.share_parameters">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.share_parameters">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.share_parameters">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.share_parameters">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.share_parameters">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.share_parameters">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.share_parameters">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.share_parameters">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.share_parameters">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.share_parameters">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.share_parameters">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.share_parameters">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.share_parameters">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.share_parameters">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.share_parameters">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.share_parameters">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.share_parameters">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.share_parameters">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.share_parameters">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.share_parameters">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.share_parameters">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.share_parameters">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.share_parameters">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.share_parameters">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.share_parameters">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.share_parameters">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.share_parameters">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.share_parameters">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.share_parameters">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.shuffle">shuffle() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.shuffle">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.shuffle">(in module mxnet.ndarray.random)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.shuffle.html#mxnet.np.random.shuffle">(in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.shuffle">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.shuffle">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.shuffle">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.shuffle_csr_column_indices">shuffle_csr_column_indices() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sigmoid">sigmoid() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sigmoid">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.sigmoid">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.sigmoid.html#mxnet.npx.sigmoid">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sigmoid">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sigmoid">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.sigmoid">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.sigmoid">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.sigmoid">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBCELoss">SigmoidBCELoss (in module mxnet.gluon.loss)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss">SigmoidBinaryCrossEntropyLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sign">sign() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sign">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.sign">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.sign.html#mxnet.np.sign">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sign">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sign">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.sign">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.sign">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.sign">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.sign_ste">sign_ste() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.sign_ste">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.sign_ste">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.sign_ste">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.signbit.html#mxnet.np.signbit">signbit() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.signsgd_update">signsgd_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.signsgd_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.signsgd_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.signsgd_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Signum">Signum (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.signum_update">signum_update() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.signum_update">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.signum_update">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.signum_update">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU">SiLU (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.SimpleDataset">SimpleDataset (class in mxnet.gluon.data)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sin">sin() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sin">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.sin">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.sin.html#mxnet.np.sin">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sin">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sin">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.sin">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.sin">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.sin">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/arrays.ndarray.html#index-2">single-segment</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sinh">sinh() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sinh">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.sinh">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.sinh.html#mxnet.np.sinh">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sinh">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sinh">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.sinh">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.sinh">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.sinh">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.BaseSparseNDArray.size">size() (BaseSparseNDArray property)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.size">(NDArray property)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.size_array">size_array() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.size_array">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.size_array">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.size_array">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.size_array">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.size_array">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.sldwin_atten_context">sldwin_atten_context() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.sldwin_atten_context">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.sldwin_atten_context">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.sldwin_atten_context">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.sldwin_atten_mask_like">sldwin_atten_mask_like() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.sldwin_atten_mask_like">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.sldwin_atten_mask_like">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.sldwin_atten_mask_like">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.sldwin_atten_score">sldwin_atten_score() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.sldwin_atten_score">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.sldwin_atten_score">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.sldwin_atten_score">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.slice">slice() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.slice">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.slice">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.slice">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.slice">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.slice">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.slice">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.slice">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.slice_assign">slice_assign() (NDArray method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.slice_assign_scalar">slice_assign_scalar() (NDArray method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.slice_axis">slice_axis() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.slice_axis">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.slice_axis">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.slice_axis">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.slice_axis">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.slice_axis">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.slice_like">slice_like() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.slice_like">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.slice_like">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.slice_like">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.slice_like">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.slice_like">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SliceChannel">SliceChannel() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SliceChannel">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SliceChannel">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SliceChannel">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/arrays.indexing.html#index-0">slicing</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.slogdet">slogdet() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.linalg.slogdet.html#mxnet.np.linalg.slogdet">(in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.slogdet">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.smooth_l1">smooth_l1() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.smooth_l1">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.smooth_l1.html#mxnet.npx.smooth_l1">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.smooth_l1">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.smooth_l1">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.Softmax">Softmax() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.softmax">softmax() (in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.Softmax">Softmax() (in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.softmax">softmax() (in module mxnet.ndarray.op)</a>
<ul>
<li><a href="api/npx/generated/mxnet.npx.softmax.html#mxnet.npx.softmax">(in module mxnet.npx)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Softmax">Softmax() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.softmax">softmax() (in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.Softmax">Softmax() (in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.softmax">softmax() (in module mxnet.symbol.op)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.softmax">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.softmax">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.softmax_cross_entropy">softmax_cross_entropy() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.softmax_cross_entropy">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.softmax_cross_entropy">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.softmax_cross_entropy">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SoftmaxActivation">SoftmaxActivation() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SoftmaxActivation">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SoftmaxActivation">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SoftmaxActivation">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCELoss">SoftmaxCELoss (in module mxnet.gluon.loss)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss">SoftmaxCrossEntropyLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SoftmaxOutput">SoftmaxOutput() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SoftmaxOutput">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SoftmaxOutput">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SoftmaxOutput">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.softmin">softmin() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.softmin">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.softmin">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.softmin">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.softmin">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.softmin">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.softsign">softsign() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.softsign">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.softsign">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.softsign">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.linalg.solve.html#mxnet.np.linalg.solve">solve() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sort">sort() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sort">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.sort.html#mxnet.np.sort">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sort">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sort">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.sort">(NDArray method)</a>
</li>
<li><a href="api/np/generated/mxnet.np.ndarray.sort.html#mxnet.np.ndarray.sort">(ndarray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.sort">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.space_to_depth">space_to_depth() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.space_to_depth">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.space_to_depth">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.space_to_depth">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.space_to_depth">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.space_to_depth">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.spacing.html#mxnet.np.spacing">spacing() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SpatialTransformer">SpatialTransformer() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SpatialTransformer">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SpatialTransformer">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SpatialTransformer">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/callback/index.html#mxnet.callback.Speedometer">Speedometer (class in mxnet.callback)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.split">split() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.split">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.split.html#mxnet.np.split">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.split">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.split">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.split">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.split">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/utils/index.html#mxnet.gluon.utils.split_and_load">split_and_load() (in module mxnet.gluon.utils)</a>
</li>
<li><a href="api/gluon/utils/index.html#mxnet.gluon.utils.split_data">split_data() (in module mxnet.gluon.utils)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.split_v2">split_v2() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.split_v2">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.split_v2">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.split_v2">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sqrt">sqrt() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sqrt">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.sqrt">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.sqrt.html#mxnet.np.sqrt">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sqrt">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sqrt">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.sqrt">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.sqrt">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.sqrt">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.square">square() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.square">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.square">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.square.html#mxnet.np.square">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.square">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.square">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.square">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.square">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.square">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss">SquaredHingeLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.squeeze">squeeze() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.squeeze">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.squeeze.html#mxnet.np.squeeze">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.squeeze">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.squeeze">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.squeeze">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.squeeze">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet">SqueezeNet (class in mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.squeezenet1_0">squeezenet1_0() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.squeezenet1_1">squeezenet1_1() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.stack">stack() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.stack">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.stack.html#mxnet.np.stack">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.stack">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.stack">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.Event.start">start() (Event method)</a>
<ul>
<li><a href="api/profiler/index.html#mxnet.profiler.Frame.start">(Frame method)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Task.start">(Task method)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.state_info">state_info() (BidirectionalCell method)</a>
<ul>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.state_info">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.state_info">(GRUCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.state_info">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.state_info">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.state_info">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.state_info">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.state_info">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.state_info">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.state_info">(RNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.state_info">(SequentialRNNCell method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.std.html#mxnet.np.std">std() (in module mxnet.np)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaBelief.step">step() (AdaBelief method)</a>
<ul>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaDelta.step">(AdaDelta method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.AdaGrad.step">(AdaGrad method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Adam.step">(Adam method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Adamax.step">(Adamax method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.DCASGD.step">(DCASGD method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.FTML.step">(FTML method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Ftrl.step">(Ftrl method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LAMB.step">(LAMB method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LANS.step">(LANS method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LARS.step">(LARS method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Nadam.step">(Nadam method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.NAG.step">(NAG method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.step">(Optimizer method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.RMSProp.step">(RMSProp method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.SGD.step">(SGD method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.SGLD.step">(SGLD method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Signum.step">(Signum method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Test.step">(Test method)</a>
</li>
<li><a href="api/gluon/trainer.html#mxnet.gluon.Trainer.step">(Trainer method)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.Event.stop">stop() (Event method)</a>
<ul>
<li><a href="api/profiler/index.html#mxnet.profiler.Frame.stop">(Frame method)</a>
</li>
<li><a href="api/profiler/index.html#mxnet.profiler.Task.stop">(Task method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.stop_gradient">stop_gradient() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.stop_gradient">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.stop_gradient">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.stop_gradient">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.stop_gradient">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.stop_gradient">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.StoppingHandler">StoppingHandler (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-1">stride</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.stype">stype() (NDArray property)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.subtract">subtract() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.subtract">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.subtract.html#mxnet.np.subtract">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sum">sum() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sum">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.sum">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.sum.html#mxnet.np.sum">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sum">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sum">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.sum">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.sum">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.sum">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.sum_axis">sum_axis() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.sum_axis">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.sum_axis">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.sum_axis">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PCC.sum_metric">sum_metric() (PCC property)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.sumlogdiag">sumlogdiag() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.sumlogdiag">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.summary">summary() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.summary">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.summary">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.summary">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.summary">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.summary">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.summary">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.summary">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.summary">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.summary">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.summary">(Concatenate method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.summary">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.summary">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.summary">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.summary">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.summary">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.summary">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.summary">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.summary">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.summary">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.summary">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.summary">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.summary">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.summary">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.summary">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.summary">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.summary">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.summary">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.summary">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.summary">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.summary">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.summary">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.summary">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.summary">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.summary">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.summary">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.summary">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.summary">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.summary">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.summary">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.summary">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.summary">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.summary">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.summary">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.summary">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.summary">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.summary">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.summary">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.summary">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.summary">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.summary">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.summary">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.summary">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.summary">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.summary">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.summary">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.summary">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.summary">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.summary">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.summary">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.summary">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.summary">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.summary">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.summary">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.summary">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.summary">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.summary">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.summary">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.summary">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.summary">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.summary">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.summary">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.summary">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.summary">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.linalg.svd.html#mxnet.np.linalg.svd">svd() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SVMOutput">SVMOutput() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SVMOutput">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SVMOutput">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SVMOutput">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.swapaxes">swapaxes() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.swapaxes">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.swapaxes.html#mxnet.np.swapaxes">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.swapaxes">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.swapaxes">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.swapaxes">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.swapaxes">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.SwapAxis">SwapAxis() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.SwapAxis">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.SwapAxis">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.SwapAxis">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish">Swish (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.syevd">syevd() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.syevd">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol">Symbol (class in mxnet.symbol)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock">SymbolBlock (class in mxnet.gluon)</a>
<ul>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SymbolBlock">(class in mxnet.gluon.nn)</a>
</li>
</ul></li>
<li><a href="api/legacy/image/index.html#mxnet.image.ImageDetIter.sync_label_shape">sync_label_shape() (ImageDetIter method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Updater.sync_state_context">sync_state_context() (Updater method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm">SyncBatchNorm (class in mxnet.gluon.nn)</a>
</li>
<li><a href="api/contrib/ndarray/index.html#mxnet.contrib.ndarray.SyncBatchNorm">SyncBatchNorm() (in module mxnet.contrib.ndarray)</a>
<ul>
<li><a href="api/contrib/symbol/index.html#mxnet.contrib.symbol.SyncBatchNorm">(in module mxnet.contrib.symbol)</a>
</li>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.SyncBatchNorm">(in module mxnet.ndarray.contrib)</a>
</li>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.SyncBatchNorm">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/gluon/data/vision/datasets/index.html#mxnet.gluon.data.vision.datasets.ImageFolderDataset.synsets">synsets (ImageFolderDataset attribute)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.syrk">syrk() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.syrk">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="T">T</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.T">T() (NDArray property)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.ndarray.T.html#mxnet.np.ndarray.T">(ndarray property)</a>
</li>
</ul></li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.Dataset.take">take() (Dataset method)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.take">(in module mxnet.ndarray)</a>
</li>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.take">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.take">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.take">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.take">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.take">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.tan">tan() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.tan">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.tan">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.tan.html#mxnet.np.tan">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.tan">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.tan">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.tan">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.tan">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.tan">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.tanh">tanh() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.tanh">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.tanh">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.tanh.html#mxnet.np.tanh">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.tanh">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.tanh">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.tanh">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.tanh">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.tanh">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/profiler/index.html#mxnet.profiler.Task">Task (class in mxnet.profiler)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXIndexedRecordIO.tell">tell() (MXIndexedRecordIO method)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.TemporaryDirectory">TemporaryDirectory() (in module mxnet.util)</a>
</li>
<li><a href="api/np/generated/mxnet.np.tensordot.html#mxnet.np.tensordot">tensordot() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.tensorinv.html#mxnet.np.linalg.tensorinv">tensorinv() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/np/generated/mxnet.np.linalg.tensorsolve.html#mxnet.np.linalg.tensorsolve">tensorsolve() (in module mxnet.np.linalg)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Test">Test (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.tile">tile() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.tile">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.tile.html#mxnet.np.tile">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.tile">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.tile">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.tile">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.tile">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.to_dlpack_for_read">to_dlpack_for_read() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.to_dlpack_for_read">(NDArray method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.to_dlpack_for_write">to_dlpack_for_write() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.to_dlpack_for_write">(NDArray method)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/image/index.html#mxnet.ndarray.image.to_tensor">to_tensor() (in module mxnet.ndarray.image)</a>
<ul>
<li><a href="api/legacy/symbol/image/index.html#mxnet.symbol.image.to_tensor">(in module mxnet.symbol.image)</a>
</li>
</ul></li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.tojson">tojson() (Symbol method)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/np/generated/mxnet.np.ndarray.tolist.html#mxnet.np.ndarray.tolist">tolist() (ndarray method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.topk">topk() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.topk">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/npx/generated/mxnet.npx.topk.html#mxnet.npx.topk">(in module mxnet.npx)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.topk">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.topk">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.topk">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.topk">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.TopKAccuracy">TopKAccuracy (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Torch">Torch (class in mxnet.gluon.metric)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.CSRNDArray.tostype">tostype() (CSRNDArray method)</a>
<ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.tostype">(NDArray method)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.RowSparseNDArray.tostype">(RowSparseNDArray method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.trace.html#mxnet.np.trace">trace() (in module mxnet.np)</a>
</li>
<li><a href="api/autograd/index.html#mxnet.autograd.train_mode">train_mode() (in module mxnet.autograd)</a>
</li>
<li><a href="api/gluon/trainer.html#mxnet.gluon.Trainer">Trainer (class in mxnet.gluon)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.Dataset.transform">transform() (Dataset method)</a>
</li>
<li><a href="api/gluon/data/index.html#mxnet.gluon.data.Dataset.transform_first">transform_first() (Dataset method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.transpose">transpose() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.transpose">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/np/generated/mxnet.np.transpose.html#mxnet.np.transpose">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.transpose">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.transpose">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.transpose">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.transpose">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.trapz.html#mxnet.np.trapz">trapz() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.tril.html#mxnet.np.tril">tril() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.trim_zeros.html#mxnet.np.trim_zeros">trim_zeros() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss">TripletLoss (class in mxnet.gluon.loss)</a>
</li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.trmm">trmm() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.trmm">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/linalg/index.html#mxnet.ndarray.linalg.trsm">trsm() (in module mxnet.ndarray.linalg)</a>
<ul>
<li><a href="api/legacy/symbol/linalg/index.html#mxnet.symbol.linalg.trsm">(in module mxnet.symbol.linalg)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.true_divide">true_divide() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.true_divide.html#mxnet.np.true_divide">(in module mxnet.np)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.trunc">trunc() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.trunc">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.trunc">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.trunc.html#mxnet.np.trunc">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.trunc">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.trunc">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.trunc">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.trunc">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.trunc">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/kvstore/generated/mxnet.kvstore.BytePS.html#mxnet.kvstore.BytePS.type">type() (BytePS property)</a>
<ul>
<li><a href="api/kvstore/generated/mxnet.kvstore.Horovod.html#mxnet.kvstore.Horovod.type">(Horovod property)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStore.html#mxnet.kvstore.KVStore.type">(KVStore property)</a>
</li>
<li><a href="api/kvstore/generated/mxnet.kvstore.KVStoreBase.html#mxnet.kvstore.KVStoreBase.type">(KVStoreBase property)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="U">U</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/initializer/index.html#mxnet.initializer.Uniform">Uniform (class in mxnet.initializer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.uniform">uniform() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.uniform">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.uniform">(in module mxnet.ndarray.random)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.uniform.html#mxnet.np.random.uniform">(in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.uniform">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.uniform">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.uniform">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/random/index.html#mxnet.ndarray.random.uniform_like">uniform_like() (in module mxnet.ndarray.random)</a>
<ul>
<li><a href="api/legacy/symbol/random/index.html#mxnet.symbol.random.uniform_like">(in module mxnet.symbol.random)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.unique.html#mxnet.np.unique">unique() (in module mxnet.np)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.unpack">unpack() (in module mxnet.recordio)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.unpack_img">unpack_img() (in module mxnet.recordio)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.unravel_index">unravel_index() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.unravel_index">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.unravel_index">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.unravel_index">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.unroll">unroll() (BidirectionalCell method)</a>
<ul>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.unroll">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.unroll">(GRUCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.unroll">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.unroll">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.unroll">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.unroll">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.unroll">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.unroll">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.unroll">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.unroll">(RNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.unroll">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.unroll">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.unroll">(ZoneoutCell method)</a>
</li>
</ul></li>
<li><a href="api/np/generated/mxnet.np.unwrap.html#mxnet.np.unwrap">unwrap() (in module mxnet.np)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Accuracy.update">update() (Accuracy method)</a>
<ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.BinaryAccuracy.update">(BinaryAccuracy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CompositeEvalMetric.update">(CompositeEvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CrossEntropy.update">(CrossEntropy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CustomMetric.update">(CustomMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.EvalMetric.update">(EvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.F1.update">(F1 method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Fbeta.update">(Fbeta method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Loss.update">(Loss method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MAE.update">(MAE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MCC.update">(MCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanCosineSimilarity.update">(MeanCosineSimilarity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanPairwiseDistance.update">(MeanPairwiseDistance method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MSE.update">(MSE method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.update">(Optimizer method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PCC.update">(PCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PearsonCorrelation.update">(PearsonCorrelation method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Perplexity.update">(Perplexity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.RMSE.update">(RMSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.TopKAccuracy.update">(TopKAccuracy method)</a>
</li>
<li><a href="api/gluon/trainer.html#mxnet.gluon.Trainer.update">(Trainer method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Accuracy.update_dict">update_dict() (Accuracy method)</a>
<ul>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.BinaryAccuracy.update_dict">(BinaryAccuracy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CompositeEvalMetric.update_dict">(CompositeEvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CrossEntropy.update_dict">(CrossEntropy method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.CustomMetric.update_dict">(CustomMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.EvalMetric.update_dict">(EvalMetric method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.F1.update_dict">(F1 method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Fbeta.update_dict">(Fbeta method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Loss.update_dict">(Loss method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MAE.update_dict">(MAE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MCC.update_dict">(MCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanCosineSimilarity.update_dict">(MeanCosineSimilarity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MeanPairwiseDistance.update_dict">(MeanPairwiseDistance method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.MSE.update_dict">(MSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PCC.update_dict">(PCC method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.PearsonCorrelation.update_dict">(PearsonCorrelation method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.Perplexity.update_dict">(Perplexity method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.RMSE.update_dict">(RMSE method)</a>
</li>
<li><a href="api/gluon/metric/index.html#mxnet.gluon.metric.TopKAccuracy.update_dict">(TopKAccuracy method)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LAMB.update_multi_precision">update_multi_precision() (LAMB method)</a>
<ul>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LANS.update_multi_precision">(LANS method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.LARS.update_multi_precision">(LARS method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.NAG.update_multi_precision">(NAG method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Optimizer.update_multi_precision">(Optimizer method)</a>
</li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.SGD.update_multi_precision">(SGD method)</a>
</li>
</ul></li>
<li><a href="api/optimizer/index.html#mxnet.optimizer.Updater">Updater (class in mxnet.optimizer)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.UpSampling">UpSampling() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.UpSampling">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.UpSampling">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.UpSampling">(in module mxnet.symbol.op)</a>
</li>
</ul></li>
<li><a href="api/util/index.html#mxnet.util.use_np">use_np() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.use_np_array">use_np_array() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.use_np_default_dtype">use_np_default_dtype() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.use_np_shape">use_np_shape() (in module mxnet.util)</a>
</li>
</ul></td>
</tr></table>
<h2 id="V">V</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/contrib/index.html#mxnet.gluon.contrib.estimator.ValidationHandler">ValidationHandler (class in mxnet.gluon.contrib.estimator)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.var">var() (Constant method)</a>
<ul>
<li><a href="api/np/generated/mxnet.np.var.html#mxnet.np.var">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.var">(in module mxnet.symbol)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.var">(Parameter method)</a>
</li>
</ul></li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.var_check">var_check() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Variable">Variable() (in module mxnet.symbol)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell">VariationalDropoutCell (class in mxnet.gluon.rnn)</a>
</li>
<li><a href="api/np/generated/mxnet.np.vdot.html#mxnet.np.vdot">vdot() (in module mxnet.np)</a>
</li>
<li><a href="api/test_utils/index.html#mxnet.test_utils.verify_generator">verify_generator() (in module mxnet.test_utils)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG">VGG (class in mxnet.gluon.model_zoo.vision)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.vgg11">vgg11() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.vgg11_bn">vgg11_bn() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.vgg13">vgg13() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.vgg13_bn">vgg13_bn() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.vgg16">vgg16() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.vgg16_bn">vgg16_bn() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.vgg19">vgg19() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.vgg19_bn">vgg19_bn() (in module mxnet.gluon.model_zoo.vision)</a>
</li>
<li><a href="api/np/arrays.ndarray.html#index-0">view</a>
</li>
<li><a href="api/np/generated/mxnet.np.vsplit.html#mxnet.np.vsplit">vsplit() (in module mxnet.np)</a>
</li>
<li><a href="api/np/generated/mxnet.np.vstack.html#mxnet.np.vstack">vstack() (in module mxnet.np)</a>
</li>
</ul></td>
</tr></table>
<h2 id="W">W</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.wait_to_read">wait_to_read() (NDArray method)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.waitall">waitall() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/npx/generated/mxnet.npx.waitall.html#mxnet.npx.waitall">(in module mxnet.npx)</a>
</li>
</ul></li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.wd_mult">wd_mult (Parameter attribute)</a>
</li>
<li><a href="api/np/random/generated/mxnet.np.random.weibull.html#mxnet.np.random.weibull">weibull() (in module mxnet.np.random)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.where">where() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.where">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.where">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.where.html#mxnet.np.where">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.where">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.where">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.where">(in module mxnet.symbol.sparse)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/contrib/index.html#mxnet.ndarray.contrib.while_loop">while_loop() (in module mxnet.ndarray.contrib)</a>
<ul>
<li><a href="api/legacy/symbol/contrib/index.html#mxnet.symbol.contrib.while_loop">(in module mxnet.symbol.contrib)</a>
</li>
</ul></li>
<li><a href="api/util/index.html#mxnet.util.wrap_ctx_to_device_func">wrap_ctx_to_device_func() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.wrap_data_api_linalg_func">wrap_data_api_linalg_func() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.wrap_data_api_statical_func">wrap_data_api_statical_func() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.wrap_np_binary_func">wrap_np_binary_func() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.wrap_np_unary_func">wrap_np_unary_func() (in module mxnet.util)</a>
</li>
<li><a href="api/util/index.html#mxnet.util.wrap_sort_functions">wrap_sort_functions() (in module mxnet.util)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXRecordIO.write">write() (MXRecordIO method)</a>
</li>
<li><a href="api/legacy/recordio/index.html#mxnet.recordio.MXIndexedRecordIO.write_idx">write_idx() (MXIndexedRecordIO method)</a>
</li>
</ul></td>
</tr></table>
<h2 id="X">X</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/initializer/index.html#mxnet.initializer.Xavier">Xavier (class in mxnet.initializer)</a>
</li>
</ul></td>
</tr></table>
<h2 id="Z">Z</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/initializer/index.html#mxnet.initializer.Zero">Zero (class in mxnet.initializer)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Activation.zero_grad">zero_grad() (Activation method)</a>
<ul>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.AlexNet.zero_grad">(AlexNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV1.zero_grad">(BasicBlockV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BasicBlockV2.zero_grad">(BasicBlockV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.BidirectionalCell.zero_grad">(BidirectionalCell method)</a>
</li>
<li><a href="api/gluon/block.html#mxnet.gluon.Block.zero_grad">(Block method)</a>, <a href="api/gluon/nn/index.html#mxnet.gluon.nn.Block.zero_grad">[1]</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV1.zero_grad">(BottleneckV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.BottleneckV2.zero_grad">(BottleneckV2 method)</a>
</li>
<li><a href="api/gluon/data/vision/transforms/index.html#mxnet.gluon.data.vision.transforms.Cast.zero_grad">(Cast method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Concatenate.zero_grad">(Concatenate method)</a>
</li>
<li><a href="api/gluon/constant.html#mxnet.gluon.Constant.zero_grad">(Constant method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CosineEmbeddingLoss.zero_grad">(CosineEmbeddingLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.CTCLoss.zero_grad">(CTCLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.DeformableConvolution.zero_grad">(DeformableConvolution method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dense.zero_grad">(Dense method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.DenseNet.zero_grad">(DenseNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Dropout.zero_grad">(Dropout method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.DropoutCell.zero_grad">(DropoutCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ELU.zero_grad">(ELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Embedding.zero_grad">(Embedding method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Flatten.zero_grad">(Flatten method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GELU.zero_grad">(GELU method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.GroupNorm.zero_grad">(GroupNorm method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.GRUCell.zero_grad">(GRUCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HingeLoss.zero_grad">(HingeLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.HuberLoss.zero_grad">(HuberLoss method)</a>
</li>
<li><a href="api/gluon/hybrid_block.html#mxnet.gluon.HybridBlock.zero_grad">(HybridBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridConcatenate.zero_grad">(HybridConcatenate method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridLambda.zero_grad">(HybridLambda method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridRecurrentCell.zero_grad">(HybridRecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.HybridSequential.zero_grad">(HybridSequential method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.HybridSequentialRNNCell.zero_grad">(HybridSequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Identity.zero_grad">(Identity method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.Inception3.zero_grad">(Inception3 method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.InstanceNorm.zero_grad">(InstanceNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.KLDivLoss.zero_grad">(KLDivLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L1Loss.zero_grad">(L1Loss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.L2Loss.zero_grad">(L2Loss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LayerNorm.zero_grad">(LayerNorm method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.LeakyReLU.zero_grad">(LeakyReLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.LogisticLoss.zero_grad">(LogisticLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.Loss.zero_grad">(Loss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMCell.zero_grad">(LSTMCell method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.LSTMPCell.zero_grad">(LSTMPCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNet.zero_grad">(MobileNet method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.MobileNetV2.zero_grad">(MobileNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ModifierCell.zero_grad">(ModifierCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ModulatedDeformableConvolution.zero_grad">(ModulatedDeformableConvolution method)</a>
</li>
<li><a href="api/gluon/parameter.html#mxnet.gluon.Parameter.zero_grad">(Parameter method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle1D.zero_grad">(PixelShuffle1D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle2D.zero_grad">(PixelShuffle2D method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PixelShuffle3D.zero_grad">(PixelShuffle3D method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.PoissonNLLLoss.zero_grad">(PoissonNLLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.PReLU.zero_grad">(PReLU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RecurrentCell.zero_grad">(RecurrentCell method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.ReflectionPad2D.zero_grad">(ReflectionPad2D method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ResidualCell.zero_grad">(ResidualCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV1.zero_grad">(ResNetV1 method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.ResNetV2.zero_grad">(ResNetV2 method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.RNNCell.zero_grad">(RNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SDMLLoss.zero_grad">(SDMLLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SELU.zero_grad">(SELU method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.SequentialRNNCell.zero_grad">(SequentialRNNCell method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss.zero_grad">(SigmoidBinaryCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SiLU.zero_grad">(SiLU method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SoftmaxCrossEntropyLoss.zero_grad">(SoftmaxCrossEntropyLoss method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.SquaredHingeLoss.zero_grad">(SquaredHingeLoss method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.SqueezeNet.zero_grad">(SqueezeNet method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.Swish.zero_grad">(Swish method)</a>
</li>
<li><a href="api/gluon/symbol_block.html#mxnet.gluon.SymbolBlock.zero_grad">(SymbolBlock method)</a>
</li>
<li><a href="api/gluon/nn/index.html#mxnet.gluon.nn.SyncBatchNorm.zero_grad">(SyncBatchNorm method)</a>
</li>
<li><a href="api/gluon/loss/index.html#mxnet.gluon.loss.TripletLoss.zero_grad">(TripletLoss method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.VariationalDropoutCell.zero_grad">(VariationalDropoutCell method)</a>
</li>
<li><a href="api/gluon/model_zoo/index.html#mxnet.gluon.model_zoo.vision.VGG.zero_grad">(VGG method)</a>
</li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell.zero_grad">(ZoneoutCell method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.zeros">zeros() (in module mxnet.ndarray)</a>, <a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.zeros">[1]</a>
<ul>
<li><a href="api/legacy/ndarray/utils/index.html#mxnet.ndarray.utils.zeros">(in module mxnet.ndarray.utils)</a>
</li>
<li><a href="api/np/generated/mxnet.np.zeros.html#mxnet.np.zeros">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.zeros">(in module mxnet.symbol)</a>
</li>
</ul></li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.zeros_like">zeros_like() (in module mxnet.ndarray)</a>
<ul>
<li><a href="api/legacy/ndarray/op/index.html#mxnet.ndarray.op.zeros_like">(in module mxnet.ndarray.op)</a>
</li>
<li><a href="api/legacy/ndarray/sparse/index.html#mxnet.ndarray.sparse.zeros_like">(in module mxnet.ndarray.sparse)</a>
</li>
<li><a href="api/np/generated/mxnet.np.zeros_like.html#mxnet.np.zeros_like">(in module mxnet.np)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.zeros_like">(in module mxnet.symbol)</a>
</li>
<li><a href="api/legacy/symbol/op/index.html#mxnet.symbol.op.zeros_like">(in module mxnet.symbol.op)</a>
</li>
<li><a href="api/legacy/symbol/sparse/index.html#mxnet.symbol.sparse.zeros_like">(in module mxnet.symbol.sparse)</a>
</li>
<li><a href="api/legacy/ndarray/ndarray.html#mxnet.ndarray.NDArray.zeros_like">(NDArray method)</a>
</li>
<li><a href="api/legacy/symbol/symbol.html#mxnet.symbol.Symbol.zeros_like">(Symbol method)</a>
</li>
</ul></li>
<li><a href="api/gluon/rnn/index.html#mxnet.gluon.rnn.ZoneoutCell">ZoneoutCell (class in mxnet.gluon.rnn)</a>
</li>
</ul></td>
</tr></table>
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<p>Apache MXNet is an effort undergoing incubation at <a href="http://www.apache.org/">The Apache Software Foundation</a> (ASF), <span style="font-weight:bold">sponsored by the <i>Apache Incubator</i></span>. Incubation is required
of all newly accepted projects until a further review indicates that the infrastructure,
communications, and decision making process have stabilized in a manner consistent with other
successful ASF projects. While incubation status is not necessarily a reflection of the completeness
or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.
</p><p>"Copyright © 2017-2018, The Apache Software Foundation Apache MXNet, MXNet, Apache, the Apache
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