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| # singa-incubating-2.0.0 Release Notes |
| |
| --- |
| |
| SINGA is a general distributed deep learning platform for training big deep |
| learning models over large datasets. |
| |
| This release includes following features: |
| |
| * Core components |
| * [SINGA-434] Support tensor broadcasting |
| * [SINGA-370] Improvement to tensor reshape and various misc. changes related to SINGA-341 and 351 |
| |
| * Model components |
| * [SINGA-333] Add support for Open Neural Network Exchange (ONNX) format |
| * [SINGA-385] Add new python module for optimizers |
| * [SINGA-394] Improve the CPP operations via Intel MKL DNN lib |
| * [SINGA-425] Add 3 operators , Abs(), Exp() and leakyrelu(), for Autograd |
| * [SINGA-410] Add two function, set_params() and get_params(), for Autograd Layer class |
| * [SINGA-383] Add Separable Convolution for autograd |
| * [SINGA-388] Develop some RNN layers by calling tiny operations like matmul, addbias. |
| * [SINGA-382] Implement concat operation for autograd |
| * [SINGA-378] Implement maxpooling operation and its related functions for autograd |
| * [SINGA-379] Implement batchnorm operation and its related functions for autograd |
| |
| * Utility functions and CI |
| * [SINGA-432] Update depdent lib versions in conda-build config |
| * [SINGA-429] Update docker images for latest cuda and cudnn |
| * [SINGA-428] Move Docker images under Apache user name |
| |
| * Documentation and usability |
| * [SINGA-395] Add documentation for autograd APIs |
| * [SINGA-344] Add a GAN example |
| * [SINGA-390] Update installation.md |
| * [SINGA-384] Implement ResNet using autograd API |
| * [SINGA-352] Complete SINGA documentation in Chinese version |
| |
| |
| * Bugs fixed |
| * [SINGA-431] Unit Test failed - Tensor Transpose |
| * [SINGA-422] ModuleNotFoundError: No module named "_singa_wrap" |
| * [SINGA-418] Unsupportive type 'long' in python3. |
| * [SINGA-409] Basic `singa-cpu` import throws error |
| * [SINGA-408] Unsupportive function definition in python3 |
| * [SINGA-380] Fix bugs from Reshape |