| #singa-incubating-1.0.0 Release Notes |
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| SINGA is a general distributed deep learning platform for training big deep |
| learning models over large datasets. It is designed with an intuitive |
| programming model based on the layer abstraction. SINGA supports a wide variety |
| of popular deep learning models. |
| |
| This release includes following features: |
| |
| * Core abstractions including Tensor and Device |
| * [SINGA-207] Update Tensor functions for matrices |
| * [SINGA-205] Enable slice and concatenate operations for Tensor objects |
| * [SINGA-197] Add CNMem as a submodule in lib/ |
| * [SINGA-196] Rename class Blob to Block |
| * [SINGA-194] Add a Platform singleton |
| * [SINGA-175] Add memory management APIs and implement a subclass using CNMeM |
| * [SINGA-173] OpenCL Implementation |
| * [SINGA-171] Create CppDevice and CudaDevice |
| * [SINGA-168] Implement Cpp Math functions APIs |
| * [SINGA-162] Overview of features for V1.x |
| * [SINGA-165] Add cross-platform timer API to singa |
| * [SINGA-167] Add Tensor Math function APIs |
| * [SINGA-166] light built-in logging for making glog optional |
| * [SINGA-164] Add the base Tensor class |
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| * IO components for file read/write, network and data pre-processing |
| * [SINGA-233] New communication interface |
| * [SINGA-215] Implement Image Transformation for Image Pre-processing |
| * [SINGA-214] Add LMDBReader and LMDBWriter for LMDB |
| * [SINGA-213] Implement Encoder and Decoder for CSV |
| * [SINGA-211] Add TextFileReader and TextFileWriter for CSV files |
| * [SINGA-210] Enable checkpoint and resume for v1.0 |
| * [SINGA-208] Add DataIter base class and a simple implementation |
| * [SINGA-203] Add OpenCV detection for cmake compilation |
| * [SINGA-202] Add reader and writer for binary file |
| * [SINGA-200] Implement Encoder and Decoder for data pre-processing |
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| * Module components including layer classes, training algorithms and Python binding |
| * [SINGA-235] Unify the engines for cudnn and singa layers |
| * [SINGA-230] OpenCL Convolution layer and Pooling layer |
| * [SINGA-222] Fixed bugs in IO |
| * [SINGA-218] Implementation for RNN CUDNN version |
| * [SINGA-204] Support the training of feed-forward neural nets |
| * [SINGA-199] Implement Python classes for SGD optimizers |
| * [SINGA-198] Change Layer::Setup API to include input Tensor shapes |
| * [SINGA-193] Add Python layers |
| * [SINGA-192] Implement optimization algorithms for Singa v1 (nesterove, adagrad, rmsprop) |
| * [SINGA-191] Add "autotune" for CudnnConvolution Layer |
| * [SINGA-190] Add prelu layer and flatten layer |
| * [SINGA-189] Generate python outputs of proto files |
| * [SINGA-188] Add Dense layer |
| * [SINGA-187] Add popular parameter initialization methods |
| * [SINGA-186] Create Python Tensor class |
| * [SINGA-184] Add Cross Entropy loss computation |
| * [SINGA-183] Add the base classes for optimizer, constraint and regularizer |
| * [SINGA-180] Add Activation layer and Softmax layer |
| * [SINGA-178] Add Convolution layer and Pooling layer |
| * [SINGA-176] Add loss and metric base classes |
| * [SINGA-174] Add Batch Normalization layer and Local Response Nomalization layer. |
| * [SINGA-170] Add Dropout layer and CudnnDropout layer. |
| * [SINGA-169] Add base Layer class for V1.0 |
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| * Examples |
| * [SINGA-232] Alexnet on Imagenet |
| * [SINGA-231] Batchnormlized VGG model for cifar-10 |
| * [SINGA-228] Add Cpp Version of Convolution and Pooling layer |
| * [SINGA-227] Add Split and Merge Layer and add ResNet Implementation |
| |
| * Documentation |
| * [SINGA-239] Transfer documentation files of v0.3.0 to github |
| * [SINGA-238] RBM on mnist |
| * [SINGA-225] Documentation for installation and Cifar10 example |
| * [SINGA-223] Use Sphinx to create the website |
| |
| * Tools for compilation and some utility code |
| * [SINGA-229] Complete install targets |
| * [SINGA-221] Support for Travis-CI |
| * [SINGA-217] build python package with setup.py |
| * [SINGA-216] add jenkins for CI support |
| * [SINGA-212] Disable the compilation of libcnmem if USE_CUDA is OFF |
| * [SINGA-195] Channel for sending training statistics |
| * [SINGA-185] Add CBLAS and GLOG detection for singav1 |
| * [SINGA-181] Add NVCC supporting for .cu files |
| * [SINGA-177] Add fully cmake supporting for the compilation of singa_v1 |
| * [SINGA-172] Add CMake supporting for Cuda and Cudnn libs |
