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From wang...@apache.org
Subject incubator-singa git commit: add release note for v1
Date Thu, 15 Sep 2016 14:11:34 GMT
Repository: incubator-singa
Updated Branches:
  refs/heads/master bc699f4e4 -> 392a9c394


add release note for v1


Project: http://git-wip-us.apache.org/repos/asf/incubator-singa/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-singa/commit/392a9c39
Tree: http://git-wip-us.apache.org/repos/asf/incubator-singa/tree/392a9c39
Diff: http://git-wip-us.apache.org/repos/asf/incubator-singa/diff/392a9c39

Branch: refs/heads/master
Commit: 392a9c394f20d7b6aec94456de75e10f7a0dbee4
Parents: bc699f4
Author: Wei Wang <wangwei@comp.nus.edu.sg>
Authored: Thu Sep 15 22:11:20 2016 +0800
Committer: Wei Wang <wangwei@comp.nus.edu.sg>
Committed: Thu Sep 15 22:11:20 2016 +0800

----------------------------------------------------------------------
 doc/en/releases/RELEASE_NOTES_1.0.0.md | 91 +++++++++++++++++++++++++++++
 1 file changed, 91 insertions(+)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-singa/blob/392a9c39/doc/en/releases/RELEASE_NOTES_1.0.0.md
----------------------------------------------------------------------
diff --git a/doc/en/releases/RELEASE_NOTES_1.0.0.md b/doc/en/releases/RELEASE_NOTES_1.0.0.md
new file mode 100644
index 0000000..32a839f
--- /dev/null
+++ b/doc/en/releases/RELEASE_NOTES_1.0.0.md
@@ -0,0 +1,91 @@
+#singa-incubating-1.0.0 Release Notes
+
+---
+
+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
+
+
+  * 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
+
+
+
+  * 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
+
+
+  * 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


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