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9935d7d6
编写于
11月 28, 2016
作者:
Y
Yu Yang
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# Release v0.9.0
## New Features:
*
Add some layers to Paddle
*
bilinear interpolation layer.
*
spatial pyramid-pool layer.
*
de-convolution layer.
*
maxout layer.
*
Support rectangle padding, stride, window and input for Pooling Operation.
*
Add —job=time in trainer, which can be used to print time info without compiler option -WITH_TIMER=ON.
*
Support Mac OS X Sierra by source code.
*
Expose cost_weight/nce_layer in
`trainer_config_helpers`
*
Add FAQ, concepts, h-rnn docs.
*
Add Bidi-LSTM and DB-LSTM to quick start demo @alvations
*
Add usage track scripts.
## Improvements
*
Add travis-ci for macos. Enable swig unittest in travis. Skip travis-ci when only docs are changed.
*
Add code coverage tools.
*
Refine convolution layer to speedup and reduce GPU memory.
*
Speed up PyDataProvider2
*
Add ubuntu deb package build scripts.
*
Make Paddle use git-flow branching model.
*
PServer support no parameter blocks.
## Bug Fixes
*
add zlib link to py_paddle
*
add input sparse data check for sparse layer at runtime
*
Bug fix for sparse matrix multiplication
*
Fix floating-point overflow problem of tanh
*
Fix some nvcc compile options
*
Fix a bug in yield dictionary in DataProvider
*
Fix SRL hang when exit.
# Release v0.8.0beta.1
New features:
*
Mac OSX is supported by source code. #138
*
Both GPU and CPU versions of PaddlePaddle are supported.
*
Support CUDA 8.0
*
Enhance
`PyDataProvider2`
*
Add dictionary yield format.
`PyDataProvider2`
can yield a dictionary with key is data_layer's name, value is features.
*
Add
`min_pool_size`
to control memory pool in provider.
*
Add
`deb`
install package & docker image for no_avx machines.
*
Especially for cloud computing and virtual machines
*
Automatically disable
`avx`
instructions in cmake when machine's CPU don't support
`avx`
instructions.
*
Add Parallel NN api in trainer_config_helpers.
*
Add
`travis ci`
for Github
Bug fixes:
*
Several bugs in trainer_config_helpers. Also complete the unittest for trainer_config_helpers
*
Check if PaddlePaddle is installed when unittest.
*
Fix bugs in GTX series GPU
*
Fix bug in MultinomialSampler
Also more documentation was written since last release.
# Release v0.8.0beta.0
PaddlePaddle v0.8.0beta.0 release. The install package is not stable yet and it's a pre-release version.
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