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体验新版 GitCode,发现更多精彩内容 >>
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c3e23a99
编写于
5月 02, 2017
作者:
Y
Yu Yang
提交者:
GitHub
5月 02, 2017
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Merge pull request #1903 from reyoung/release_note
Add release note
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a0fbc1e1
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RELEASE.md
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c3e23a99
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@@ -2,6 +2,8 @@
## New Features
*
We release
[
new python API
](
http://research.baidu.com/paddlepaddles-new-api-simplifies-deep-learning-programs/
)
.
*
Deep Learning 101 book in
[
English
](
http://book.paddlepaddle.org/index.en.html
)
and
[
Chinese
](
http://book.paddlepaddle.org/
)
.
*
Support rectangle input for CNN.
*
Support stride pooling for seqlastin and seqfirstin.
*
Expose seq_concat_layer/seq_reshape_layer in
`trainer_config_helpers`
.
...
...
@@ -14,6 +16,10 @@
## Improvements
*
Support python virtualenv for
`paddle_trainer`
process.
*
Add pre-commit hooks, used for automatically format our code.
*
Use Protobuf 3.X as the default Paddle Protobuf version.
*
Add an option to check data type in python data provider.
*
Speedup the backward of average layer on GPU.
*
Reorganize the catalog of doc/ and refine several docs.
*
Add Travis-CI for checking dead links.
...
...
@@ -28,6 +34,7 @@
*
Add Relu in layer_math.py.
*
Add packages for automatically downloading public datasets.
*
Rename Argument::sumCost to Argument::sum since Argument does not have to have any relationship with cost.
*
Expose Argument::sum to Python
*
Add a new
`TensorExpression`
implementation for matrix-related expression evaluations.
*
Add Lazy Assignment for optimize the calculation of multiple expressions.
*
Add
`Function`
to reconstruct the computation function.
...
...
@@ -38,6 +45,14 @@
*
MulFunc.
*
Add
`AutoCompare`
and
`FunctionCompare`
, which make it easier to write unittest for comparing gpu and cpu version of a function.
*
Add
`libpaddle_test_main.a`
and remove the main function inside the test file.
*
Support dense numpy vector in PyDataProvider2.
*
Clean code base, remove some copy & paste codes before.
*
Extract RowBuffer class for SparseRowMatrix.
*
Clean GradientMachine's interface.
*
Try use
`override`
keyword in layer.
*
Simplify Evaluator::create, use
`ClassRegister`
to create Evaluator.
*
Add md5 check when downloading demo's dataset.
*
Add
`paddle::Error`
which intentially replace
`LOG(FATAL)`
in Paddle.
## Bug Fixes
...
...
@@ -52,6 +67,7 @@
*
Fix unit test of paramRelu.
*
Fix some warning about CpuSparseMatrix.
*
Fix MultiGradientMachine error if trainer_count > batch_size.
*
Fix when async load data in PyDataProvider2.
# Release v0.9.0
...
...
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