提交 c3e23a99 编写于 作者: Y Yu Yang 提交者: GitHub

Merge pull request #1903 from reyoung/release_note

Add release note
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## 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`.
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## 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.
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* 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.
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* 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
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* 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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