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Release/v0.9.0 #655

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Nov 30, 2016
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2 changes: 1 addition & 1 deletion CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ cmake_minimum_required(VERSION 2.8)
project(paddle CXX C)
set(PADDLE_MAJOR_VERSION 0)
set(PADDLE_MINOR_VERSION 9)
set(PADDLE_PATCH_VERSION 0a0)
set(PADDLE_PATCH_VERSION 0)
set(PADDLE_VERSION ${PADDLE_MAJOR_VERSION}.${PADDLE_MINOR_VERSION}.${PADDLE_PATCH_VERSION})

set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_SOURCE_DIR}/cmake")
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69 changes: 69 additions & 0 deletions RELEASE.md
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@@ -0,0 +1,69 @@
# Release v0.9.0
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还有一些新增特性,比如demo: mnist、sequence_tagging; 还有徐老师merge的 Python API支持训练的新增功能, 以及sum_cost等。 这些是否需要加上?

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这个版本已经release了。

之前写release note的时候,大家没有把这些加进去,所以之前没加上 :)。

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这个只是将release分支merge回develop而已。。对这里的任何修改已经再也不会对新的release起作用了。


## New Features:

* New Layers
* 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.
* 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 Mac OS X. Enable swig unittest in Travis-CI. 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.
2 changes: 1 addition & 1 deletion paddle/scripts/docker/Dockerfile.m4
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@@ -1,7 +1,7 @@
FROM PADDLE_BASE_IMAGE
MAINTAINER PaddlePaddle Dev Team <[email protected]>
COPY build.sh /root/
ENV GIT_CHECKOUT=v0.9.0a0
ENV GIT_CHECKOUT=v0.9.0
ENV WITH_GPU=PADDLE_WITH_GPU
ENV IS_DEVEL=PADDLE_IS_DEVEL
ENV WITH_DEMO=PADDLE_WITH_DEMO
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