提交 31e57175 编写于 作者: Q qingqing01 提交者: GitHub

Merge pull request #655 from PaddlePaddle/release/v0.9.0

Release/v0.9.0
...@@ -3,7 +3,7 @@ cmake_minimum_required(VERSION 2.8) ...@@ -3,7 +3,7 @@ cmake_minimum_required(VERSION 2.8)
project(paddle CXX C) project(paddle CXX C)
set(PADDLE_MAJOR_VERSION 0) set(PADDLE_MAJOR_VERSION 0)
set(PADDLE_MINOR_VERSION 9) 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(PADDLE_VERSION ${PADDLE_MAJOR_VERSION}.${PADDLE_MINOR_VERSION}.${PADDLE_PATCH_VERSION})
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_SOURCE_DIR}/cmake") set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_SOURCE_DIR}/cmake")
......
# Release v0.9.0
## 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.
FROM PADDLE_BASE_IMAGE FROM PADDLE_BASE_IMAGE
MAINTAINER PaddlePaddle Dev Team <paddle-dev@baidu.com> MAINTAINER PaddlePaddle Dev Team <paddle-dev@baidu.com>
COPY build.sh /root/ COPY build.sh /root/
ENV GIT_CHECKOUT=v0.9.0a0 ENV GIT_CHECKOUT=v0.9.0
ENV WITH_GPU=PADDLE_WITH_GPU ENV WITH_GPU=PADDLE_WITH_GPU
ENV IS_DEVEL=PADDLE_IS_DEVEL ENV IS_DEVEL=PADDLE_IS_DEVEL
ENV WITH_DEMO=PADDLE_WITH_DEMO ENV WITH_DEMO=PADDLE_WITH_DEMO
......
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