Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Bumping up version number #619

Merged
merged 2 commits into from
Nov 28, 2016
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
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")
Expand Down
70 changes: 70 additions & 0 deletions RELEASE.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,70 @@
# 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.
2 changes: 1 addition & 1 deletion paddle/scripts/docker/Dockerfile.m4
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
FROM PADDLE_BASE_IMAGE
MAINTAINER PaddlePaddle Dev Team <paddle-dev@baidu.com>
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
Expand Down