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RELEASE.md

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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.