Please use docker hub to get this release.

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.