v0.9.0
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.