You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
125 lines
4.6 KiB
125 lines
4.6 KiB
# Release v0.10.0
|
|
|
|
## New Features
|
|
|
|
* Support rectangle input for CNN.
|
|
* Support stride pooling for seqlastin and seqfirstin.
|
|
* Expose seq_concat_layer/seq_reshape_layer in `trainer_config_helpers`.
|
|
* Add dataset package
|
|
- CIFAR, MNIST, IMDB, WMT14, CONLL05, movielens, imikolov.
|
|
* Add Priorbox layer for Single Shot Multibox Detection.
|
|
* Add smooth L1 cost.
|
|
* Add data reader creator and data reader decorator for v2 API.
|
|
* Add the cpu implementation of cmrnorm-projection.
|
|
|
|
## Improvements
|
|
|
|
* Speedup the backward of average layer on GPU.
|
|
* Reorganize the catalog of doc/ and refine several docs.
|
|
* Add Travis-CI for checking dead links.
|
|
* Add a example for explaining sparse_vector.
|
|
* Add Relu in layer_math.py
|
|
* Simplify data processing flow for quick start.
|
|
* Support CUDNN Deconv.
|
|
* Add data feeder for v2 API.
|
|
* Support predicting the samples from sys.stdin for sentiment demo.
|
|
* Provide multi-proccess interface for image preprocessing.
|
|
* Add benchmark document for v1 API.
|
|
* Add Relu in layer_math.py.
|
|
* Add packages for automatically downloading public datasets.
|
|
* Rename Argument::sumCost to Argument::sum since Argument does not have to have any relationship with cost.
|
|
* Add a new `TensorExpression` implementation for matrix-related expression evaluations.
|
|
* Add Lazy Assignment for optimize the calculation of multiple expressions.
|
|
* Add `Function` to reconstruct the computation function.
|
|
* PadFunc and PadGradFunc.
|
|
* ContextProjectionForwardFunc and ContextProjectionBackwardFunc.
|
|
* CosSimBackward and CosSimBackwardFunc.
|
|
* CrossMapNormalFunc and CrossMapNormalGradFunc.
|
|
* MulFunc.
|
|
* Add `AutoCompare` and `FunctionCompare`, which make it easier to write unittest for comparing gpu and cpu version of a function.
|
|
* Add `libpaddle_test_main.a` and remove the main function inside the test file.
|
|
|
|
## Bug Fixes
|
|
|
|
* Add layer check for recurrent_group.
|
|
* Clang-format off on some cuda .cc files.
|
|
* Fix LogActivation which is not defined.
|
|
* Fix bug when run test_layerHelpers multiple times.
|
|
* Fix protobuf size limit on seq2seq demo.
|
|
* Fix bug for dataprovider converter in GPU mode.
|
|
* Fix bug in GatedRecurrentLayer which only occurs in predicting or `job=test` mode.
|
|
* Fix bug for BatchNorm when testing more than models in test mode.
|
|
* Fix unit test of paramRelu.
|
|
* Fix some warning about CpuSparseMatrix.
|
|
* Fix MultiGradientMachine error if trainer_count > batch_size.
|
|
|
|
# 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.
|