Created by: reyoung

We will release v0.11.0 within this week.

The difference between master and develop can be shown at this link. Or by the following command

git log --author='Yu Yang' master..develop

The release note draft is shown as below. Please edit this issue directly.

New Features

• Release Fluid API. TODO: need an introduction to fluid.
• Add C-API for model inference
• Use fluid API to create a simple GAN demo.
• Add develop guide about performance tunning.
• Add retry when download paddle.v2.dataset.
• Linking protobuf-lite not protobuf in C++. Reduce the binary size.
• Feature Elastic Deep Learning (EDL) released.
• A new style cmake functions for Paddle. It is based on Bazel API.
• Automatically download and compile with Intel® MKLML library as CBLAS when build WITH_MKL=ON.
• Intel® MKL-DNN on PaddlePaddle:
  • Complete 11 MKL-DNN layers: Convolution, Fully connectivity, Pooling, ReLU, Tanh, ELU, Softmax, BatchNorm, AddTo, Concat, LRN.
  • Complete 3 MKL-DNN networks: VGG-19, ResNet-50, GoogleNet
  • Benchmark on Intel Skylake 6148 CPU: 2~3x training speedup compared with MKLML.
• Add the softsign activation.
• Add the dot product layer.
• Add the L2 distance layer.
• Add the sub-nested sequence layer.
• Add the kmax sequence score layer.
• Add the sequence slice layer.
• Add the row convolution layer
• Add mobile friendly webpages.

Improvements

• Build and install using a single whl package.
• Custom evaluating in V2 API.
• Change PADDLE_ONLY_CPU to PADDLE_WITH_GPU, since we will support many kinds of devices.
• Remove buggy BarrierStat.
• Clean and remove unused functions in paddle::Parameter.
• Remove ProtoDataProvider.
• Huber loss supports both regression and classification.
• Add the stride parameter for sequence pooling layers.
• Enable v2 API use cudnn batch normalization automatically.
• The BN layer's parameter can be shared by a fixed the parameter name.
• Support variable-dimension input feature for 2D convolution operation.
• Refine cmake about CUDA to automatically detect GPU architecture.
• Improved website navigation.

Bug Fixes

• Fix bug in ROI pooling. cc9a761a
• Fix AUC is zero when label is dense vector. #5274
• Fix bug in WarpCTC layer.