| MXNet Change Log |
| ================ |
| ## 0.9.3 |
| - Move symbolic API to NNVM @tqchen |
| - Most front-end C API are backward compatible |
| - Removed symbolic API in MXNet and relies on NNVM |
| - New features: |
| - MXNet profiler for profiling operator-level executions |
| - mxnet.image package for fast image loading and processing |
| - Change of JSON format |
| - param and attr field are merged to attr |
| - New code is backward-compatible can load old json format |
| - OpProperty registration now is deprecated |
| - New operators are encouraged to register their property to NNVM op registry attribute |
| - Known features removed limitations to be fixed |
| - Bulk segment execution not yet added. |
| |
| ## v0.8 |
| This is the last release before the NNVM refactor. |
| - CaffeOp and CaffeIter for interfacing with Caffe by @HrWangChengdu @cjolivier01 |
| - WrapCTC plugin for sequence learning by @xlvector |
| - Improved Multi-GPU performance by @mli |
| - CuDNN RNN support by @sbodenstein |
| - OpenCV plugin for parallel image IO by @piiswrong |
| - More operators as simple op |
| - Simple OP @tqchen |
| - element wise op with axis and broadcast @mli @sxjscience |
| - Cudnn auto tuning for faster convolution by @piiswrong |
| - More applications |
| - Faster RCNN by @precedenceguo |
| |
| |
| ## v0.7 |
| - 0.6 is skipped because there are a lot of improvements since initial release |
| - More math operators |
| - elementwise ops and binary ops |
| - Attribute support in computation graph |
| - Now user can use attributes to give various hints about specific learning rate, allocation plans etc |
| - MXNet is more memory efficient |
| - Support user defined memory optimization with attributes |
| - Support mobile applications by @antinucleon |
| - Refreshed update of new documents |
| - Model parallel training of LSTM by @tqchen |
| - Simple operator refactor by @tqchen |
| - add operator_util.h to enable quick registration of both ndarray and symbolic ops |
| - Distributed training by @mli |
| - Support Torch Module by @piiswrong |
| - MXNet now can use any of the modules from Torch. |
| - Support custom native operator by @piiswrong |
| - Support data types including fp16, fp32, fp64, int32, and uint8 by @piiswrong |
| - Support monitor for easy printing and debugging by @piiswrong |
| - Support new module API by @pluskid |
| - Module API is a middle level API that can be used in imperative manner like Torch-Module |
| - Support bucketing API for variable length input by @pluskid |
| - Support CuDNN v5 by @antinucleon |
| - More applications |
| - Speech recognition by @yzhang87 |
| - [Neural art](https://github.com/dmlc/mxnet/tree/master/example/neural-style) by @antinucleon |
| - [Detection](https://github.com/dmlc/mxnet/tree/master/example/rcnn), RCNN bt @precedenceguo |
| - [Segmentation](https://github.com/dmlc/mxnet/tree/master/example/fcn-xs), FCN by @tornadomeet |
| - [Face identification](https://github.com/tornadomeet/mxnet-face) by @tornadomeet |
| - More on the example |
| |
| ## v0.5 (initial release) |
| - All basic modules ready |
