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New Features

  • Added Scala Inference APIs (#9678). See: MXNet Scala Inference API
  • Added module to import ONNX models into MXNet (#9963). See: Proposal: ImportExport module
  • Added support for Model Quantization with Calibration (#9552). 
  • Added Exception Handling support for operators and iterators (#9681). See: Improved Exception Handling in MXNet
  • Added MKLDNN support for MXNet (#9677). See: MKLDNN integration
  • Added FP16 support for distributed training (#10183).
  • Added Sparse support for Custom Operator (#10374).
  • Add multi-proposal operator (CPU version) and fix the bug in multi-proposal operator (GPU version) (#9939).
  • Profiling enhancements - VTune objects, individual operator profiling, C API profiling, Memory usage profiling   ()

Bug-fixes

  • Test fixes - Flakiness/Bugs - (#9598, #9951, #10259, #10197, #10136, #10422). Please see: https://github.com/apache/incubator-mxnet/projects/9
  • Fixed crash when profiler not enabled (#10306).
  • Fixed uncaught exception for bucketing module when symbol name not specified (#10094).
  • Fixed regression output layers (#9848).
  • Fixed crash with mx.nd.ones (#10014).
  • Fixed sample_multinomial crash when get_prob=True (#10413).
  • Fixed buggy type inference in correlation (#10135).
  • Fixed race condition for CPUSharedStorageManager->Free and launched workers at iter init stage to avoid frequent relaunch (#10096).
  • Fixed DLTensor Conversion for int64 (#10083).
  • Fixes for profiler (#9932)
  • Fixed ndarray assignment issues (#10022, #9981).
  • Fixed incorrect indices generated by device row sparse pull (#9887).
  • Fixed print_summary bug in visualization module (#9492).
  • Fixed cast storage support for same stypes (#10400).

Fixed Security Vulnerabilities

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Performance Improvements

  • Improve sparse.adam_update (#10062).
  • Improve sparse sgd on GPU (#10293).
  • Replace std::swap_ranges with memcpy (#10351)
  • Implement DepthwiseConv2dBackwardFilterKernel from tensorflow codebase, which is over 5x faster (#10098)
  • CPU LSTM Inference (#9977)
  • Layer Normalization in C++ (#10029)
  • Performance optimized for rtc (#10018)
  • Parallelization for ROIpooling OP (#9958)
  • Accelerate the calculation of F1 (#9833)

API Changes

Usability Improvements

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Known Issues

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How to build MXNet

Please follow the instructions at https://mxnet.incubator.apache.org/install/index.html

List of submodules used by Apache MXNet (Incubating) and when they were updated last

Submodule:: Last updated by MXNet:: Last update in submodule

  1. cub@:: Jul 31, 2017 :: Jul 31, 2017
  2. dlpack@: May 20, 2017 :: Oct 30, 2017
  3. dmlc-core@: Jan 16, 2017 :: Jan 17, 2017
  4. mshadow@: December 19, 2017 :: Jan 10, 2017
  5. nnvm@: Dec 9, 2017 :: Jan 10, 2017
  6. ps-lite@: Nov 21, 2017 :: Jan 2, 2017
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