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  • Added copy flag for astype (#10347).
  • Added context parameter to Scala Infer API - ImageClassifier and ObjectDetector (#10252).
  • Added axes support for dropout in gluon (#10032).
  • Added default `ctx` to cpu for `gluon.Block.load_params` (#10160).
  • Added support for variable sequence length in gluon.RecurrentCell (#9934).
  • Added convenience fluent method for squeeze op (#9734).
  • Made array.reshape compatible with numpy (#9790).
  • Added axis support and gradient for L2norm (#9740)

 

Sparse Support

  • Added support for multi-GPU training with "row_sparse" weights using "device" KVStore (#9987).
  • Added `Module.prepare` API for multi-GPU and multi-machine training with "row_sparse" weight (#10285)
  •  Added 'deterministic' option for `contrib.SparseEmbedding` operator
  • Added `sparse.broadcast_mul` and `sparse.broadcast_div` with CSRNDArray and 1-D dense NDArray
  • Added sparse support for Custom Operator (#10374)
  • Added Sparse feature for Perl. (#9988)
  • Added force_deterministic option for sparse embedding (#9882).
  • Improved sparse SGD, sparse AdaGrad and sparse Adam optimizer speed on GPU by 30x (#9561, #10312, #10293, #10062).
  • Improved 'sparse.retain' performance on CPU by 2.5x (#9722)
  • Add `sparse.where` with condition being csr ndarray (#9481)
  • Added guide for implementing sparse ops (#10081).

Deprecations

  • Deprecated profiler_set_state (#10156).

Other Features

  • Added constant parameter for gluon (#9893).
  • Added contrib.rand.zipfian (#9747).
  • Added Gluon PreLU, ELU, SELU, Swish (#9662)
  • Added Squeeze Op (#9700).
  • Added multi-proposal operator (CPU version) and fixed bug in multi-proposal operator (GPU version) (#9939).
  • Added in Large-Batch SGD with a warmup, and a LARS startegy. (#8918)
  • Added Language Modelling datasets and Sampler (#9514).
  • Added instance norm and reflection padding to Gluon (#7938).
  • Added micro-averaging strategy for F1 metric (#9777).
  • Added Softsign Activation Function (#9851).
  • Added eye operator, for default storage type (#9770).
  • TVM bridge support to JIT NDArray Function by TVM (#9880).
  • Added float16 support for correlation operator and L2Normalization operator (#10125, #10078).
  • Added random shuffle implementation for NDArray (#10048).
  • Added load from buffer functions for CPP package (#10261).

Usability Improvements

  • Added embedding learning example for Gluon (#9165).
  •  Added tutorial on how to use data augmenters. (#10055)
  • Added tutorial for Data Augmentation with Masks (#10178)
  • Added LSTNet example (#9512).
  • Added embedding learning example MobileNetV2 example (#9614).
  • Added tutorial for Gluon (#9165Datasets and DataLoaders (#10251).
  • Added Language model with Google's billion words dataset (#10025).
  • Added LSTNet example for custom operator using RTC (#9512#9870).

Known Issues

  • Improved image classification examples (#9799, #9633).
  • Added reshape predictor function to c_predict_api (#9984) 


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 Oct 30, 2017 :: Oct 30, 2017
  3. dmlc-core@: Jan 16 April 4, 2017 2018 :: 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