Released Chainer v5.3.0

[nibos...@gmail.com]

This is the release note of v5.3.0. See here for the complete list of solved issues and merged PRs.

Enhancements

• Reduce memory usage in MultiprocessParallelUpdater (#6113)
• Check input size consistency in RNN and LSTM when using cuDNN (#6186)
• Add group option value of Convolution2D to Caffe exporter (#6293, thanks @ohnabe!)
• Add support for importing and exporting Caffe Sigmoid layer (#6294, thanks @notogawa!)

Performance Improvements

• Improve F.relu performance with CuPy (#6270)
• Reduce chainer.is_debug() overhead (#6297)

Bug Fixes

• Bugfix of MultiNodeOptimizer with loss scaling (#5783)
• Fix BN+F.forget (#6076)
• Fix cupy import failure detection (#6112)
• Fix memory leak during backprop in Python 2 (#6125)
• Use ideep in optimizers properly (#6143)
• Fix dump_graph not to memory leak (#6147, thanks @hitsgub!)
• Fix warning message for backward on a scalar array (#6319)

Documentation

• Fix wrong MNIST MLP anchor (#6055)
• Fix document in NStepLSTM/NStepRNN (#6074)
• Fix typo in classifier.py (#6102, thanks @hiden-cubist!)
• Document NumPy 1.16 support (#6141)
• Reorganize documentation for easier access to tutorials and examples (#6152)
• Fix old and broken PTB url (#6180)
• Add upgrade guide for use of forward method (#6193)
• Add imports of initializers and math, required in "Define your own function" examples (#6220, thanks @Qwinpin!)
• Add references for n-dimensional arrays (#6221)
• Imagenet README.md typo (#6224)
• Update URL of PTB dataset (#6239)
• Make docs of functions refer ndarray (#6288)

Examples

• Refactor train_mnist_dual_parallel.py (#5716)
• Fix seq2seq example (#6093)
• Minor fix on README of seq2seq example (#6208)
• Fix seq2seq example encoding problem on Python3 (#6209)
• Remove PrintReport entries in seq2seq example (#6321)

Tests

• Fix tolerance and numeric grad precision in F.triplet test (#6144)
• Fix chainermn tests (#6086)