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@beam2d beam2d released this May 16, 2019 · 136 commits to v6 since this release

This is the release note of v6.0.0. See here for the complete list of solved issues and merged PRs.

This release note only covers the difference from v6.0.0rc1; for all highlights and changes, please refer to the release notes of the pre-releases:

See the Upgrade Guide if you are upgrading from previous versions.

Highlights

  • AdaBound and AMSBound are now supported by Adam
  • The performance of unpooling with integer scaling is improved
  • Many examples including ImageNet, DCGAN and VAE support ChainerX

New Features

Enhancements

  • Make ChainerX device functions public (#6760)
  • Fix Evaluator for chainer.dataset.converter (#6790)
  • Remove ChainerX Backend ctor and use CreateBackend (#6809)
  • Improve link_hooks.SpectralNormalization (#6877, thanks @crcrpar!)
  • Update distributions.independent (#6945, thanks @ganow!)
  • Define __str__ for Device classes (#7092, thanks @nishnik!)
  • Fix trigger constructors to raise errors instead of assertion failures (#7105)

Performance Improvements

  • Fast integer scale unpooling (#7127)

Bug Fixes

  • Avoid throwing in destructors (#6755)
  • Fix ArgMax of CUDA when all values are negative (#6796)
  • Fix chainerx.astype casting from float16 to bool in CUDA (#6797, thanks @kshitij12345!)
  • Fix TypeError during BN deserialization on win64 (#6812, thanks @hyabe!)
  • Remove chainerx.square fallback since it is implemented in C++ (#6828)
  • Fix stack overflow caused when to_gpu/to_cpu/to_intel64 were overridden (#6849)
  • Fix unchain gradient pull (#6918, thanks @Rishav1!)
  • Fix filename arg of PlotReport (#6928)
  • Make InvalidType picklable (#6934, thanks @zaltoprofen!)
  • Fix terminal column width retrieval in backprop traceback in Python 2 (#6958)
  • Avoid using ImportError during import cupy (#7011)
  • Fix ConcatWithAsyncTransfer (#7019)
  • Set allow_pickle=True (#7048)
  • Fix subview of zero-sized arrays (#7051)
  • Fix At output offset (#7054)
  • Fix handling of ndarray offsets (#7056)
  • Fix construction of std::shared_ptr with custom deleter in chianer_interop.cc (#7109)
  • Add zero fill mode in allreduce of chainermn (#7142)

Code Fixes

  • Fix comments and add TODO to indexing routines (#6793)
  • Refactor CUDA batch norm tensor descriptor (#6805)
  • Add cuda_internal::DeviceInternals to wrap handle etc. (#6826)
  • Clean up DeviceInternals (#6830)
  • Avoid importing object (#7121)
  • ChainerX op registration: normalization (#6851)

Documentation

  • Append to v6 upgrade guide about Python 3.4 support drop (#6751)
  • Fix broken link in chainerx.md (#6916, thanks @tkat0!)
  • Use search index (#6930)
  • Fix typo in pickle_dataset.py (#6964)
  • Update ChainerX contribution guide (#6971)
  • Document chainer.testing.LinkTestCase (#7001, thanks @crcrpar!)
  • Update supported MPI list (#7113)
  • Document CHAINERX_ENABLE_BLAS environment variable (#7120)
  • Fix documentation of renamed arguments (#7123)
  • Backport #6595, #7099 and #7102 (#7152)

Installation

  • Exclude protobuf 3.8.0rc1 from dependencies (#7088)

Examples

  • Improve Chainer examples (#6753, thanks @crcrpar!)
  • Support ChainerX in reinforcement learning example (#6787)
  • Support ChainerX in VAE example (#6791)
  • Support ChainerX in word2vec example (#6795)
  • Support ChainerX in DCGAN example (#6799)
  • Support ChainerX in wavenet example (#6806)
  • Support ChainerX in CIFAR example (#6957)
  • Support ChainerX in text classification example (#6997)
  • Use filename in PlotReport example (#7009, thanks @crcrpar!)
  • Fix reinforcement_learning example to work with default dtype (#7049)

Tests

  • Travis test against v6 branch (#6750)
  • Fix Travis with macOS (#6758)
  • Dodge nondifferentiable inputs in chainerx.max test (#6766)
  • Fix F.elu test numeric error (#6844)
  • Fix test failures in math test (#6850)
  • Relax tolerance for float16 in unary_math_function_unittest (#6919)
  • Fix F.rrelu test instability (#6920)
  • Fix F.max_pooling_nd test instability (#6927)
  • Relax tolerances and avoid non-differentiable points for FP16 in triplet loss tests (#6929)
  • Fold Travis test outputs (#6967)
  • Increase the default columns in Travis CI (#6973)
  • Fix flaky TestLogSumExp (#6999)
  • Fix flaky ChainerX max_pool test (#7002)
  • Fix test failure in test_spatial_transformer_sampler.py (#7020)
  • Quickfix: skip tests that fail with NumPy 1.16.3 (#7025)
  • Fix flaky Huber loss test (#7052)
  • Fix flaky chainerx.tan test (#7053)
  • Display pytest summary (#7090)
  • Display pytest summary (cont.) (#7091)
  • Make too slow initializers' tests faster (#7122)

Others

  • Make git ignore chainerx/libchainerx.dylib (#6885)
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