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@beam2d beam2d released this 16 May 08:33
· 506 commits to v6 since this release
v6.0.0
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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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