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@kmaehashi kmaehashi released this Jan 13, 2021

This release fixes an issue in v7.0.0 release that python_requires tag is missing.
Python 2 users (with pip 20.3+) no longer get Chainer v7 when doing pip install chainer. (#8545, diff)

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@emcastillo emcastillo released this Jul 30, 2020 · 50 commits to master since this release

This is the release note of v7.7.0. See here for the complete list of solved issues and merged PRs.

As announced previously, Chainer has reduced the release frequency from monthly to once every two months if there are changes that justify the release. We have decided to skip v7.5.0 and v7.6.0 in order to keep the Chainer version up to date with CuPy’s most recent release.

Bug Fixes

  • Add support for spawn and forkserver start method in PickleDataset (#8465, thanks @zaltoprofen!)
  • Fix array indexing in create_multi_node_evaluator (#8568)

Documentation

  • Fix Reporter example (#8561)
  • Add message about maintenance phase (#8567)

Tests

  • Fix Travis macOS failure (#8562)
  • Fix onnxruntime version for CI failure (#8564)
  • Fix Chainer CIs (#8569)
  • Use v7 for base branch detection (#8570)
  • Install CuPy v7 for ChainerX Jenkins tests (#8574)

Others

  • Update Twitter ID (#8572)
  • Bump python version for RTD build (#8576)
  • Fix onnxruntime version for CI failure (#8564)
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@emcastillo emcastillo released this Apr 23, 2020 · 81 commits to master since this release

This is the release note of v7.4.0. See here for the complete list of solved issues and merged PRs.

As announced previously, Chainer has reduced the release frequency from monthly to once every two months. We have decided to skip v7.3.0 in order to keep the Chainer version up to date with CuPy’s most recent release.

Enhancements

  • Allow concat_arrays to be pickable (#8549)

Bug Fixes

  • Allow start_methods other than fork on MultiprocessParallelUpdater (#7552)
  • Fix backend.copyto for mismatched dtypes to CuPy ndarray (#8043)
  • Fix optimizer.use_fp32_update on ChainerX model (#8382, thanks @y1r!)

Documentation

  • Fix local_convolution_2d result shape documentation (#8553, thanks @msakai!)
  • Update functions.rst (#8557, thanks @husisy!)

Tests

  • Remove python 2.7 builds (#8550)
  • Use CuPy v7 in CI (#8554)
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@niboshi niboshi released this Feb 14, 2020 · 105 commits to master since this release

This is the release note of v7.2.0. See here for the complete list of solved issues and merged PRs.

As announced previously, Chainer is currently under the maintenance phase. Considering the situation, we are going to reduce the release frequency of Chainer from monthly to once every two months. This does not affect the release frequency of CuPy.

Enhancements

  • Add support for cupy-cuda102 (#8544)

Bug Fixes

  • Calculate beta with static_code on F.BatchNormalization.forward (#8325)

Code Fixes

  • Remove py2 warnings (#8542)

Documentation

  • Remove stable version section from README (#7956)
  • Add Optuna to README.md (#8537)
  • Fix typo (#8541)

Examples

  • Fix accuracy calculation of custom loop examples (#8534)
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@emcastillo emcastillo released this Jan 16, 2020 · 124 commits to master since this release

This is the release note of v7.1.0. See here for the complete list of solved issues and merged PRs.

Enhancements

  • Support custom initializers in NStepRNN (#8489)
  • Support n_step_gru function on exporting ONNX (#8492, thanks @msakai!)
  • Extend ONNX-Chainer's TransposeSequence converter to support more cases (#8493, thanks @msakai!)
  • Add NStepGRU link converter example to ONNX-Chainer test (#8494, thanks @msakai!)
  • Allow ONNX-Chainer's patch_functions to patch functions in modules other than chainer.functions (#8495, thanks @msakai!)
  • Replaced n_fold with n_folds (#8516, thanks @Saanidhyavats!)
  • Remove trailing whitespaces (#8536)

Performance Improvements

  • Fast IndexIterator for ChainerX CUDA (#8360)

Bug Fixes

  • Fix CooMatrix.to_dense for duplicate indices (#8187)
  • Add try/finally block to yield in reporter.py (#8508)

Documentation

  • Fix several documentation errors in chainer.functions.rnn.* (#8454, thanks @msakai!)
  • Fix typo: chainermn.extension -> chainermn.extensions (#8526, thanks @msakai!)
  • Remove '--pre' from 'pip install' commands in ChainerX installation document (#8527, thanks @msakai!)

Installation

Tests

  • Add chainerx test in observation_aggregator (#8384)
  • Fix flaky TestZeta (#8514)
  • Fix flaky test: TestCholesky (#8520)
  • Skip chainerx.fromfile test when dtype is bool_ and mode is text (#8521)
  • Use FunctionTestCase to test F.decov (#8522)
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@niboshi niboshi released this Jan 16, 2020

This is the release note of v6.7.0. See here for the complete list of solved issues and merged PRs.

As announced previously, this is the final release of v6 series, which is the last version supporting Python 2.

Bug Fixes

  • Add try/finally block to yield in reporter.py (#8511)

Documentation

  • Fix several documentation errors in chainer.functions.rnn.* (#8530, thanks @msakai!)

Tests

  • Use FunctionTestCase to test F.decov (#8523)
  • Skip chainerx.fromfile test when dtype is bool_ and mode is text (#8524)
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@emcastillo emcastillo released this Dec 5, 2019 · 222 commits to master since this release

This is the release note of v7.0.0. See here for the complete list of solved issues and merged PRs.

This release note only covers the difference from v7.0.0rc1; 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. Also, note that we dropped the support of Python 2.7 and 3.4 from Chainer v7.

Please read the following announcement to learn about the future of Chainer.

Highlights

  • Most features of Chainer, including ChainerMN, are now compatible with ChainerX ndarray.
  • ONNX-Chainer is integrated into Chainer.
  • NHWC support added. Performance for convolutions and batch normalization greatly improved on GPUs with Tensor Core.

Changes without compatibility

  • Forbid out-of-range insert on Sequence (#6374)
  • Update minimum required python version to 3.5.2 (#8410)

New Features

  • Support soft target in softmax_cross_entropy (#5595, thanks @anaruse!)
  • Support NHWC tensor layout (#7620)
  • Add Cholesky Decompostion (#8202, thanks @UmashankarTriforce!)
  • Allow customizing setup/tear-down method names in testing.fix_random (#8432)

Enhancements

  • Use intermediate dtype in F.mean_absolute_error for FP16 (#6807)
  • Avoid fallback for ChainerX in F.accuracy (#7396)
  • Add from_params to Linear & Conv (#7525, thanks @crcrpar!)
  • Correct FunctionNode.forward output type message (#7655)
  • Default index mode for ChainerX Take (#8281)
  • Forward chainerx::MakeArray in some case (#8296)
  • Raise ValueError when calling xxx_obj with ChainerX array in ChainerMN (#8320)
  • Add Permutate exporter to onnx_chainer (#8333, thanks @msakai!)
  • Update ONNX version (#8339)
  • Support ONNX export with opset11 (#8341)
  • Support multiple advanced indexing on ONNX export (#8345)
  • Revert output value check in SoftmaxCrossEntropy (#8347)
  • Enhance chainerx::AddAt as a public function (#8351)
  • Support cover_all=True on Unpooling2D in exporting to ONNX (#8391)
  • Use ceiling_mode on exporting to ONNX MaxPool (#8392)
  • Fix onnx_chainer.replace_func.fake_as_funcnode to reconstruct return value structure (#8398, thanks @msakai!)
  • Support Rollaxis in ONNX-Chainer (#8428, thanks @tkanmae!)
  • Add support of SelectItem in ONNX-Chainer (#8450, thanks @tkanmae!)
  • Add TransposeSequence exporter to ONNX-Chainer (#8451, thanks @msakai!)
  • Use __name__ attribute in parameterized test names when available (#8455, thanks @grlee77!)
  • SelectItem using GatherElements for ONNX opset>=11 (#8470)
  • Add deprecation warning to ONNX exporting without test cases (#8473)
  • Add workaround for cuSolver 10.2's new enums (#8475)
  • Support step slicing on ONNX export (#8484)
  • Support sign function on exporting ONNX (#8488)
  • Raise RuntimeError when using cudnn_fast without cudnn (#8499)

Performance Improvements

  • Make contiguous case for chainerx::AddAt faster (#8299)

Bug Fixes

  • Fix 'attempting to reference a deleted function' with MSVC (#8258, thanks @cloudhan!)
  • Fix onnx_chainer's exporter of Separate to handle single output case (#8332, thanks @msakai!)
  • Fix ChainerX fallback condition in batch normalization (#8359)
  • Remove host-side branch on F.accuracy with ignore_label (#8364, thanks @y1r!)
  • Fix rounding on float16 conversions (#8378)
  • Avoid overflow on index calculations when using large arrays (#8389)
  • Fix pickling of optimizers (#8394)
  • Fix AttributeError in WrappedFunctionNode.forward (#8397, thanks @msakai!)
  • Register uninitialized persistents (#8445)
  • Fix ONNX-Chainer's GetItem converter to handle -1 correctly (#8460, thanks @msakai!)
  • Support chainerx.batch_norm with 2D input on CUDA (#8464)
  • Fix BatchNormalization for NHWC without cudnn (#8497)

Code Fixes

  • Code clean up for routines/indexing.h (#8288)
  • Fix style in _snapshot.py (#8297)
  • C++ cosmetic fixes (#8379)
  • Avoid using VariableNode in F.convolution_2d backward implementation (#8395)
  • Add unsigned suffix in float16 test (#8408)
  • Remove unused function (#8413)
  • Add unsigned integer suffix (#8414)
  • Avoid repeatedly enumerating submodules (#8421)
  • Fix ChainerX CMake test dependencies (#8422)
  • Avoid preprocessor for LAPACK error (#8468)

Documentation

  • Fix for issue #6251 and issue #6810 (#6808, thanks @euler16!)
  • Document properties of computed gradients in cholesky and eigh (#8312)
  • Fix n-step RNN docs (#8326, thanks @euler16)
  • Fix documentation of NStepGRUBase (#8330, thanks @msakai!)
  • Fix typos in ONNX-Chainer introduction (#8334, thanks @msakai!)
  • Fix docs of ONNX export introduction (#8338)
  • Fix typo in /examples/seq2seq/README.md (#8399, thanks @tanaken0515!)
  • Link to examples directory for the current branch (#8403)
  • Fix scatter_dataset part of ChainerMN tutorial (#8406)
  • Update expected messages of type_check errors (#8407)
  • Fix typo in math expressions (#8433)
  • Update requirements (#8501)

Installation

  • Allow multiple code in CHAINERX_NVCC_GENERATE_CODE (#8370)
  • Fix CMake target name for abseil (#8380)
  • Remove typing requirement (#8383, thanks @jonringer!)
  • Update minimum required python version to 3.5.2 (#8410)
  • Use PYBIND11_EXPORT instead of visibility hack (#8437)
  • Ignore unused function warning in NVCC (#8439)
  • Fix code grouping in CMakeLists.txt (#8440)

Examples

  • Add MNIST MultiprocessParallelUpdater example (#7478)
  • Use ChainerX softmax cross entropy implementation in ChainerX examples (#8294)

Tests

  • Forbid out-of-range insert on Sequence (#6374)
  • Check output in example tests (#7280)
  • Show pytest summary in flexCI (#8212)
  • Run example tests in Travis CI (#8251)
  • Fix Decorrelated Batch Normalization tests (#8260)
  • Build ChainerX example in CI (#8282)
  • Fix test_Meshgrid (#8285)
  • Add ChainerX pytest in multi_node_early_stopping (#8321)
  • Fix inputs of pooling function tests (#8328)
  • Include .git in ChainerCV compatibility CI (#8331)
  • Adjust SoftmaxCrossEntropy test tolerances (#8335)
  • Fix random condition in chainerx.where test (#8342)
  • Use LinkTestCase for L.GroupNormalization (#8343)
  • Relax tolerances of ChainerX linalg forward tests (#8344)
  • Add chainerx test to dataset_tests (#8346)
  • Print installed packages in pytest (#8348)
  • Reduce shape in ChainerX linalg test (#8349)
  • Use different docker image for each base development branch (#8350)
  • Set CHAINER_CI in Travis CI (#8353)
  • Set CHAINER_CI in ChainerX tests in Jenkins (#8354)
  • Set CHAINER_CI in Chainer tests in FlexCI (#8356)
  • Use xpytest to parallelize tests (#8361)
  • Relax float16 forward tolerance of F.cast test (#8363)
  • Print actual array values in FunctionTest modified input error (#8367)
  • Fix negative tests for chainerx.linalg.* (#8371)
  • Avoid non-differential point in TestTriplet (#8376)
  • Check ONNX Chainer python styles (#8400)
  • Change version of python in travis macos test (#8405)
  • Remove chainerx dependency from test backends (#8409)
  • Add ChainerX test to test_allreduce_persistent.py (#8412)
  • Use fix_random in xfail backward tests (#8419)
  • Fix TestMeshgrid (#8420)
  • Add ChainerMN and ONNX-chainer tests to Mergify requirements (#8424)
  • Add chainerx tests to test_checkpoint.py (#8429)
  • Fix random in ChainerX n-step GRU test (#8431)
  • Add chainerx tests to test_create_mnbn_model (#8435)
  • Add chainerx tests into multi_node_optimizer (#8436)
  • Annotate tests that usually run >30s (#8443)
  • Lookup macOS undefined symbols at runtime in backend tests (#8448)
  • Skip some Convolution2D tests for older numpy versions (#8458)
  • Add parametrize_device_name to setup.cfg (#8459)
  • Fix conflict between #8251 and #8361 (#8461)
  • Fix example test data (#8463)
  • Enable verbose flag when installing chainer in Jenkins (#8467)
  • Remove ChainerX F.cholesky test (#8469)
  • Ignore cupy.util.PerformanceWarning in pytest (#8471)
  • Avoid ChainerX slow tests in Jenkins (#8472)
  • Fix flaky test of _modified_xlogx (#8483)
  • Fix broken version specification in FlexCI dockerfile (#8485)
  • Remove unnecessary export on ONNX replace function test (#8487)
  • Allow array_utils.uniform to be deterministic with fix_random by default (#8491)
  • Add error message for invalid base branch in pfnCI (#8496)
  • Adjust timeout and build memory usage in FlexCI (#8498)
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@niboshi niboshi released this Dec 5, 2019 · 10 commits to v6 since this release

This is the release note of v6.6.0. See here for the complete list of solved issues and merged PRs.

Bug Fixes

  • Fix SCE with ChainerX and normalize (#8311)
  • Fix kernel of double backward of max_pooling_2d (#8329)
  • Fix ChainerX fallback condition in batch normalization (#8368)
  • Fix optimizer_hooks.GradientHardClipping for scalar array (#8372)
  • Fix pickling of optimizers (#8417)
  • Register uninitialized persistents (#8446)

Enhancements

  • Compute F.negative_sampling in fp32 for fp16 inputs (#8309)
  • Fix optimizer_hooks.GradientHardClipping for ChainerX (#8377, thanks @kshitij12345!)

Documentation

  • Fix documentation of NStepGRUBase (#8337, thanks @msakai!)
  • Fix n-step RNN docs (#8402)
  • Fix typo in /examples/seq2seq/README.md (#8404, thanks @tanaken0515!)
  • Changes citation to new KDD paper (#8418)
  • Link to examples directory for the current branch (#8423)
  • Update expected messages of type_check errors (#8456)
  • Update requirements (#8502)

Tests

  • Fix Decorrelated Batch Normalization tests (#8340)
  • Add missing FlexCI configurations (#8352)
  • Use LinkTestCase for L.GroupNormalization (#8355)
  • Show pytest summary in flexCI (#8369)
  • Set CHAINER_CI in Travis CI (#8373)
  • Set CHAINER_CI in ChainerX tests in Jenkins (#8375)
  • Set CHAINER_CI in Chainer tests in FlexCI (#8381)
  • Print installed packages in pytest (#8386)
  • Print actual array values in FunctionTest modified input error (#8388)
  • Avoid non-differential point in TestTriplet (#8396)
  • Use different docker image for each base development branch (#8401)
  • Disable ChainerMN FlexCI tests on v6 (#8411)
  • Use fix_random in xfail backward tests (#8457)
  • Avoid ChainerX slow tests in Jenkins (#8474)
  • Use CuPy v6 in ChainerX test in Jenkins (#8477)
  • Skip some Convolution2D tests for older numpy versions (#8478)
  • Fix Travis Openssl Error in OSX (#8480)
  • Fix flaky test of _modified_xlogx (#8486)
  • Add error message for invalid base branch in pfnCI (#8500)
  • Adjust timeout and build memory usage in FlexCI (#8503)
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@hvy hvy released this Oct 25, 2019 · 664 commits to master since this release

This is the release note of v7.0.0rc1. See here for the complete list of solved issues and merged PRs.

Announcements

This time, we will keep the current branches for active development (master for v7.x, v6 for v6.x) after the RC. We will maintain v6.x series until Python2 EOL, so we do not cut the new development version for now to avoid increasing the number of branches to maintain. New features will be included directly into v7 for a while, and maintenance changes will be backported to v6.

Highlights

ONNX-Chainer Integration

ONNX-Chainer which used to be a separate project has now been integrated to the Chainer repository and made more accessible to existing Chainer users (#8229). You can easily export Chainer model as ONNX format like this:

import onnx_chainer
onnx_chainer.export(chainer_model, pseudo_input, filename='model.onnx')

For a more detailed description on how to get started, please refer to the ONNX-Chainer section in the official documentation.

ChainerMN

ChainerMN now works with ChainerX. In this release, the MNIST example has also been updated to demonstrate the usage. (#7844)

New Features

  • Add UpsamplingDeconvFilter and DownsamplingConvFilter initializer (#5290, thanks @knorth55!)
  • Add chainerx.meshgrid (#6668, thanks @kshitij12345!)
  • Add chainerx.hsplit (#7030, thanks @ishanrai05!)
  • Add linalg.cholesky to ChainerX (#7329, thanks @IvanYashchuk!)
  • Add linalg.eigh, linalg.eigvalsh to ChainerX (#7503, thanks @IvanYashchuk!)
  • ChainerX + ChainerMN integration on MNIST (#7844)
  • New configuration system of communicator inspired by links (#7885)
  • More efficient multi-node snapshot (#8003)
  • A new multi-node evaluator for force_equal_length=False (#8071)
  • Allow weight initializer to have its own RandomState instance (#8081, thanks @mr4msm!)
  • Add chainerx.hinge (#8168)
  • Integrate ONNX-Chainer to Chainer repository (#8229)
  • Implement chainerx::SoftmaxCrossEntropy and chainerx.softmax_cross_entropy (#8250)
  • Add chainermn.testing.to_device function (#8279)
  • Add chainerx.copyto (#8314, thanks @kshitij12345!)

Enhancements

  • Rename TabularDataset.as_tuple/as_dict to TabularDataset.astuple/asdict (#7788)
  • Deprecate DeviceResident.to_gpu/to_cpu/to_intel64 (#8058)
  • Support zero-sized matrix in generate_matrix (#8167)
  • Add mode argument to chainerx.take (#8197)
  • Delete move and copy of virtual *GradState classes (#8224)
  • Fix directional gradient stability in gradient_check (#8236)
  • Fix some typo (#8243, thanks @garanews!)
  • Fix CuPy installation detection error message (#8264)
  • Fix intel64 support of F.batch_normalization (#8266)
  • Fix dim clearing on output (#8270)
  • Remove device argument from chainerx.diag and chainerx.diagflat (#8275)
  • Fix algorithm to avoid small directions in gradient_check (#8290)
  • Show import error with guild message on ONNX (#8293)
  • Partially output_grad support on fake_as_funcnode (#8298)
  • Compute F.negative_sampling in fp32 for fp16 inputs (#8300)
  • Make some arguments keyword-only. Note that some of them may break code based on v7 beta versions, but none of them breaks the compatibility against v6.
    • Make mode and align_corners arguments in F.resize_image keyword-only (#8009)
    • Make weights and keepdims arguments in Variable.mean keyword-only (#8010)
    • Make arguments of WeightStandardization keyword-only (#8011)
    • Make call_before_training argument of Trainer.extend keyword-only (#8064)
      • The argument was introduced in v7.0.0b3, so it is not counted as compatibility break of v7.
    • Make arguments in ObservationAggregator and MultiNodeEarlyStoppingTrigger keyword-only (#8065)
    • Make force_equal_length argument in scatter_dataset and scatter_index keyword-only (#8066)
    • Make size argument of tabular.from_data keyword-only (#8067)

Performance Improvements

  • Make contiguous case for chainerx::Take faster (#8295)

Bug Fixes

  • Fix subgraph construction for ChainerX backward (#8049)
  • Fix a bug in F.batch_normalization with mixed dtype (#8149)
  • Fix __str__ of parameterized class (#8169)
  • Fix bugs when x and gamma/beta have different dtypes in F.batch_normalization (#8175)
  • Change copy to __deepcopy__ in ChainerMN batch_normalization and replace to_gpu (#8185)
  • Fix possible data race in CUDA memory keeper (#8213)
  • Add virtual destructor to CUDA Allocator (#8215)
  • Inherit input ndarray device in chainerx.ascontiguousarray (#8262)
  • Do not expose global_kernel_registry (#8265)
  • Fix SCE with ChainerX and normalize (#8301)
  • Unable to use gpu_id=0 in ChainerMN testing get_device (#8304)

Code Fixes

  • Update variable names for consistent naming convention (#8074)
  • Fix style of setup.cfg (#8180)
  • Remove unused forward declaration of AveragePoolPadMode enum (#8214)
  • Write Read the Docs related comments in setup.py (#8218)
  • Remove unused classes {Max,Average}PoolForwardBackward (#8223)
  • Conform to readability-avoid-const-params-in-decls (#8225)
  • Simplify direction vector sampling in gradient_check (#8238)
  • Use type hint for method declaration (#8248)
  • Remove obsolete comment in F.softmax_cross_entropy (#8253)
  • Fix import order and grouping (#8257)
  • Simplify CreateSubgraph (#8310)

Documentation

  • Change citation to new KDD paper (#7994)
  • Fix a typo in the Cauchy distribution page (#8208, thanks @nzw0301!)
  • Fix resize_images documentation to reflect recent code changes (#8221, thanks @zu3st!)
  • Set up documentation for loss functions in ChainerX (#8231)
  • Add documentation for chainerx.ravel (#8233)
  • Add documentation for chainerx.sigmoid_cross_entropy (#8249)
  • Put a link to CuPy installation guide in README instead of a command instruction (#8287)

Installation

  • Add ability to build with ninja generator. (#8194, thanks @cloudhan!)
  • Suppress warnings-as-errors from external libraries (#8227)
  • Write CMake generator when building (#8239)
  • Add libchainerx_base.a to link chainerx statically (#8247)

Examples

  • Fix WaveNet example not working (#8157, thanks @dhgrs!)
  • Fix generate.py in examples/wavenet (#8172, thanks @dhgrs!)

Tests

  • Simplify F.scale test (#6969, thanks @ishanrai05!)
  • Improve example tests (#7475)
  • Add fp16 test to test_n_step_rnn (#7483)
  • Fix protobuf dependency (#7529)
  • Fix TestAccuracy: Randomly reduce testing parameters (#7820)
  • Support ChainerMN testing in pfnci (#7821)
  • Fix flaky tests of chx.linalg.solve (#7997)
  • Fix overflow warning in div backward test (#8109)
  • Fix flaky TestQR (#8114)
  • Disable flaky test retry in flexCI (#8143)
  • Pairwise testing (#8164)
  • Allow pytest.skip() in combination with testing.repeat/retry (#8174)
  • Remove DummySerializer and DummyDeserializer from iterators_tests (#8176)
  • Fix comparison with casting in hdf5 serializer test (#8182)
  • Relax BatchNormalization backward test tolerances (#8189)
  • Fix caffe test with protobuf>=3.8 (#8190)
  • Add CHAINER_TEST_PAIRWISE_PARAMETERIZATION and enable it only in Travis CI (#8211)
  • Fix attrs package version (#8219)
  • Fix HDF5Serializer test for h5py<2.9 (#8220)
  • Fix flaky TestBatchNormalization (#8230)
  • Relax tolerances in ChainerX unary math tests (#8234)
  • Add "jenkins" extras (#8241)
  • Use clang-format-6.0 if possible and track the version of clang-format (#8242)
  • Remove legacy DeprecationWarning filter from test_multi_node_chain_list (#8246)
  • Fix chainex_tests/unit_tests/routines_tests/test_linalg.py::Inverse (#8255)
  • Fix flaky TestHuberLoss (#8271)
  • Stop setting too small tolerances in backprop tests (#8283)
  • Make ImportWarning just a warning in tests (#8291)
  • Fix gtest linkage (#8292, thanks @cloudhan!)
  • test_average is slow in FlexCI (#8303)
  • Add ChainerX to test_mnist in chainermn_tests (#8305)
  • Implement communicator_test for ChainerX+ChainerMN (#8313)

Others

  • Remove ImportWarning ignore entry (#8186)
  • Add WIN32_LEAN_AND_MEAN definition (#8205, thanks @cloudhan!)
  • Deprecate multinode checkpointer (#8207)
  • Replace Slack invitation links (#8263)
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  • v6.5.0
  • 7152778
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  • v6.5.0
  • 7152778
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@emcastillo emcastillo released this Oct 25, 2019 · 88 commits to v6 since this release

This is the release note of v6.5.0. See here for the complete list of solved issues and merged PRs.

Enhancements

  • Display ChainerX availability in print_runtime_info (#7860)
  • Fix CuPy installation detection error message (#8278)

Bug Fixes

  • Fix __str__ of parameterized class (#8184)

Code Fixes

  • Update variable names for consistent naming convention (#8307)

Documentation

  • Add document print runtime info (#8165)
  • Fix RNN documentation (#8203)
  • Fix a typo in the Cauchy distribution page (#8209, thanks @nzw0301!)

Tests

  • Increase CPU memory for test instance in PFN CI (#7955)
  • Fix overflow warning in div backward test (#8188)
  • Disable flaky test retry in flexCI (#8191)
  • Relax BatchNormalization backward test tolerances (#8196)
  • Fix comparison with casting in hdf5 serializer test (#8198)
  • Fix tests of L.BatchRenormalization and adjust tolerances (#8200)
  • Adjust TestConvolution2DFunction::test_double_backward fp16 tolerance (#8201)
  • Fix attrs version (#8222)
  • Fix caffe test with protobuf>=3.8 (#8232)
  • Relax tolerances in ChainerX unary math tests (#8235)
  • Add Jenkins extras (#8252)
  • Fix HDF5Serializer test for h5py<2.9 (#8256)

Others

  • Replace Slack invitation links (#8284)
Assets 2