A flexible framework of neural networks for deep learning
This release fixes an issue in v7.8.1 that documentation cannot be built on ReadTheDocs. No code changes are added since v7.8.1 release.
This is the release note of v7.8.1. See here for the complete list of solved issues and merged PRs.
This minor release allows importing Chainer with CuPy v10+ environment. Note that we still encourage Chainer v7 users to stay with CuPy v7.8.0 & CUDA 10.2 or earlier & cuDNN v7.6 if you don't have strong reasons to upgrade. A warning message will be shown if you run Chainer v7 with CuPy v8 or later, but you can disable it by setting the CHAINER_WARN_VERSION_MISMATCH=0 environment variable.
As announced previously, Chainer is under the maintenance phase. There are no further planned releases for Chainer v7 series.
This is the release note of v7.8.0. See here for the complete list of solved issues and merged PRs.
For those who need to run Chainer on CUDA 11.1+, this release provides "limited" support for CuPy v8/v9. We confirmed that basic tests and examples run fine, but we still encourage Chainer v7 users to stay with CuPy v7.8.0 & CUDA 10.2 or earlier & cuDNN v7.6 if you don't have strong reasons to upgrade. A warning message will be shown if you run Chainer v7 with CuPy v8 or later, but you can disable it by setting the new CHAINER_WARN_VERSION_MISMATCH=0 environment variable. Please also understand that CuPy v10 is not compatible with Chainer.
As announced previously, Chainer is under the maintenance phase. There are no further planned releases for Chainer v7 series.
CHAINER_WARN_VERSION_MISMATCH environment variable (#8588)chainer.testing requiring pytest installed (#8611)cupy.cuda.cudnn first to show preload warning (#8605)cotiguousness -> contiguousness (#8595, thanks @timgates42!)cupy-cuda110 (#8580)[jenkins] requirement (#8585)pytest.PytestUnknownMarkWarning (#8599)skip condition (#8607)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.
spawn and forkserver start method in PickleDataset (#8465, thanks @zaltoprofen!)create_multi_node_evaluator (#8568)Reporter example (#8561)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.
concat_arrays to be pickable (#8549)start_methods other than fork on MultiprocessParallelUpdater (#7552)backend.copyto for mismatched dtypes to CuPy ndarray (#8043)optimizer.use_fp32_update on ChainerX model (#8382, thanks @y1r!)local_convolution_2d result shape documentation (#8553, thanks @msakai!)functions.rst (#8557, thanks @husisy!)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.
cupy-cuda102 (#8544)beta with static_code on F.BatchNormalization.forward (#8325)This is the release note of v7.1.0. See here for the complete list of solved issues and merged PRs.
NStepRNN (#8489)n_step_gru function on exporting ONNX (#8492, thanks @msakai!)TransposeSequence converter to support more cases (#8493, thanks @msakai!)NStepGRU link converter example to ONNX-Chainer test (#8494, thanks @msakai!)patch_functions to patch functions in modules other than chainer.functions (#8495, thanks @msakai!)n_fold with n_folds (#8516, thanks @Saanidhyavats!)IndexIterator for ChainerX CUDA (#8360)CooMatrix.to_dense for duplicate indices (#8187)try/finally block to yield in reporter.py (#8508)chainer.functions.rnn.* (#8454, thanks @msakai!)chainermn.extension -> chainermn.extensions (#8526, thanks @msakai!)chainer>=7.0.0 in python2 (#8517, thanks @knorth55!)observation_aggregator (#8384)TestZeta (#8514)TestCholesky (#8520)chainerx.fromfile test when dtype is bool_ and mode is text (#8521)FunctionTestCase to test F.decov (#8522)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.
reporter.py (#8511)chainer.functions.rnn.* (#8530, thanks @msakai!)FunctionTestCase to test F.decov (#8523)chainerx.fromfile test when dtype is bool_ and mode is text (#8524)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.
insert on Sequence (#6374)setup/tear-down method names in testing.fix_random (#8432)F.mean_absolute_error for FP16 (#6807)F.accuracy (#7396)from_params to Linear & Conv (#7525, thanks @crcrpar!)FunctionNode.forward output type message (#7655)Take (#8281)chainerx::MakeArray in some case (#8296)ValueError when calling xxx_obj with ChainerX array in ChainerMN (#8320)Permutate exporter to onnx_chainer (#8333, thanks @msakai!)SoftmaxCrossEntropy (#8347)chainerx::AddAt as a public function (#8351)cover_all=True on Unpooling2D in exporting to ONNX (#8391)ceiling_mode on exporting to ONNX MaxPool (#8392)onnx_chainer.replace_func.fake_as_funcnode to reconstruct return value structure (#8398, thanks @msakai!)Rollaxis in ONNX-Chainer (#8428, thanks @tkanmae!)SelectItem in ONNX-Chainer (#8450, thanks @tkanmae!)TransposeSequence exporter to ONNX-Chainer (#8451, thanks @msakai!)__name__ attribute in parameterized test names when available (#8455, thanks @grlee77!)SelectItem using GatherElements for ONNX opset>=11 (#8470)RuntimeError when using cudnn_fast without cudnn (#8499)chainerx::AddAt faster (#8299)F.accuracy with ignore_label (#8364, thanks @y1r!)AttributeError in WrappedFunctionNode.forward (#8397, thanks @msakai!)GetItem converter to handle -1 correctly (#8460, thanks @msakai!)chainerx.batch_norm with 2D input on CUDA (#8464)BatchNormalization for NHWC without cudnn (#8497)routines/indexing.h (#8288)_snapshot.py (#8297)VariableNode in F.convolution_2d backward implementation (#8395)cholesky and eigh (#8312)NStepGRUBase (#8330, thanks @msakai!)/examples/seq2seq/README.md (#8399, thanks @tanaken0515!)scatter_dataset part of ChainerMN tutorial (#8406)type_check errors (#8407)CHAINERX_NVCC_GENERATE_CODE (#8370)PYBIND11_EXPORT instead of visibility hack (#8437)CMakeLists.txt (#8440)MultiprocessParallelUpdater example (#7478)insert on Sequence (#6374)test_Meshgrid (#8285)multi_node_early_stopping (#8321).git in ChainerCV compatibility CI (#8331)SoftmaxCrossEntropy test tolerances (#8335)chainerx.where test (#8342)LinkTestCase for L.GroupNormalization (#8343)F.cast test (#8363)FunctionTest modified input error (#8367)chainerx.linalg.* (#8371)TestTriplet (#8376)test_allreduce_persistent.py (#8412)fix_random in xfail backward tests (#8419)TestMeshgrid (#8420)test_checkpoint.py (#8429)test_create_mnbn_model (#8435)multi_node_optimizer (#8436)Convolution2D tests for older numpy versions (#8458)parametrize_device_name to setup.cfg (#8459)F.cholesky test (#8469)cupy.util.PerformanceWarning in pytest (#8471)_modified_xlogx (#8483)array_utils.uniform to be deterministic with fix_random by default (#8491)