This is the release note of v6.1.0. See here for the complete list of solved issues and merged PRs.
F.batch_renormalization, and related fixes (#7197)Variable.backward (#7208)MultiprocessParallelUpdater to support new devices (#7246)Variable (#7445)get_device error message when ChainerX is not available (#7461)F.convolution_2d (#7499)F.deconvolution_2d (#7500)MultiNodeBatchNormalization (#7254)L.Linear when called with n_batch_axes (#7300)_values_to_dicts so it works with unicode of python 2 too (#7323)Bernoulli.log_prob (#7334, thanks @seiyab!)scatter_dataset and bcast (#7360)WeightDecay aware of loss scale (#7510)F.where (#7532)FunctionTestCase (#7134)backend.get_device_from_array (#7168)F.copy view behavior (#7174)optimizers.MSVAG to documentation (#7193)CommunicatorBase.allgather (#7195)chainerx.md (#7218)chainer.utils.type_check (#7274, thanks @ktns!)F.relu in doc (#7299)F.normalize documentation (#7337, thanks @crcrpar!)static_graph.rst (#7399)test_iter.epoch manually in the tutorial of training loop (#7410)robots.txt to allow indexing root (#7458)F.swish document (#7467, thanks @fiarabbit!)F.normalize documentation (#7482, thanks @crcrpar!)reset method in the PTB example (#7535)CUDA_VISIBLE_DEVICES in ChainerX tests (#7294)test_cuda.py to backends_tests (#7295)0 to 0.0 for python2 (#7508)