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)