We have released Chainer v7.0.0b4. The release note is:
This is the release note of v7.0.0b4. See here for the complete list of solved issues and merged PRs.
Many updates to ChainerX including new routines and support for loss scaling.
F.n_step_rnn
and F.n_step_birnn
(#5808)chainerx.vsplit
to ChainerX (#7032, thanks @ishanrai05!)chainerx.linalg.qr
to ChainerX (#7379, thanks @IvanYashchuk!)chainerx.accuracy
(#7526, thanks @aksub99!)chainerx.{remainder/mod}
(#7675, thanks @sky58!)F.zeta
(#8059, thanks @UmashankarTriforce!)testing.generate_matrix
to get matrices of given singular values (#8077)chainerx.fmod
(#8110)chainerx.nonzero
(#8124)chainerx::ArrayRepr
for large inputs (#7708)FutureWarning
on GPU-to-GPU transfer in StandardUpdater
(#7952)typeid
of kernels in libchainerx
(#7970)variable.Parameter
objects (#8022)ScanKernel
(#8103)MultiprocessIterator
and MultiprocessParallelUpdater
(#7511)mixed16
/float16
GroupNormalization
(#7965)chx::Device
object on ndarray
pickling (#7988)chainerx::Dot
edge cases with empty arrays (#8020)AddAt
implementation for float16 arrays (#8055)fill_value
in constant initializer (#8089)ArrayReprImpl
(#7699)F.batch_normalization
and ChainerMN backend implementations (#8039)-Wabsolute-value
for clang (#8045)NativeCumsumKernel
(#8053)-Wbraced-scalar-init
for clang (#8076)arithmetic.{h,cc}
(#8128)backend.copyto
(#7832)chainerx.to_numpy
(#7984)chainerx.take
indices dtype (#7998)CHAINERX_ENABLE_{BLAS,LAPACK}
(#8099)chainerx.minimum
(#8146)chainerx.maximum
doc (#8147)cblas.h
and modified CMakeLists.txt
(#8052, thanks @okdshin!)CHAINERX_ENABLE_LAPACK=0
causes error (#8086, thanks @cloudhan!)DeprecationWarning
in test_maniplation.py
(#7824)F.max_pooling_2d
test (#7924)negative_sampling
(#7975)F.lstm
test parameterization (#7987)gradient_check
test (#7989)TrueDiv
tolerances (#8047)L.BatchRenormalization
and adjust tolerances (#8080)h5py.File
mode
(#8090)np.empty
(#8096)PseudoInverse
test (#8102)test_normal.py
(#8111)ignore::ImportWarning
to setup.cfg
(#8131)fix_random
decorator to be used with OpTest
(#8136)NStepRNN
and NStepBiRNN
(#8142)empty
in F.cast
test that can cause overflow warning (#8152)TestConvolution2DFunction::test_double_backward
fp16 tolerance (#8163)setup.cfg
(#8154)