This is the release note of v6.0.0rc1. See here for the complete list of solved issues and merged PRs.

Highlights

• CUDA 10.1 and cuDNN 7.5 are now supported. CuPy also starts to compile for compute capability 7.5 for Turing GPUs.
• After this release, the master branch is switched to the development of v7 series. v6.0.0 will continue developing at the v6 branch.

New Features

• New RNN API introduced in cuDNN v7.2 (#1609)
• Add diff and unwrap (#1933, thanks @a2kiti!)
• Support fusion feature of copyto method (#1983)
• Add lu_factor and lu_solve to cupyx.scipy.linalg (#2051, thanks @msakai!)

Enhancements

• More support __cuda_array_interface__ (#2058)
• Fix fp16 issue in batch normalization (#2060)
• Keep backward compatibility on cupy.cudnn.batch_normalization_forward_training (#2072)
• Check if gc module is still available (#2116)
• Support CUDA 10.1 + cuDNN 7.5 + Turing (#2117)

Performance Improvements

• Do exact type comparison instead of isinstance for numpy.dtype (#2016)
• Improve _routines_manipulation (#2038)

Bug Fixes

• Fix assigning from complex to float (#1911)
• Ensure that sparse matrix shapes are always a tuple of int (#1943, thanks @grlee77!)
• Avoid sharing handles between threads (#2053)
• Check array contiguity in copy (#2075)
• Support dltensor with strides of NULL (#2097, thanks @crcrpar!)
• Fix assertion error in _Chunk.split (#2103, thanks @liwt31!)

Code Fixes

• Use single quote (#2049)
• Use assert in helper.py instead of self.assertXXX (#2077)
• Remove unused variable (#2105, thanks @crcrpar!)
• Reorganize import in device.pyx (#2121)

Documentation

• Document __array_function__ (#1979)
• Add NCCL v2.4 support to docs (#2065)
• Add strides to docstring of ndarray (#2096, thanks @crcrpar!)

Installation

• Use deep copy in setting up RPATH (#2073)

Tests

• Do not fail by warnings when building docs (#2080)
• Test linalg.cholesky with more stable inputs (#2084)