This is the release note of v8.1.0. See here for the complete list of solved issues and merged PRs.

Highlights

CUDA 11.1 Support

Support for CUDA 11.1 is added in #4184, with CUDA 11.1, GeForce RTX 30 series and Quadro RTX series can now be used in CuPy.

Notes on Wheel Packages

Update (2020-11-25): cupy-cuda111 is now available on PyPI.
CuPy for CUDA 11.1 (cupy-cuda111) wheel packages are currently only available for Windows. We are going to publish Linux wheels once we get approval from the PyPI team. Meanwhile, Linux wheels can be downloaded from the Assets section below (or pip install cupy-cuda111 -f https://github.com/cupy/cupy/releases/tag/v8.1.0).

New Features

• Add sparse pointwise equality & inequality functions (#4004)
• Add cudaGetDeviceProperties (#4103)
• Add order option in cupy.testing.shaped_random (#4104)
• Add support for CUDA 11.1 (#4191)

Enhancements

• Bump cuDNN to v8.0.4 (#4069)
• Show numpy and scipy versions in show_config (#4079)
• Support pickling cupy.RawKernel (#4154)

Bug Fixes

• Fix csr2csc for zero-size matrix (#3922)
• Add a kernel for integer GEMM (#4067)
• Fix potential segfault when reduction axis is empty (#4068)
• Workaround cudaPointerGetAttributes error in CUDA 10.2+ (#4089)
• Add work-around for issue in cutensorReduction of cuTENSOR 1.2.1 (#4098)
• Fix argmax and argmin for F-order inputs (#4106)
• Fix CUB block reduction for F-order arrays with ndim > 2 (#4109)
• ROCm: Fix getDeviceProperties for HIP (#4113)
• Fix argmax/argmin in CUB block reduction for F-order arrays with ndim > 1 (#4115)
• Fix typos in cupy.cuda.cufft (#4117)
• Handle np.nan and np.inf constant values properly in ndimage functions (#4133)
• Fix 64-bit int types in type_dispatcher.cuh (#4134)
• Add compute_35 for CUDA 11.0+ (#4140)
• Fix device properties for cuda 9.2 (#4152)
• fix mode='opencv' case in cupyx.scipy.ndimage.affine_transform (#4158)
• Fix argwhere for 0d inputs (#4174)
• Fix to use current stream properly with CUDA-related libraries (#4175)
• Add compute capability checking for cublasGemmEx() (#4180)
• Fix cupyx.seterr() when linalg not supplied (#4189)
• Fix nonzero for 0d inputs (#4190)

Code Fixes

• Rename submodules under cupyx.scipy.sparse (#3959)
• Rename submodule under cupy.fft package (#4066)
• Hide private names in cupy.cusolver (#4076)
• Move _normalize_axis_index to cupy/core/internal.pyx (#4086)
• Rename cupyx.rsqrt submodule (#4116)
• Rename submodules under cupyx.scipy.special (#4119)
• Move matmul from core.pyx to _routine_linalg.pyx (#4123)
• Hide private names in cupy.cutensor (#4147)
• Rename cupy.manipulation submodule to cupy._manipulation (#4181)
• Rename cupy.io submodule to cupy._io (#4183)
• Rename submodule under cupyx.scipy.fft (#4186)
• Rename submodules under cupy.linalg package (#4187)

Documentation

• Fix typo (#4056)
• Update README and docs for a unified tagline (#4074)
• Improve the plan cache documentation (#4087)
• Simplify ROCm install guide (#4128)

Installation

• Add CUDA_VERSION define for Cython compilation (#4035)

Tests

• Require SciPy 1.2 for sparse comparison (#4041)
• Make parameterized dtype test skip by pytest.skip (#4179)
• Code fix on tests for cupyx.scipy.ndiamge stats functions (#4182)
• Fix tests that have side effects (#4185)

HIP/ROCm

• ROCm: Fix bugs and test suites to make ROCm/HIP happy - Part 2 (#4063)
• ROCm: Build on the latest ROCm (#4126)

Others

• Bump version to v8.1.0 (#4195)

Contributors

The CuPy Team would like to thank all those who contributed to this release!

@anaruse @garanews @grlee77 @leofang