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v7.0.0b1

Pre-release
Pre-release
@hvy hvy released this
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This is the release note of v7.0.0b1. See here for the complete list of solved issues and merged PRs.

Highlights

Host to device copy from NumPy ndarrays is now allowed as an experimental feature with the syntax cupy_array[:] = numpy_array. Set the environment variable CUPY_EXPERIMENTAL_SLICE_COPY to try it out.

Notes

  • Tensor Core in cuDNN convolution is tentatively disabled for Turing GPUs due to some test failures. The issue is under investigation and hopefully fixed in a future version.

New Features

Enhancements

  • Improve atomicAdd in histogram and sample (#1345)
  • Set current device in cupy.ndarray.get()/set() (#2169, thanks @hyabe!)
  • Improve out-of-memory error message (#2242)
  • Simplify _prepare_multiple_array_indexing (#2254)
  • Fix _preprocess_args to avoid calling hasattr (#2256)
  • Add constant modification to vector_equal (#2257)

Performance Improvements

  • Optimize the initialization of List[ndarray] in cupy.array (#2081)

Bug Fixes

  • Revert "Fix usage check of Tensor Core" (#2197)
  • Fix power for large integrals (#2204)
  • Avoid division by zero in tensordot, allowing 0-length arrays (#2209, thanks @pentschev!)
  • Make RandomState.permutation compatible with random.permutation (#2250)

Code Fixes

  • Coding style fix (#2211)

Documentation

  • Add cupy-cuda101 to README (#2196)
  • Fix: duplicate object description of cupy (#2233)

Installation

  • Add setup option to copy include files in wheel (#2208)
  • Bump version to v7.0.0b1 (#2266)

Tests

  • Ignore invalid axis type test in NumPy 1.12.x or earlier (#2192)

Others

  • Fix array_split with non-equally dividing sections (#2207)