v7.0.0a1

This is the release note of v7.0.0a1. See here for the complete list of solved issues and merged PRs.

Highlights

• CuPy memory pool now supports setting hard-limit quota for the amount of GPU memory allocated. Refer to the reference for the details.

New Features

• Support cuDNN CTC functions (#1769, thanks @aonotas!)
• Support NHWC format in convolution (#1885)
• Add hostRegister and hostUnregister (#2102)
• Implement limit to memory pool (#2113)
• Add strides_check option in array testing functions (#2150)

Enhancements

• Fix ascontiguousarray with 0-dim array input (#2078)
• Emit kernel names with type names (#2151)
• Support complex dtypes in cupy.where (#2175, thanks @AntoineDujardin!)

Bug Fixes

• Fix __cuda_array_interface__ data pointer for sliced arrays (#2129, thanks @pentschev!)
• Fix usage check of Tensor Core (#2168)
• Avoid using Tensor Core with cuDNN deterministic mode in convolution backward (#2174)

Code Fixes

• Avoid unnecessary weak pointer for null stream (#1539)
• Avoid PyThread in stream.pyx (#1945)
• Add a comment to the testing condition of einsum (#2131)
• Fix style (#2167)

Documentation

• Add upgrade guide for v6 (#2182)

Installation

• Fix compile error on CUDA 10.1 and GCC 7 or 8 (#2147, thanks @grafi-tt!)

Examples

• Make k-means example's custom kernels simpler (#2145)
• Make k-means sample code cleaner for educational purpose (#2146)

Tests

• Fix testing condition of diff and unwrap (#2124)
• Add a test for assert_array_equal(strides_check=True) (#2156)
• Fix test failure when cudnn is unavailable (#2161)