This is the release note of v5.2.0. See here for the complete list of solved issues and merged PRs.

Highlights

• CuPy now runs without CUDA development headers if you are using CUDA 9.2 or 10.0.
• Improved compatibility with NumPy 1.16.

New Features

• Add cupyx.scipy.sparse.diags (#1865, thanks @grlee77!)
• Support New APIs in cuDNN v7.4.1 (#1893)

Enhancements

• Bundle CUDA fp16 headers (#1858)
• Support for documenting NCCL interfaces (#1868)
• Verbose broadcast failure message (#1875)
• Support NumPy arrays as seeds in RandomState (#1882, thanks @mrocklin!)
• Use item instead of asscalar to support NumPy 1.16 (#1895)
• Use LF instead of CR+LF (#1920)
• Support NumPy 1.16 (#1923)

Performance Improvements

• Fix ufunc performance degradation (#1929)

Bug Fixes

• Fix backward of batch normalization (#1860)
• Check if cx is None (#1863)
• Fix RecursionError bug in conj method of sparse matrix classes (#1922, thanks @grlee77!)
• Fix ndarray initialization bug (#1927)
• Fix ndim not using cdef (#1939)
• Ensure the input to the CUFFT Plan1D class is C contiguous (#1964, thanks @grlee77!)

Code Fixes

• Clean up internal.pyx (prod) (#1960)

Documentation

• Update docs for newly supported libraries (#1855)
• Fix stylecheck installation in contribution guide. (#1876, thanks @crcrpar!)
• Add memory management documentation (#1877)
• Align with the latest numpy docs (#1878)
• Rename Code of Conduct filename (#1963)

Tests

• Add tests for complex min and max (#1859)
• Fix randint high value in test for Windows (#1902)

Others

• Ignore W503 and W504 (#1957)