This is the release of v4.0.0b3. See here for the complete list of solved issues and merged PRs.

Highlights

• cupy.random.shuffle performance has been improved. See #603 for details.
• More functions for sparse matrix have been added.

New Features

• Fast shuffle (#603, thanks @anaruse!)
• Implement sum for cupy.sparse (#712)
• Implement conversion to complex scalar (#783, thanks @kohr-h!)
• Support scalar values in atleast_nd (#819)
• Implement size function (#827)
• Implement eliminate_zeros for csc matrix (#831)
• Implement rand for cupy.sparse (#836)
• Implement coo initializer for SciPy sparse matrix (#857)

Improvements

• Accept None in set_allocator and set_pinned_memory_allocator (#885)

Bug Fixes

• Fix repeat that behaved differently from NumPy (#670)
• Fix return type of linalg.norm for complex input (#781, thanks @kohr-h!)
• Fix ctxGetCurrent (#837)
• Make a copy when SVD is calculated (#844)
• Fix memory pool to correctly detect being not established (#856)
• Fix out argument in fusion (#868)
• Fix cupy.size overflow in 32-bit (#883)
• Fix downcast of size in CArray and CIndexer (#892)

Examples

• Add an example of option pricing with multiple GPUs (#513)
• Improve the conjugate gradient example (#852)
• Fix typo (#858, thanks @juniorrojas!)

Documentation

• Add reference to paper (#867)
• Fix docs to use NumPy 1.14 textual representation (#876)
• Fix memory allocator docs (#887)

Installation

• Change NVCC compiler options for CUDA9 (#835, thanks @anaruse!)

Tests

• Import testing/parameterized.py from Chainer (#784)
• Remove unnecessary try catch (#815)