This is the release of CuPy v3.0.0a1. See here for the complete list of solved issues and merged PRs.

New features

• Memory pool is now used as the default allocator even if CuPy is used without Chainer (#472).
• Add line memory profiler using memory hook and traceback (#265)
• Add cuDNN support for dropout. (#479)
• Add cudnnGetTensor4dDescriptor for fp16 BatchNormalization support in Chainer (#492, thanks @anaruse!)
• Add Tensor-Core support (cuDNN and cuBLAS) (#494 and #495, thanks @anaruse!)
• Add window functions (#555, thanks @ishihara1989!)
• Add cupy.sparse.random (#557)
• Add cupy.argpartition (#294)

Bug fixes

• Fix multithread problem in PooledMemory (#480)
• Resolve dealloc problem and multithread problem in PinnedMemory (#481)
• Fix cupy.nonzero for corner cases (#498)
• Fix simple reduction for corner cases (#499)
• Fix broadcast for corner cases (#543)
• Fix broadcast_arrays return type (#545)
• Avoid using global state in RandomState.choice (#556)
• Fix csrmm2 to support transa (#565)
• Fix csrmv (#571)
• Avoid using dtype option in numpy.random.randint which is introduced in NumPy v1.11 (#574)

Improvements

• Fix get_array_module to be aware of spmatrix (#568)
• Use vector to improve free memory searching in malloc (#476)
• Fix Cython warning on variable declaration (#491)
• Check kernel name validity (#522)
• Show NVRTC error code (#531)
• Optimize RandomState.interval (#559)
• Fix random.normal double memory consumption (#562)

Installation

• Import memory_hooks (#502)
• Avoid Cython 0.27.0 (#550)
• Change minimum Cython version to 0.26.1 (#365, #530, #548)
• Support NVCC environment variable (#501)

Documentation

• Fix documentation of fusion functions (#497)
• Add documentation of cupy.all and cupy.any function (#511)
• Correct URLs in documentation (#547)
• Fix typo (#614, thanks @fukatani!)

Examples

• Add an example of option pricing using Black-Scholes equation (#473)