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上传时间: 2020-04-15
详细说明：CuPy is an implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of cupy.
ndarray, the core multi-dimensional array class, and many functions on it. It supports a subset of numpy.
ndarray interface.
The following is a brief overview of supported subset of NumPy interface:
• Basic indexing (indexing by ints, slices, newaxes, and Ellipsis)
• Most of Advanced indexing (except for some indexing patterns with boolean masks)
• Data types (dtypes): bool_, int8, int16, int32, int64, uint8, uint16, uint32, uint64,
float16, float32, float64, complex64, complex128
• Most of the array creation routines (empty, ones_like, diag, etc.)
• Most of the array manipulation routines (reshape, rollaxis, concatenate, etc.)
• All operators with broadcasting
• All universal functions for elementwise operations (except those for complex numbers).
• Linear algebra functions, including product (dot, matmul, etc.) and decomposition (cholesky, svd, etc.),
accelerated by cuBLAS.
• Reduction along axes (sum, max, argmax, etc.)
CuPy also includes the following features for performance:
• User-defined elementwise CUDA kernels
• User-defined reduction CUDA kernels
• Fusing CUDA kernels to optimize user-defined calculation
• Customizable memory allocator and memory pool
• cuDNN utilities
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