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pytorch recipe #6

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escorciav opened this issue May 11, 2019 · 0 comments

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escorciav commented May 11, 2019 •

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Create your own layer (forward&backward)

(within python)

numpy/scipy, check documentation/tutorial.
cupy
For GPU acceleration.
numpy operations. use dlpack as bridge.
Porting existing kernel as a string. example
numba.
speed-up cpu forward&backward.
write cuda kernel within python. example
suggestions from numba-core-dev.
cython
speed-up CPU forward&backward.

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