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Support CUDA stream with stream memory pool #306
Support CUDA stream.
import cupy as cp x_gpu = cp.array([1, 2, 3]) with cp.cuda.stream.Stream(): y_gpu = cp.linalg.norm(x_gpu) stream = cp.cuda.stream.Stream() stream.use() y_gpu = cp.linalg.norm(x_gpu)
To support CUDA stream, this PR changes memory pool, too.
Note that cudaMalloc is issued on default stream always.
I am struggling to resolve this, but I have no clue how to resolve this issue.
I've debugged sphinx. sphinx has
So, another way (one way is to use python >=3.4 ) to avoid is not to treat warnings as error with a change:
This is another problem, but I noticed that number of doctests were increased as:
EDIT: hmm, looks