Any method to limit the CPU usage of pycaffe compiled with openblas?
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The pycaffe is compiled with openblas.
My pycaffe model occupies more than 20 CPU cores while training, any method to limit that?
machine-learning caffe pycaffe
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The pycaffe is compiled with openblas.
My pycaffe model occupies more than 20 CPU cores while training, any method to limit that?
machine-learning caffe pycaffe
add a comment |
The pycaffe is compiled with openblas.
My pycaffe model occupies more than 20 CPU cores while training, any method to limit that?
machine-learning caffe pycaffe
The pycaffe is compiled with openblas.
My pycaffe model occupies more than 20 CPU cores while training, any method to limit that?
machine-learning caffe pycaffe
machine-learning caffe pycaffe
edited Nov 15 '18 at 6:33
Shai
71.1k23139250
71.1k23139250
asked Nov 14 '18 at 11:23
inkzkinkzk
2261318
2261318
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1 Answer
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Try setting environment variable
OPENBLAS_NUM_THREADS=10
before running pycaffe to restrict openblas to only 10 threads.
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Try setting environment variable
OPENBLAS_NUM_THREADS=10
before running pycaffe to restrict openblas to only 10 threads.
add a comment |
Try setting environment variable
OPENBLAS_NUM_THREADS=10
before running pycaffe to restrict openblas to only 10 threads.
add a comment |
Try setting environment variable
OPENBLAS_NUM_THREADS=10
before running pycaffe to restrict openblas to only 10 threads.
Try setting environment variable
OPENBLAS_NUM_THREADS=10
before running pycaffe to restrict openblas to only 10 threads.
answered Nov 15 '18 at 6:33
ShaiShai
71.1k23139250
71.1k23139250
add a comment |
add a comment |
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