Any method to limit the CPU usage of pycaffe compiled with openblas?
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
69.6k22136243
69.6k22136243
asked Nov 14 '18 at 11:23
inkzkinkzk
2061217
2061217
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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
69.6k22136243
69.6k22136243
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