modify im2col.cpp into a multi-thread version #397
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Nice idea, in general is better to PR against |
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Yes, I will PR to |
beniz
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Jan 25, 2017
added compute capabilities for latest GPUs
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When training ImageNet model on CPU,
ConvolutionLayer<Dtype>::Forward_cpuandConvolutionLayer<Dtype>::Backward_cpuoccupy about 80% time, andim2col_cpu+col2im_cpuoccupy 30%~50% time of ConvolutionLayer, thus, we modify im2col.cpp into a multi-thread version.We test out modified version on our 4-physical-core machine, if we create 4 pthreads, we can decrease 50% time of
im2col_cpu+col2im_cpu. And you can define your THREAD_NUM based on the physical core number of your machine.