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Cuda out of memory when use memory efficient densenet for deploying #44

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JannaShen opened this issue Jan 30, 2018 · 1 comment
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@JannaShen
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WARNING: Logging before InitGoogleLogging() is written to STDERR
F0129 15:24:34.494936 153936 DenseBlock_layer.cu:203] Check failed: error == cudaSuccess (2 vs. 0) out of memory
*** Check failure stack trace: ***
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0129 18:17:47.501026 32543 syncedmem.cpp:71] Check failed: error == cudaSuccess (2 vs. 0) out of memory
*** Check failure stack trace: ***

When i deploy the trained model with memory efficient densenet with matlab, i always counter this problem . I think it will be solved to reset cuda memory after each time calculation, can you give me some advice to solve this problem.

@JannaShen
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so for the caffe version of efficient densenet, need to delete the named Cuda memory after each deployment .

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