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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.
The text was updated successfully, but these errors were encountered:
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.
The text was updated successfully, but these errors were encountered: