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.
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.