Comments (2)
beniz
commented on May 10, 2024
Two points:
- leak is only visible with GPU
- in CPU-only mode, valgrind reports no leak
- in GPU-only mode, valgrind reports large chunks held by CUDA (libcuda.so), this is also visible while running with
nvidia-smi.
Typical used memory values on a 4GB GPU during a run:
before start: 152MB
training start: 198MB
training: 589MB
training finished, net is up for prediction: 436MB
service destruction: 200MB
server termination: 152MB
Caffe is allocating some GPU data and not releasing it or there's a way to clear the GPU memory overhead after using it within a net with Caffe.
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beniz
commented on May 10, 2024
There were a stream of recent changes in Caffe memory allocation and I cannot reproduce this issue anymore. Closing for now.
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