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When I use autograd, I found there is memory leak bug. Even with
gc.collect() torch.cuda.empty_cache()
The allocated memory is still growing with the increments of iteration.
logging.info("memory_allcoated(MB) {}".format(torch.cuda.memory_allocated()/1048576))
I believe you have noticed the similar bug, could you provide me some solutions?
The text was updated successfully, but these errors were encountered:
Do you have a minimal working example, and your PyTorch version?
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When I use autograd, I found there is memory leak bug. Even with
The allocated memory is still growing with the increments of iteration.
logging.info("memory_allcoated(MB) {}".format(torch.cuda.memory_allocated()/1048576))
I believe you have noticed the similar bug, could you provide me some solutions?
The text was updated successfully, but these errors were encountered: