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get cuda memory pytorch

t = torch.cuda.get_device_properties(0).total_memory
r = torch.cuda.memory_reserved(0)
a = torch.cuda.memory_allocated(0)
f = r-a  # free inside reserved
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cuda memory in pytorch

from pynvml import *
nvmlInit()
h = nvmlDeviceGetHandleByIndex(0)
info = nvmlDeviceGetMemoryInfo(h)
print(f'total    : {info.total}')
print(f'free     : {info.free}')
print(f'used     : {info.used}')
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