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Update bytes to GB with bitshift (#6886)

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Glenn Jocher authored and GitHub committed 2022-03-07 19:26:37 +01:00
1 parent acc58c1dcf
commit e6e36aac10
4 files changed
+11 -10
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utils/autobatch.py
+4 -3
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@@ -34,11 +34,12 @@ def autobatch(model, imgsz=640, fraction=0.9, batch_size=16):
LOGGER.info(f'{prefix}CUDA not detected, using default CPU batch-size {batch_size}')
return batch_size
gb = 1 << 30 # bytes to GiB (1024 ** 3)
d = str(device).upper() # 'CUDA:0'
properties = torch.cuda.get_device_properties(device) # device properties
t = properties.total_memory / 1024 ** 3 # (GiB)
r = torch.cuda.memory_reserved(device) / 1024 ** 3 # (GiB)
a = torch.cuda.memory_allocated(device) / 1024 ** 3 # (GiB)
t = properties.total_memory / gb # (GiB)
r = torch.cuda.memory_reserved(device) / gb # (GiB)
a = torch.cuda.memory_allocated(device) / gb # (GiB)
f = t - (r + a) # free inside reserved
LOGGER.info(f'{prefix}{d} ({properties.name}) {t:.2f}G total, {r:.2f}G reserved, {a:.2f}G allocated, {f:.2f}G free')