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AutoBatch protect from extreme batch sizes #9209

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Aug 29, 2022
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4 changes: 2 additions & 2 deletions utils/autobatch.py
Original file line number Diff line number Diff line change
Expand Up @@ -60,8 +60,8 @@ def autobatch(model, imgsz=640, fraction=0.9, batch_size=16):
i = results.index(None) # first fail index
if b >= batch_sizes[i]: # y intercept above failure point
b = batch_sizes[max(i - 1, 0)] # select prior safe point
if b < 1: # zero or negative batch size
b = 16
if b < 1 or b > 1024: # b outside of safe range
b = batch_size
LOGGER.warning(f'{prefix}WARNING: ⚠️ CUDA anomaly detected, recommend restart environment and retry command.')

fraction = np.polyval(p, b) / t # actual fraction predicted
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