FP16 test loss bug fix

pull/1/head
Glenn Jocher 5 years ago
parent a1748a8d6e
commit 0b514daced

@ -104,7 +104,7 @@ def test(data,
# Compute loss
if training: # if model has loss hyperparameters
loss += compute_loss(train_out, targets, model)[1][:3] # GIoU, obj, cls
loss += compute_loss([x.float() for x in train_out], targets, model)[1][:3] # GIoU, obj, cls
# Run NMS
t = torch_utils.time_synchronized()

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