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Update train.py 

updated deprecated call

Signed-off-by: Shubham Phapale <94707673+ShubhamPhapale@users.noreply.github.com>
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Shubham Phapale 2025-01-22 22:06:30 +05:30 committed by GitHub
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commit c29e1d62e3
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train.py
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@ -409,7 +409,7 @@ def train(hyp, opt, device, callbacks):
imgs = nn.functional.interpolate(imgs, size=ns, mode="bilinear", align_corners=False) imgs = nn.functional.interpolate(imgs, size=ns, mode="bilinear", align_corners=False)
# Forward # Forward
with torch.cuda.amp.autocast(amp): with torch.amp.autocast('cuda', amp):
pred = model(imgs) # forward pred = model(imgs) # forward
loss, loss_items = compute_loss(pred, targets.to(device)) # loss scaled by batch_size loss, loss_items = compute_loss(pred, targets.to(device)) # loss scaled by batch_size
if RANK != -1: if RANK != -1: