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resolved the error

pull/13483/head
Bala-Vignesh-Reddy 2025-01-08 20:30:45 +05:30
parent 1fbde181d4
commit 4a8e374ddf
1 changed files with 2 additions and 10 deletions
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12
train.py
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@ -352,15 +352,7 @@ def train(hyp, opt, device, callbacks):
maps = np.zeros(nc) # mAP per class
results = (0, 0, 0, 0, 0, 0, 0) # P, R, mAP@.5, mAP@.5-.95, val_loss(box, obj, cls)
scheduler.last_epoch = start_epoch - 1 # do not move
<<<<<<< HEAD
scaler = torch.amp.GradScaler(enabled=device.type != "cpu")
=======
# checking if autocast is available
device_amp = torch.is_autocast_available(device_type=device.type)
scaler = torch.amp.GradScaler(enabled=(device_amp and device.type != "cpu"))
>>>>>>> 5d03fd8cdd44ce49148653ba4ea874d9cd41a832
scaler = torch.amp.GradScaler("cuda", enabled=amp) #updated
stopper, stop = EarlyStopping(patience=opt.patience), False
compute_loss = ComputeLoss(model) # init loss class
callbacks.run("on_train_start")
@ -417,7 +409,7 @@ def train(hyp, opt, device, callbacks):
imgs = nn.functional.interpolate(imgs, size=ns, mode="bilinear", align_corners=False)
# Forward
with torch.amp.autocast(device_type=device.type, enabled=True):
with torch.amp.autocast("cuda", enabled=amp):
pred = model(imgs) # forward
loss, loss_items = compute_loss(pred, targets.to(device)) # loss scaled by batch_size
if RANK != -1: