```
pread_list = []
model.eval()
with torch.no_grad():
for i in test_data:
image = Image.open(i)
image = transform(image)
image = image.unsqueeze(0)
image = image.to(device)
output = model(image)
preds = torch.max(output, 600, 600)#, dim=1)[:, 1].tolist()
#id_list.append(_id)
#pred_list.append(preds[0])
```

TypeError Traceback (most recent call last)

Input In [12], in <cell line: 3>()

9 image = image.to(device)

10 output = model(image)

—> 11 preds = torch.max(output, 600, 600)

TypeError: max() received an invalid combination of arguments - got (list, int, int), but expected one of:

- (Tensor input)
- (Tensor input, Tensor other, *, Tensor out)
- (Tensor input, int dim, bool keepdim, *, tuple of Tensors out)
- (Tensor input, name dim, bool keepdim, *, tuple of Tensors out)