I have recently started using pytorch and have written a few working models. Now i have 2 models that did not work at all and in inference only output something that looked like noise. I have now fixxed the problem by changing my data transform to Tensor from transform.PILToTensor to transforms.ToTensor and now i wanted to know what the actual difference between these two functions is as i do not see the difference in the documentation.
PILToTensor transforms a
PIL.Image to a PyTorch tensor of the same
ToTensor normalizes the tensor to
[0, 1] and will return a
Usually normalized/standardized tensors are preferred while training a model as the convergence often benefits from it.