Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.

Current pytorch implementation ignores the argument split_f in the function train_batch_ch13 as shown below.

def train_batch_ch13(net, X, y, loss, trainer, devices):
    if isinstance(X, list):
        # Required for BERT Fine-tuning (to be covered later)
        X = [x.to(devices[0]) for x in X]
    else:
        X = X.to(devices[0])
...

Todo: Define the argument `

The operators in functional_tensor.py perform casting in two ways:

• Using the tensor.to(dtype=dtype) PyTorch method
• Using the convert_image_dtype() Transformation method

The first method does direct casting from one type to the other. The latter method has mo