Assume I have `x = torch.rand(2,50)` and `y = torch.rand(3,50)` and I have a tensor of trainable parameters p with size 50.
How can I use `torch.nn.utils.rnn.pad_sequence` or any other torch function to be able to create a `2*3*50` tensor where the padding_value is the tensor p?
`torch.nn.utils.rnn.pad_sequence([x,y], batch_first=False, padding_value=p)`