r"""Inject some information about the relative or absolute position of the tokens in the sequence. The positional encodings have the same dime

r"""Inject some information about the relative or absolute position of the tokens in the sequence. The positional encodings have the same dime

pytorch's CrossEntropyLoss is fussy: 1) needs Long (int64) targets only, and 2) only 1D. This function satisfies these requirements

Class for printing output by refreshing the same line in the console, e.g. for indicating progress of a process

Class to save the best model while training. If the current epoch's validation loss is less than the previous least less, then save the m