torch.Tensor¶| pytorch.org
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being mo...| arXiv.org
Source code: Lib/typing.py This module provides runtime support for type hints. Consider the function below: The function surface_area_of_cube takes an argument expected to be an instance of float,...| Python documentation