PyTorch Pocket Reference by Joe Papa

Author:Joe Papa [Joe Papa]
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2021-08-25T00:00:00+00:00

torch.load(f)

Loads a tensor from a serialized pickle file

torch.save(f)

Saves a tensor to a serialized pickle file

The PyTorch documentation contains a complete list of functions for creating tensors as well as more detailed explanations of how to use them. Here are some common pitfalls and additional insights to keep in mind when creating tensors.

Most creation functions accept the optional dtype and device parameters so you can set these at creation.

You should use torch.arange() in favor of the deprecated torch.range() function. Use torch.arange() when the step size is known. Use torch.linspace() when the number of elements is known.

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