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PyTorch
...PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem....
https://pytorch.org/

Get Started - PyTorch
...Set up PyTorch easily with local installation or supported cloud platforms....
https://pytorch.org/get-started/locally/

Previous PyTorch Versions
...Access and install previous PyTorch versions, including binaries and instructions for all platforms....
https://pytorch.org/get-started/previous-versions/

Welcome to PyTorch Tutorials ? PyTorch Tutorials 2.12.0+cu130 documentation
...Pruning Tutorial Learn how to use torch.nn.utils.prune to sparsify your neural networks, and how to extend it to implement your own custom pruning technique....
https://docs.pytorch.org/tutorials/index.html

torch.nn.functional.scaled_dot_product_attention
...All implementations are enabled by default. Scaled dot product attention attempts to automatically select the most optimal implementation based on the inputs. In order to provide more fine-grained control over what implementation is used, the following functions are provided for enabling and disabling implementations. The context manager is the preferred mechanism:...
https://docs.pytorch.org/docs/2.12/generated/torch.nn.functional.scaled_dot_product_attention.html

Accelerating Generative AI with PyTorch: Segment Anything, Fast
...Throughout, we showcase our new PyTorch features: torch.compile, SDPA, Triton kernels, Nested Tensor and semi-structured sparsity. The following sections are progressively built upon each other, ending with our SAM-fast, now available on Github....
https://pytorch.org/blog/accelerating-generative-ai/

How does the @ sign work in this instance? - PyTorch Forums
...I don?t understand why this code snippet gives the output it gives. Can you explain the math behind this or post a link to someplace explaining higher dimensional matrix multiplication? Thanks! A = torch.randn (1, 64, 11?...
https://discuss.pytorch.org/t/how-does-the-sign-work-in-this-instance/11232

torch ? PyTorch 2.12 documentation
...The torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient serialization of Tensors and arbitrary types, and other useful utilities....
https://docs.pytorch.org/docs/2.12/torch.html

What is torch.nn really? ? PyTorch Tutorials 2.12.0+cu130 documentation
...Then, we will incrementally add one feature from torch.nn, torch.optim, Dataset, or DataLoader at a time, showing exactly what each piece does, and how it works to make the code either more concise, or more flexible. This tutorial assumes you already have PyTorch installed, and are familiar with the basics of tensor operations....
https://docs.pytorch.org/tutorials/beginner/nn_tutorial.html

Datasets & DataLoaders ? PyTorch Tutorials 2.12.0+cu130 documentation
...PyTorch provides two data primitives: torch.utils.data.DataLoader and torch.utils.data.Dataset that allow you to use pre-loaded datasets as well as your own data. Dataset stores the samples and their corresponding labels, and DataLoader wraps an iterable around the Dataset to enable easy access to the samples....
https://docs.pytorch.org/tutorials/beginner/basics/data_tutorial.html



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