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  • PyTorch
    PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem
  • Learn the Basics — PyTorch Tutorials 2. 9. 0+cu128 documentation
    Learn the Basics || Quickstart || Tensors || Datasets DataLoaders || Transforms || Build Model || Autograd || Optimization || Save Load Model Learn the Basics # Created On: Feb 09, 2021 | Last Updated: Jul 07, 2025 | Last Verified: Nov 05, 2024 Authors: Suraj Subramanian, Seth Juarez, Cassie Breviu, Dmitry Soshnikov, Ari Bornstein Most machine learning workflows involve working with data
  • torch. utils. data — PyTorch 2. 9 documentation
    torch utils data # Created On: Jun 13, 2025 | Last Updated On: Jun 13, 2025 At the heart of PyTorch data loading utility is the torch utils data DataLoader class It represents a Python iterable over a dataset, with support for map-style and iterable-style datasets, customizing data loading order, automatic batching, single- and multi-process data loading, automatic memory pinning These
  • Why do I install pytorch with the names ~orch and . . . - PyTorch Forums
    Why do I install pytorch with the names "~orch" and "~-rch" in the site-packages folder? hrdom (dom) June 20, 2024, 11:33am 1 hrdom (dom) June 20, 2024, 12:44pm
  • torch. randn — PyTorch 2. 9 documentation
    torch randn # torch randn(*size, *, generator=None, out=None, dtype=None, layout=torch strided, device=None, requires_grad=False, pin_memory=False) → Tensor # Returns a tensor filled with random numbers from a normal distribution with mean 0 and variance 1 (also called the standard normal distribution)
  • torch. nn — PyTorch 2. 9 documentation
    torch nn # Created On: Dec 23, 2016 | Last Updated On: Jul 25, 2025 These are the basic building blocks for graphs:
  • torch. optim — PyTorch 2. 9 documentation
    torch optim # Created On: Jun 13, 2025 | Last Updated On: Aug 24, 2025 torch optim is a package implementing various optimization algorithms Most commonly used methods are already supported, and the interface is general enough, so that more sophisticated ones can also be easily integrated in the future
  • torch. Tensor — PyTorch 2. 9 documentation
    torch Tensor # Created On: Dec 23, 2016 | Last Updated On: Jun 27, 2025 A torch Tensor is a multi-dimensional matrix containing elements of a single data type Please see torch dtype for more details about dtype support
  • PyTorch documentation — PyTorch 2. 9 documentation
    PyTorch documentation # PyTorch is an optimized tensor library for deep learning using GPUs and CPUs Features described in this documentation are classified by release status: Stable (API-Stable): These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation We also expect to maintain backwards compatibility (although





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