May 11, 2017 · PyTorch defines a new package torch. In this post we will consider the ._C module. This module is known as an “extension module” - a Python module written in C. Such …

Dec 3, 2018 · PyTorch has its own Tensor representation, which decouples PyTorch internal representation from external representations. However, as it is very common, especially when …

PyTorch is a Python package that provides two high-level features: You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed. Our …

Jul 8, 2023 · In this blog post, we will dive into PyTorch’s internal architecture. Specifically, we’ll explore two critical components that facilitate efficient computations: Tensor Wrappers and...

Starting from the program source code, below are the steps you would go through to accomplish the program preparation. Like all PyTorch use cases, ExecuTorch starts from model authoring, …

Apr 19, 2025 · The PyTorch source code architecture is built around several key components that work together to provide a robust framework for tensor computation and dynamic neural …

Explore the structure of Pytorch's source code, including key components and organization for better understanding and contribution. The PyTorch C++ frontend is a powerful library …

Jan 18, 2024 · I want to systematically learn the source code structure of pytorch. How should I learn? Is there any official document where I can learn from it? Thanks. I’d suggest picking a …

Feb 21, 2025 · In summary, the PyTorch C++ API provides a comprehensive framework for building and deploying machine learning models with a focus on performance and flexibility. …

PyTorch is an open-source deep learning platform. In this report, we systematically analyzed it and obtained a structural view of its architecture. Analysis include its stakeholders, context …