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 modules allow us to define new built-in object types (e.g. the Tensor) and to call C/C++ functions. The ._C module is defined in torch/csrc/Module.cpp.

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 data is loaded from a variety of sources, to have Numpy arrays everywhere, therefore we really need to make conversions between Numpy and PyTorch tensors.

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 trunk health (Continuous Integration signals) can be found at …

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, where standard nn.Module eager mode PyTorch programs are created.

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 networks. Understanding these components is essential for developers looking to leverage PyTorch's capabilities effectively.

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 designed for tensor computation on both CPU and GPU, leveraging C++14 features.

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 specific subset you’re interested in and going from there pytorch is massive codebase.

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. By utilizing the various components effectively, developers can create efficient and scalable applications that leverage the power of PyTorch.

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 view, development view, technical debt and deployment view.