The C++ frontend allows you to remain in C++ and spare yourself the hassle of binding back and forth between Python and C++, while retaining much of the flexibility and intuitiveness of the traditional PyTorch (Python) experience.

Dec 3, 2018 · Short intro to Python extension objects in C/C++; Zero-copy PyTorch Tensor to Numpy and vice-versa; Tensor Storage; Shared Memory; DLPack: a hope for the Deep Learning frameworks Babel; Introduction. This post is a tour around the PyTorch codebase, it is meant to be a guide for the architectural design of PyTorch and its internals.

ExecuTorch defines a streamlined workflow to prepare (export, transformation, and compilation) and execute a PyTorch program, with opinionated out-of-the-box default components and well-defined entry points for customizations.

May 11, 2017 · 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.

Apr 19, 2025 · Explore the architecture of Pytorch's source code, focusing on its design principles and structure for efficient deep learning. The PyTorch C++ frontend is a powerful library designed for tensor computation on both CPU and GPU, leveraging C++14 features.

Oct 16, 2024 · Seamless Integration: Build, train, and deploy neural networks using C++, leveraging the extensive functionalities of PyTorch. Consistency with Python API: Maintains a similar interface and...

Jun 13, 2024 · PyTorch C++ offers a blend of PyTorch's intuitive design with the performance optimisation and resource management of C++. It allows for the implementation of complex machine learning algorithms with increased execution speed and efficiency, suitable for environments where performance is critical.

Jul 8, 2023 · PyTorch Tensor has well-designed metadata that decouples logical memory layout from physical memory and provides primitives for operator dyamic dispatch from the Python frontend to the...

Apr 18, 2025 · Explore the architecture of Pytorch framework, focusing on its components and design principles for efficient deep learning. The hierarchical module system in PyTorch C++ provides a powerful interface for defining machine learning models.

May 2, 2020 · One major enhancement of the recently released PyTorch 1.5 is a stable C++ frontend API parity with Python ¹. C++ frontend API works well with Low Latency Systems, Highly Multi-threaded...