About this document
Understanding PyTorch Internals by dung is a document available to read on EtoBox.
The document provides an overview of PyTorch internals including tensors, the just-in-time compiler, and production tips. Tensors in PyTorch are multi-dimensional matrices containing elements of a single data type. All PyTorch computation is implemented in C++ with Python bindings. The ATen library provides foundational tensor operations and Autograd enables automatic differentiation.
- Author
- dung
- Language
- EN