PyTorch has introduced torchcodec, a machine learning library designed specifically to decode videos into PyTorch tensors. This new tool bridges the gap between video processing and deep learning ...

To conclude, The PyTorch-powered library is intended to integrate many capable tensor formats under a single user interface and provide various analytic tools and methodologies. It gives machine ...

TLDR: Quantized Tensor is here. In this note I’ll introduce some core concepts for quantized Tensor and list the current user facing API in Python. This means now you can play with the quantized ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

PyTorch is a Python language code library that can be used to create deep neural networks. The fundamental object in PyTorch is called a tensor. A tensor is essentially an n-dimensional array that can ...

These are potential goals that have been collected from the above referenced PRs, other PyTorch issues (referenced in the relevant sections), as well as from discussions with mainly Edward Yang, and ...