Introduction PyTorch 2.0 (PT2) offers a compiled execution mode which rewrites Python bytecode to extract sequences of PyTorch operations, translating them into a Graph IR. The IR is then just-in-time compiled...
During your time with PyTorch on GPUs, you may be familiar with this common error message: In this series, we show how to use memory tooling, including the Memory Snapshot,...
Lightning Talk 1: Seismic Data to Subsurface Models with OpenFWI Speaker: Benjamin Consolvo, AI Software Engineering Manager, Intel, LinkedIn Session Overview In this session, Ben begins with an overview of seismic...
This post is the second part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share a breadth of...
We are excited to see the release of PyTorch 2.1. In this blog, we discuss the five features for which Intel made significant contributions to PyTorch 2.1: At Intel, we...
This post is the first part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share a breadth of...
In this blog, we discuss how to improve the inference latencies of the Llama 2 family of models using PyTorch native optimizations such as native fast kernels, compile transformations from...
In a landscape where AI innovation is accelerating at an unprecedented pace, Meta’s Llama family of open sourced large language models (LLMs) stands out as a notable breakthrough. Llama marked a significant step forward...
Supported in PyTorch 2.0 as a beta feature, oneDNN Graph leverages aggressive fusion patterns to accelerate inference on x86-64 machines, especially Intel® Xeon® Scalable processors. oneDNN Graph API extends oneDNN with a flexible...
Researchers and developers working with Machine Learning (ML) models and algorithms using PyTorch can now use AMD ROCm 5.7 on Ubuntu® Linux® to tap into the parallel computing power of...
Quansight engineers have implemented support for tracing through NumPy code via torch.compile in PyTorch 2.1. This feature leverages PyTorch’s compiler to generate efficient fused vectorized code without having to modify your original...
Motivation Large language models (LLM) such as ChatGPT or Llama have received unprecedented attention lately. However, they remain massively expensive to run. Even though generating a single response can cost...
Reviewers: Yunsang Ju(Naver GplaceAI Leader), Min Jean Cho(Intel), Jing Xu(Intel), Mark Saroufim(Meta) Intro Here, We will be sharing our experience in moving AI workloads from our GPU servers to our Intel...
Audio-Visual Speech Recognition (AV-ASR, or AVSR) is the task of transcribing text from audio and visual streams, which has recently attracted a lot of research attention due to its robustness...
We are excited to announce the release of PyTorch® 2.1 (release note)! PyTorch 2.1 offers automatic dynamic shape support in torch.compile, torch.distributed.checkpoint for saving/loading distributed training jobs on multiple ranks in parallel, and torch.compile support...
Summary We are bringing a number of improvements to the current PyTorch libraries, alongside the PyTorch 2.1 release. These updates demonstrate our focus on developing common and extensible APIs across...
Recently, Llama 2 was released and has attracted a lot of interest from the machine learning community. Amazon EC2 Inf2 instances, powered by AWS Inferentia2, now support training and inference of Llama 2 models....
The focus on interactive chat-generation (or conversational response-generation) models has greatly increased in the past several months. Conversational response-generation models such as ChatGPT and Google Bard have taken the AI...
Use 3D to visualize matrix multiplication expressions, attention heads with real weights, and more. Matrix multiplications (matmuls) are the building blocks of today’s ML models. This note presents mm, a visualization...
Story at a Glance Inductor Backend Challenges The PyTorch Inductor C++/OpenMP backend enables users to take advantage of modern CPU architectures and parallel processing to accelerate computations. However, during the...
