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Accelerated PyTorch inference with torch.compile on AWS Graviton processors

PyTorch Blog · published 9 July 2024

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https://aws.amazon.com/about-aws/whats-new/2022/05/amazon-ec2-c7g-instances-powered-aws-graviton3-processors/
aws.amazon.com
https://huggingface.co/models
huggingface.co
https://github.com/pytorch/benchmark
github.com
https://pypi.org/project/torch/2.3.1/
pypi.org
https://github.com/aws/deep-learning-containers/blob/master/available_images.md
github.com
https://github.com/ARM-software/ComputeLibrary
github.com
https://aws.amazon.com/ec2/instance-types/c7g/
aws.amazon.com
https://oneapi-src.github.io/oneDNN/dev_guide_understanding_memory_formats.html
oneapi-src.github.io
https://developer.arm.com/documentation/ddi0596/2020-12/SVE-Instructions/BFMMLA--BFloat16-floating-point-matrix-multiply-accumulate-
developer.arm.com
https://arxiv.org/pdf/1606.08415.pdf
arxiv.org
https://github.com/aws/aws-graviton-getting-started
github.com
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