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Using Rust with PyTorch

Using Rust with PyTorch - Google Cloud Platform教程

课程: Google Cloud Professional Machine Learning Engineer Cert Prep

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Using Rust with PyTorch

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One of the things I hear a lot about using Rust is there's this kind of hesitancy about, you know, well, it's a newer language, even though it's been around since 2010, and maybe people are concerned about, you know, can it be used in the real world? Well, I wanted to dispel a few things. First, I'm going to walk you through how to train models with PyTorch and invoke them using GPUs with the rust-pytorch bindings. And I'm also going to talk a little bit about Firecracker. So what is Firecracker? It is a server based technology that powers AWS Lambda written by AWS. If I could imagine the biggest possible, you know, server based execution of ARM in the world, it's going to be on AWS, right? They they are the ￡800 gorilla of cloud computing. And, in fact, one of their most popular services is AWS Lambda and what has it written in is written in Rust. And so I think that should dispel this idea that you can't use Rust in production…

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