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Description	The bug Echo Nolan’s Blog Home About / Contact Archive Hi! This is where I write whatever I think needs sharing. JAX vs PyTorch: A simple transformer benchmark Po
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US$873,580

Last updated: 2023-05-16 18:52:50

echonolan.net has Semrush global rank of 12,116,020. echonolan.net has an estimated worth of US$ 873,580, based on its estimated Ads revenue. echonolan.net receives approximately 100,798 unique visitors each day. Its web server is located in United States, with IP address 208.94.116.55. According to SiteAdvisor, echonolan.net is safe to visit.

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Echo Nolan’s Blog Home About / Contact Archive Hi! This is where I write whatever I think needs sharing. JAX vs PyTorch: A simple transformer benchmark Posted on September 6, 2021 I’ve been looking into deep learning libraries recently and JAX seemed interesting, but as far as I could tell no one had actually benchmarked it against PyTorch, the de facto standard. So I decided to implement the same model in both and compare. Here’s the top level summary: PyTorch gets 1.11 iterations per second and JAX gets 1.24it/s (12% better) on a Google Colab notebook with a P100. In addition, JAX is more memory efficient, the PyTorch model OOMs with more than 62 examples at a time and JAX can get up to 79 (at 1.01it/s, or 79.79 examples per second vs PyTorch’s 68.82 with the smaller batch size). Meanwhile TPUs are kind of absurd. Torch on XLA theoretically exists , but I don’t know of anyone who’s actually gotten it to work. When I was testing it my code segfaulted . TPUs work very smoothing with

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