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Efficient Data Loading

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ava
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Let’s explore Google's Grain library, a powerful tool for handling data loading specifically designed for JAX. If you're coming from PyTorch and starting to build models with JAX and the new Flax NNX API, you know that efficient data pipelines are critical, especially when using accelerators like GPUs or TPUs. JAX's speed can easily be bottlenecked by slow data input, so Grain aims to solve this. We'll cover what Grain is, its core components, how to use its APIs, and how it integrates into a typical JAX/Flax NNX workflow.

Resources:
Learn more → https://goo.gle/learning-jax

Subscribe to Google for Developers → https://goo.gle/developers

Speaker: Robert Crowe
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Google, developers, pr_pr: AI DevRel (fka Core ML);
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