8 Advanced parallelization - Deep Learning with JAX

Por um escritor misterioso
Last updated 11 junho 2024
8 Advanced parallelization - Deep Learning with JAX
Using easy-to-revise parallelism with xmap() · Compiling and automatically partitioning functions with pjit() · Using tensor sharding to achieve parallelization with XLA · Running code in multi-host configurations
8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
Efficiently Scale LLM Training Across a Large GPU Cluster with
8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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8 Advanced parallelization - Deep Learning with JAX
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