8 Advanced parallelization - Deep Learning with JAX
Por um escritor misterioso
Last updated 11 novembro 2024
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
Self-directed online machine learning for topology optimization
Applying sequence and parallel graph splits on a data-parallel
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