Generalize module benchmarking #3252
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Summary: Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Differential Revision: D79515598
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Summary: Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Differential Revision: D79515598
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Summary: Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Differential Revision: D79515598
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Summary: Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Differential Revision: D79515598
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Summary: Pull Request resolved: pytorch#3252 Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Differential Revision: D79515598
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Summary: Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Differential Revision: D79515598
Differential Revision: D79512602
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Summary: Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Differential Revision: D79515598
Summary: Pull Request resolved: pytorch#3252 Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Differential Revision: D79515598
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Summary: Added `benchmark_module` function that benchmarks the given module, sharding type, and planner across multiple GPUs. Reviewed By: aliafzal Differential Revision: D79515598
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Summary:
Added
benchmark_modulefunction that benchmarks the given module, sharding type, and planner across multiple GPUs.Rollback Plan:
Differential Revision: D79515598