Add JIT and Variable Batch Support to Benchmark #3131
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Summary: This update introduces an option to apply Just-In-Time (JIT) compilation in the training pipeline configuration for performance comparison. It also adds support for variable batch sizes, including the generation of Variable Batch KeyedJaggedTensor (VB-KJT). Differential Revision: D76928208
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Summary: Pull Request resolved: pytorch#3131 This update introduces an option to apply Just-In-Time (JIT) compilation in the training pipeline configuration for performance comparison. It also adds support for variable batch sizes, including the generation of Variable Batch KeyedJaggedTensor (VB-KJT). Differential Revision: D76928208
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Summary: This update introduces an option to apply Just-In-Time (JIT) compilation in the training pipeline configuration for performance comparison. It also adds support for variable batch sizes, including the generation of Variable Batch KeyedJaggedTensor (VB-KJT).
Differential Revision: D76928208