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Implement multi-output autotuning in Torchinductor - #105

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edderstack:RFC-0059-Multioutput-autotuning
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Implement multi-output autotuning in Torchinductor#105
edderstack wants to merge 1 commit into
pytorch:masterfrom
edderstack:RFC-0059-Multioutput-autotuning

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@edderstack

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Add support for multi-output autotuning in Torchinductor, allowing templates and extern kernels to share the same operator contract without additional copy operations. This change includes updates to choice construction, benchmarking, and IR generation to handle multiple outputs seamlessly.

Add support for multi-output autotuning in Torchinductor, allowing templates and extern kernels to share the same operator contract without additional copy operations. This change includes updates to choice construction, benchmarking, and IR generation to handle multiple outputs seamlessly.
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meta-cla Bot commented Aug 25, 2026

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@eellison

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@edderstack have you looked into the Subgraph Decomposition autotuning ? this can handle arbitrary, multiple operations and outputs.

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