[pt]Supported benchmarking pytorch jit self-contained models.#35279
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newstzpz wants to merge 1 commit intopytorch:masterfrom
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[pt]Supported benchmarking pytorch jit self-contained models.#35279newstzpz wants to merge 1 commit intopytorch:masterfrom
newstzpz wants to merge 1 commit intopytorch:masterfrom
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This pull request was exported from Phabricator. Differential Revision: D20585639 |
💊 CircleCI build failures summary and remediationsAs of commit 5838521 (more details on the Dr. CI page): ✅ None of the build failures appear to be your fault 💚
🚧 1 upstream failure:These were probably caused by upstream breakages:
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…h#35279) Summary: Pull Request resolved: pytorch#35279 Supported benchmarking pytorch jit self-contained models. * By specifying flag `--no_inputs=True`, the binary supports benchmarking self-contained torchscript model (model runs without inputs, `model.forward()`) * This allows moving data preparation part outside of this binary. Differential Revision: D20585639 fbshipit-source-id: 87f24d2078103e4d42df8cddcc663a85943053ba
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This pull request was exported from Phabricator. Differential Revision: D20585639 |
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This pull request has been merged in 7374a00. |
ashishfarmer
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Apr 13, 2020
…h#35279) Summary: Pull Request resolved: pytorch#35279 Supported benchmarking pytorch jit self-contained models. * By specifying flag `--no_inputs=True`, the binary supports benchmarking self-contained torchscript model (model runs without inputs, `model.forward()`) * This allows moving data preparation part outside of this binary. Reviewed By: kimishpatel Differential Revision: D20585639 fbshipit-source-id: c28e50503534c90023c1430479d26f1c1ce740b1
laurentdupin
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Apr 24, 2026
…h#35279) Summary: Pull Request resolved: pytorch#35279 Supported benchmarking pytorch jit self-contained models. * By specifying flag `--no_inputs=True`, the binary supports benchmarking self-contained torchscript model (model runs without inputs, `model.forward()`) * This allows moving data preparation part outside of this binary. Reviewed By: kimishpatel Differential Revision: D20585639 fbshipit-source-id: c28e50503534c90023c1430479d26f1c1ce740b1
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Summary:
Supported benchmarking pytorch jit self-contained models.
--no_inputs=True, the binary supports benchmarking self-contained torchscript model (model runs without inputs,model.forward())Differential Revision: D20585639