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cuda export supported #14574
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cuda export supported #14574
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14574
Note: Links to docs will display an error until the docs builds have been completed. ❌ 5 New Failures, 2 Unrelated FailuresAs of commit 9e2442c with merge base ebabf52 ( NEW FAILURES - The following jobs have failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@Gasoonjia has exported this pull request. If you are a Meta employee, you can view the originating diff in D82987410. |
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Review automatically exported from Phabricator review in Meta.
This PR needs a
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Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime. Reviewed By: angelayi, larryliu0820 Differential Revision: D82987410
Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime. Reviewed By: angelayi, larryliu0820 Differential Revision: D82987410
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Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime. Reviewed By: angelayi, larryliu0820 Differential Revision: D82987410
|
@Gasoonjia has exported this pull request. If you are a Meta employee, you can view the originating diff in D82987410. |
Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime. Reviewed By: angelayi, larryliu0820 Differential Revision: D82987410
532277e to
9e2442c
Compare
|
@Gasoonjia has exported this pull request. If you are a Meta employee, you can view the originating diff in D82987410. |
Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime. Reviewed By: angelayi, larryliu0820 Differential Revision: D82987410
Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime. Reviewed By: angelayi, larryliu0820 Differential Revision: D82987410
Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime. Reviewed By: angelayi, larryliu0820 Differential Revision: D82987410
Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime. Reviewed By: angelayi, larryliu0820 Differential Revision: D82987410
Summary: this diff introuce the cuda backend that compiles the partitioned model graph to run on CUDA devices. It uses the AOTInductor compiler to generate optimized CUDA kernels for the model's operators with libtorch-free. The compiled model can be executed on CUDA devices using the Executorch runtime.
Reviewed By: angelayi, larryliu0820
Differential Revision: D82987410