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[CoreML Backend] Propagate debug handle. #2783
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2783
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 1 Unrelated FailureAs of commit 0d5e887 with merge base e283967 ( NEW FAILURE - The following job has failed:
BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@pytorchbot label ciflow/trunk |
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@shoumikhin has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
@shoumikhin merged this pull request in 091e524. |
def preprocess_model( | ||
mlmodel: ct.models.MLModel, model_type: MODEL_TYPE | ||
) -> PreprocessResult: | ||
identifier = str(uuid.uuid4()) |
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Just a note, we also provide the helper function to build the identifier, if you find it helpful. It's totally fine to use your own way, and maybe we can learn the reason. cc: @tarun292 @Jack-Khuu
Propagate debug handles so that the runtime could log profiling events with the correct handle.