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[Backend Tester] Add CoreML tester implementation #11959
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11959
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 23 PendingAs of commit d5041c9 with merge base 264ac90 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Looks clean. No test for a tester? Also I gues the tester refactoring should be in between the FACTO and CoreML diffs?
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Add a tester implementation for Core ML. This uses the common backend tester framework to allow Core ML to plug into the test harness using pybindings.
example_inputs: Tuple[torch.Tensor], | ||
dynamic_shapes: Optional[Tuple[Any]] = None, | ||
): | ||
# Specialize for XNNPACK |
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comment fix?
Add a tester implementation for Core ML. This uses the common backend tester framework to allow Core ML to plug into the test harness using pybindings.