Summary: MCU Tests: Add two basic qadd , qlinear qdq tests #14440
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14440
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| "qops": QuantOpTest, | ||
| "softmax": SoftmaxModule, | ||
| "MultipleOutputsModule": MultipleOutputsModule, | ||
| "qlinear": QuantLinearTest, |
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Add a TODO for more tests, link the tester RFC thing from @AdrianLundell here?
examples/arm/aot_arm_compiler.py
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| def __init__(self): | ||
| super().__init__() | ||
| # Define a simple linear layer | ||
| self.linear = torch.nn.Linear(64, 32) |
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let's use prime numbers instead of powers of two..
| -m "$model" \ | ||
| --target="$ETHOS_TARGET" \ | ||
| --quantize \ | ||
| --enable_qdq_fusion_pass \ |
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Few internal CI tests were failing, I will fix them first and then enable
- Enable on CI for consistent signals - Note that this is interim solution until a proper MCU testing standalone pipeline is ready Test Plan: - examples/arm/run_mcu_models_fvp.sh --target=cortex-m55 --models=qadd,qlinear ════════════════════════════════════════════════════════════════ 🏁 MCU MODEL VALIDATION SUMMARY - TARGET: cortex-m55 ════════════════════════════════════════════════════════════════ qadd : ✅ Passed qlinear : ✅ Passed Reviewers: Subscribers: Tasks: Tags:
Test Plan:
qadd : ✅ Passed
qlinear : ✅ Passed
Reviewers:
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Tasks:
Tags:
Summary
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Fixes #<issue-id>line.[PLEASE REMOVE] If this PR introduces a fix or feature that should be the upcoming release notes, please add a "Release notes: " label. For a list of available release notes labels, check out CONTRIBUTING.md's Pull Requests.
Test plan
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