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Summary: As this diff shows, currently there are a couple hundred instances of raw `noqa` in the codebase, which just ignore all errors on a given line. That isn't great, so this PR changes all existing instances of that antipattern to qualify the `noqa` with respect to a specific error code, and adds a lint to prevent more of this from happening in the future. Interestingly, some of the examples the `noqa` lint catches are genuine attempts to qualify the `noqa` with a specific error code, such as these two: ``` test/jit/test_misc.py:27: print(f"{hello + ' ' + test}, I'm a {test}") # noqa E999 test/jit/test_misc.py:28: print(f"format blank") # noqa F541 ``` However, those are still wrong because they are [missing a colon](https://flake8.pycqa.org/en/3.9.1/user/violations.html#in-line-ignoring-errors), which actually causes the error code to be completely ignored: - If you change them to anything else, the warnings will still be suppressed. - If you add the necessary colons then it is revealed that `E261` was also being suppressed, unintentionally: ``` test/jit/test_misc.py:27:57: E261 at least two spaces before inline comment test/jit/test_misc.py:28:35: E261 at least two spaces before inline comment ``` I did try using [flake8-noqa](https://pypi.org/project/flake8-noqa/) instead of a custom `git grep` lint, but it didn't seem to work. This PR is definitely missing some of the functionality that flake8-noqa is supposed to provide, though, so if someone can figure out how to use it, we should do that instead. Pull Request resolved: https://github.com/pytorch/pytorch/pull/56272 Test Plan: CI should pass on the tip of this PR, and we know that the lint works because the following CI run (before this PR was finished) failed: - https://github.com/pytorch/pytorch/runs/2365189927 Reviewed By: janeyx99 Differential Revision: D27830127 Pulled By: samestep fbshipit-source-id: d6dcf4f945ebd18cd76c46a07f3b408296864fcb
97 lines
4.7 KiB
Python
97 lines
4.7 KiB
Python
# -*- coding: utf-8 -*-
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from torch.testing._internal.common_utils import run_tests
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# Quantized Tensor
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from quantization.test_quantized_tensor import TestQuantizedTensor # noqa: F401
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# Quantized Op
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# TODO: merge test cases in quantization.test_quantized
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from quantization.test_quantized_op import TestQuantizedOps # noqa: F401
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from quantization.test_quantized_op import TestQNNPackOps # noqa: F401
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from quantization.test_quantized_op import TestQuantizedLinear # noqa: F401
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from quantization.test_quantized_op import TestQuantizedConv # noqa: F401
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from quantization.test_quantized_op import TestDynamicQuantizedLinear # noqa: F401
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from quantization.test_quantized_op import TestComparatorOps # noqa: F401
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from quantization.test_quantized_op import TestPadding # noqa: F401
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from quantization.test_quantized_op import TestQuantizedEmbeddingOps # noqa: F401
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from quantization.test_quantized_op import TestDynamicQuantizedRNNOp # noqa: F401
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# Quantized Functional
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from quantization.test_quantized_functional import TestQuantizedFunctional # noqa: F401
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# Quantized Module
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from quantization.test_quantized_module import TestStaticQuantizedModule # noqa: F401
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from quantization.test_quantized_module import TestDynamicQuantizedModule # noqa: F401
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# Quantization Aware Training
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from quantization.test_qat_module import TestQATModule # noqa: F401
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# Quantization specific fusion passes
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from quantization.test_fusion_passes import TestFusionPasses # noqa: F401
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# Module
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# TODO: some of the tests are actually operator tests, e.g. test_forward_per_tensor, and
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# should be moved to test_quantized_op
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from quantization.test_workflow_module import TestFakeQuantize # noqa: F401
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from quantization.test_workflow_module import TestObserver # noqa: F401
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# TODO: merge with TestObserver
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# TODO: some tests belong to test_quantize.py, e.g. test_record_observer
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from quantization.test_workflow_module import TestRecordHistogramObserver # noqa: F401
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from quantization.test_workflow_module import TestHistogramObserver # noqa: F401
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from quantization.test_workflow_module import TestDistributed # noqa: F401
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# Workflow
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# 1. Eager mode quantization
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from quantization.test_quantize import TestPostTrainingStatic # noqa: F401
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from quantization.test_quantize import TestPostTrainingDynamic # noqa: F401
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from quantization.test_quantize import TestQuantizationAwareTraining # noqa: F401
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from quantization.test_quantize import TestEagerModeOps # noqa: F401
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from quantization.test_quantize import TestEagerModeQATOps # noqa: F401
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# TODO: merge with other tests in test_quantize.py?
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from quantization.test_quantize import TestFunctionalModule # noqa: F401
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from quantization.test_quantize import TestFusion # noqa: F401
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from quantization.test_quantize import TestModelNumerics # noqa: F401
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from quantization.test_quantize import TestQuantizeONNXExport # noqa: F401
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from quantization.test_quantize import TestDeprecatedJitQuantized # noqa: F401
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# 2. Graph mode quantization
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from quantization.test_quantize_jit import TestQuantizeJit # noqa: F401
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from quantization.test_quantize_jit import TestQuantizeJitPasses # noqa: F401
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from quantization.test_quantize_jit import TestQuantizeJitOps # noqa: F401
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from quantization.test_quantize_jit import TestQuantizeDynamicJitPasses # noqa: F401
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from quantization.test_quantize_jit import TestQuantizeDynamicJitOps # noqa: F401
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# 3. GraphModule based graph mode quantization
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try:
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from quantization.test_quantize_fx import TestFuseFx # noqa: F401
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from quantization.test_quantize_fx import TestQuantizeFx # noqa: F401
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from quantization.test_quantize_fx import TestQuantizeFxOps # noqa: F401
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from quantization.test_quantize_fx import TestQuantizeFxModels # noqa: F401
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except ImportError:
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# In FBCode we separate FX out into a separate target for the sake of dev
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# velocity. These are covered by a separate test target `quantization_fx`
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pass
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# Tooling: numeric_suite
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from quantization.test_numeric_suite import TestEagerModeNumericSuite # noqa: F401
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try:
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from quantization.test_numeric_suite_fx import TestFXGraphMatcher # noqa: F401
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from quantization.test_numeric_suite_fx import TestFXGraphMatcherModels # noqa: F401
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from quantization.test_numeric_suite_fx import TestFXNumericSuiteCoreAPIs # noqa: F401
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from quantization.test_numeric_suite_fx import TestFXNumericSuiteCoreAPIsModels # noqa: F401
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except ImportError:
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pass
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# Backward Compatibility
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from quantization.test_backward_compatibility import TestSerialization # noqa: F401
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# Equalization
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from quantization.test_equalize import TestEqualizeEager # noqa: F401
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# Bias Correction
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from quantization.test_bias_correction import TestBiasCorrection # noqa: F401
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if __name__ == '__main__':
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run_tests()
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