onnxruntime/orttraining/tools/ci_test/compare_results.py

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2020-03-11 21:25:37 +00:00
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
Adopt linrtunner as the linting tool - take 2 (#15085) ### Description `lintrunner` is a linter runner successfully used by pytorch, onnx and onnx-script. It provides a uniform experience running linters locally and in CI. It supports all major dev systems: Windows, Linux and MacOs. The checks are enforced by the `Python format` workflow. This PR adopts `lintrunner` to onnxruntime and fixed ~2000 flake8 errors in Python code. `lintrunner` now runs all required python lints including `ruff`(replacing `flake8`), `black` and `isort`. Future lints like `clang-format` can be added. Most errors are auto-fixed by `ruff` and the fixes should be considered robust. Lints that are more complicated to fix are applied `# noqa` for now and should be fixed in follow up PRs. ### Notable changes 1. This PR **removed some suboptimal patterns**: - `not xxx in` -> `xxx not in` membership checks - bare excepts (`except:` -> `except Exception`) - unused imports The follow up PR will remove: - `import *` - mutable values as default in function definitions (`def func(a=[])`) - more unused imports - unused local variables 2. Use `ruff` to replace `flake8`. `ruff` is much (40x) faster than flake8 and is more robust. We are using it successfully in onnx and onnx-script. It also supports auto-fixing many flake8 errors. 3. Removed the legacy flake8 ci flow and updated docs. 4. The added workflow supports SARIF code scanning reports on github, example snapshot: ![image](https://user-images.githubusercontent.com/11205048/212598953-d60ce8a9-f242-4fa8-8674-8696b704604a.png) 5. Removed `onnxruntime-python-checks-ci-pipeline` as redundant ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Unified linting experience in CI and local. Replacing https://github.com/microsoft/onnxruntime/pull/14306 --------- Signed-off-by: Justin Chu <justinchu@microsoft.com>
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import argparse # noqa: F401
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import collections
import csv
Adopt linrtunner as the linting tool - take 2 (#15085) ### Description `lintrunner` is a linter runner successfully used by pytorch, onnx and onnx-script. It provides a uniform experience running linters locally and in CI. It supports all major dev systems: Windows, Linux and MacOs. The checks are enforced by the `Python format` workflow. This PR adopts `lintrunner` to onnxruntime and fixed ~2000 flake8 errors in Python code. `lintrunner` now runs all required python lints including `ruff`(replacing `flake8`), `black` and `isort`. Future lints like `clang-format` can be added. Most errors are auto-fixed by `ruff` and the fixes should be considered robust. Lints that are more complicated to fix are applied `# noqa` for now and should be fixed in follow up PRs. ### Notable changes 1. This PR **removed some suboptimal patterns**: - `not xxx in` -> `xxx not in` membership checks - bare excepts (`except:` -> `except Exception`) - unused imports The follow up PR will remove: - `import *` - mutable values as default in function definitions (`def func(a=[])`) - more unused imports - unused local variables 2. Use `ruff` to replace `flake8`. `ruff` is much (40x) faster than flake8 and is more robust. We are using it successfully in onnx and onnx-script. It also supports auto-fixing many flake8 errors. 3. Removed the legacy flake8 ci flow and updated docs. 4. The added workflow supports SARIF code scanning reports on github, example snapshot: ![image](https://user-images.githubusercontent.com/11205048/212598953-d60ce8a9-f242-4fa8-8674-8696b704604a.png) 5. Removed `onnxruntime-python-checks-ci-pipeline` as redundant ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Unified linting experience in CI and local. Replacing https://github.com/microsoft/onnxruntime/pull/14306 --------- Signed-off-by: Justin Chu <justinchu@microsoft.com>
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import re # noqa: F401
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import sys
Comparison = collections.namedtuple("Comparison", ["name", "fn"])
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class Comparisons:
@staticmethod
def eq():
return Comparison(name="equal to", fn=(lambda actual, expected: actual == expected))
@staticmethod
def float_le(tolerance=None):
actual_tolerance = 0.0 if tolerance is None else tolerance
return Comparison(
Adopt linrtunner as the linting tool - take 2 (#15085) ### Description `lintrunner` is a linter runner successfully used by pytorch, onnx and onnx-script. It provides a uniform experience running linters locally and in CI. It supports all major dev systems: Windows, Linux and MacOs. The checks are enforced by the `Python format` workflow. This PR adopts `lintrunner` to onnxruntime and fixed ~2000 flake8 errors in Python code. `lintrunner` now runs all required python lints including `ruff`(replacing `flake8`), `black` and `isort`. Future lints like `clang-format` can be added. Most errors are auto-fixed by `ruff` and the fixes should be considered robust. Lints that are more complicated to fix are applied `# noqa` for now and should be fixed in follow up PRs. ### Notable changes 1. This PR **removed some suboptimal patterns**: - `not xxx in` -> `xxx not in` membership checks - bare excepts (`except:` -> `except Exception`) - unused imports The follow up PR will remove: - `import *` - mutable values as default in function definitions (`def func(a=[])`) - more unused imports - unused local variables 2. Use `ruff` to replace `flake8`. `ruff` is much (40x) faster than flake8 and is more robust. We are using it successfully in onnx and onnx-script. It also supports auto-fixing many flake8 errors. 3. Removed the legacy flake8 ci flow and updated docs. 4. The added workflow supports SARIF code scanning reports on github, example snapshot: ![image](https://user-images.githubusercontent.com/11205048/212598953-d60ce8a9-f242-4fa8-8674-8696b704604a.png) 5. Removed `onnxruntime-python-checks-ci-pipeline` as redundant ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Unified linting experience in CI and local. Replacing https://github.com/microsoft/onnxruntime/pull/14306 --------- Signed-off-by: Justin Chu <justinchu@microsoft.com>
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name="less than or equal to" + (f" (tolerance: {str(actual_tolerance)})" if tolerance is not None else ""),
fn=(lambda actual, expected: float(actual) <= float(expected) + actual_tolerance),
)
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def _printf_stderr(fmt, *args):
print(fmt.format(*args), file=sys.stderr)
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def _read_results_file(results_path):
with open(results_path) as results_file:
csv_reader = csv.DictReader(results_file)
return [row for row in csv_reader]
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def _compare_results(expected_results, actual_results, field_comparisons):
if len(field_comparisons) == 0:
return True
if len(expected_results) != len(actual_results):
_printf_stderr("Expected and actual result sets have different sizes.")
return False
mismatch_detected = False
for row_idx, (expected_row, actual_row) in enumerate(zip(expected_results, actual_results)):
for field_name, comparison in field_comparisons.items():
actual, expected = actual_row[field_name], expected_row[field_name]
if not comparison.fn(actual, expected):
_printf_stderr(
"Comparison '{}' failed for {} in row {}, actual: {}, expected: {}",
comparison.name,
field_name,
row_idx,
actual,
expected,
)
mismatch_detected = True
return not mismatch_detected
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def compare_results_files(expected_results_path: str, actual_results_path: str, field_comparisons: dict):
expected_results = _read_results_file(expected_results_path)
actual_results = _read_results_file(actual_results_path)
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comparison_result = _compare_results(expected_results, actual_results, field_comparisons)
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if not comparison_result:
with open(expected_results_path) as expected_results_file, open(actual_results_path) as actual_results_file:
_printf_stderr(
"===== Expected results =====\n{}\n===== Actual results =====\n{}",
expected_results_file.read(),
actual_results_file.read(),
)
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return comparison_result