onnxruntime/tools/python/util/__init__append.py

# appended to the __init__.py in the onnxruntime module's 'tools' folder from /tools/python/util/__init__append.py
import importlib.util

have_torch = importlib.util.find_spec("torch")
if have_torch:
    from .pytorch_export_helpers import infer_input_info  # noqa: F401
Fix a couple of issues with the python package tools (#10858) * Tweaks to the model utils * Add handling for a dim_value of -1 when replacing the entire input shape. This occurs in models exported from PaddlePaddle * make pytorch helpers accessible in package * make QDQ helpers accessible in package 2022-03-15 05:52:12 +00:00			`# appended to the __init__.py in the onnxruntime module's 'tools' folder from /tools/python/util/__init__append.py`
			`import importlib.util`
Format all python files under onnxruntime with black and isort (#11324) Description: Format all python files under onnxruntime with black and isort. After checking in, we can use .git-blame-ignore-revs to ignore the formatting PR in git blame. #11315, #11316 2022-04-26 16:35:16 +00:00
Fix a couple of issues with the python package tools (#10858) * Tweaks to the model utils * Add handling for a dim_value of -1 when replacing the entire input shape. This occurs in models exported from PaddlePaddle * make pytorch helpers accessible in package * make QDQ helpers accessible in package 2022-03-15 05:52:12 +00:00			`have_torch = importlib.util.find_spec("torch")`
			`if have_torch:`
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> 2023-03-24 22:29:03 +00:00			`from .pytorch_export_helpers import infer_input_info # noqa: F401`