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### Description * Update python version metadata to be in sync with latest python packages (onnxruntime, onnxruntime-gpu and onnxruntime-qnn). * Update black format target-version to 3.10, and use lintrunner to format all files. * Update the lintrunner installation command line to be consistent. * Include `requirements-lintrunner.txt` in `requirements-dev.txt` to avoid duplicated settings. ### Motivation and Context https://github.com/microsoft/onnxruntime/issues/22993 Python support by numpy: https://numpy.org/neps/nep-0029-deprecation_policy.html#drop-schedule ``` On Apr 05, 2024 drop support for Python 3.9 On Apr 04, 2025 drop support for Python 3.10 ``` |
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| .. | ||
| experimental | ||
| graph_optimizers | ||
| torch_cpp_extensions | ||
| __init__.py | ||
| _custom_autograd_function.py | ||
| _custom_autograd_function_exporter.py | ||
| _custom_gradient_registry.py | ||
| _custom_op_symbolic_registry.py | ||
| _execution_agent.py | ||
| _fallback.py | ||
| _fallback_exceptions.py | ||
| _gradient_accumulation_manager.py | ||
| _graph_execution_interface.py | ||
| _graph_execution_manager.py | ||
| _graph_execution_manager_factory.py | ||
| _graph_transition_manager.py | ||
| _inference_manager.py | ||
| _io.py | ||
| _logger.py | ||
| _mem_efficient_grad_mgmt.py | ||
| _onnx_models.py | ||
| _pythonop_helper.py | ||
| _runtime_inspector.py | ||
| _torch_module_factory.py | ||
| _torch_module_interface.py | ||
| _torch_module_ort.py | ||
| _torch_module_pytorch.py | ||
| _training_manager.py | ||
| _utils.py | ||
| _zero_stage3_compatibility.py | ||
| graph_optimizer_registry.py | ||
| options.py | ||
| ortmodule.py | ||