""" GENERATED CODE - DO NOT EDIT DIRECTLY This file is generated by gen_diagnostics.py. See tools/onnx/gen_diagnostics.py for more information. Diagnostic rules for PyTorch ONNX export. """ import dataclasses # flake8: noqa from torch.onnx._internal.diagnostics import infra @dataclasses.dataclass class _POERules(infra.RuleCollection): node_missing_onnx_shape_inference: infra.Rule = dataclasses.field( default=infra.Rule.from_sarif( **{ "id": "POE0001", "name": "node-missing-onnx-shape-inference", "short_description": {"text": "Node is missing ONNX shape inference."}, "full_description": { "text": "", "markdown": "Node is missing ONNX shape inference.\nThis usually happens when the node is not valid under standard ONNX operator spec.\n", }, "message_strings": { "default": { "text": "The shape inference of {0} type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function." } }, "help_uri": None, "properties": {"deprecated": False, "tags": []}, } ), init=False, ) """Node is missing ONNX shape inference.""" missing_custom_symbolic_function: infra.Rule = dataclasses.field( default=infra.Rule.from_sarif( **{ "id": "POE0002", "name": "missing-custom-symbolic-function", "short_description": { "text": "Missing symbolic function for custom PyTorch operator, cannot translate node to ONNX." }, "full_description": { "text": "", "markdown": "Missing symbolic function for custom PyTorch operator, cannot translate node to ONNX.\n", }, "message_strings": { "default": { "text": "ONNX export failed on an operator with unrecognized namespace {0}. If you are trying to export a custom operator, make sure you registered it with the right domain and version." } }, "help_uri": None, "properties": {"deprecated": False, "tags": []}, } ), init=False, ) """Missing symbolic function for custom PyTorch operator, cannot translate node to ONNX.""" missing_standard_symbolic_function: infra.Rule = dataclasses.field( default=infra.Rule.from_sarif( **{ "id": "POE0003", "name": "missing-standard-symbolic-function", "short_description": { "text": "Missing symbolic function for standard PyTorch operator, cannot translate node to ONNX." }, "full_description": { "text": "", "markdown": "Missing symbolic function for standard PyTorch operator, cannot translate node to ONNX.\n", }, "message_strings": { "default": { "text": "Exporting the operator '{0}' to ONNX opset version {1} is not supported. Please feel free to request support or submit a pull request on PyTorch GitHub: {2}." } }, "help_uri": None, "properties": {"deprecated": False, "tags": []}, } ), init=False, ) """Missing symbolic function for standard PyTorch operator, cannot translate node to ONNX.""" operator_supported_in_newer_opset_version: infra.Rule = dataclasses.field( default=infra.Rule.from_sarif( **{ "id": "POE0004", "name": "operator-supported-in-newer-opset-version", "short_description": { "text": "Operator is supported in newer opset version." }, "full_description": { "text": "", "markdown": "Operator is supported in newer opset version.\n\nExample:\n```python\ntorch.onnx.export(model, args, ..., opset_version=9)\n```\n", }, "message_strings": { "default": { "text": "Exporting the operator '{0}' to ONNX opset version {1} is not supported. Support for this operator was added in version {2}, try exporting with this version." } }, "help_uri": None, "properties": {"deprecated": False, "tags": []}, } ), init=False, ) """Operator is supported in newer opset version.""" rules = _POERules()