xref: /aosp_15_r20/external/pytorch/torch/onnx/_globals.py (revision da0073e96a02ea20f0ac840b70461e3646d07c45)
1# mypy: allow-untyped-defs
2"""Globals used internally by the ONNX exporter.
3
4Do not use this module outside of `torch.onnx` and its tests.
5
6Be very judicious when adding any new global variables. Do not create new global
7variables unless they are absolutely necessary.
8"""
9
10import torch._C._onnx as _C_onnx
11
12# This module should only depend on _constants and nothing else in torch.onnx to keep
13# dependency direction clean.
14from torch.onnx import _constants
15
16
17class _InternalGlobals:
18    """Globals used internally by ONNX exporter.
19
20    NOTE: Be very judicious when adding any new variables. Do not create new
21    global variables unless they are absolutely necessary.
22    """
23
24    def __init__(self) -> None:
25        self._export_onnx_opset_version = _constants.ONNX_DEFAULT_OPSET
26        self._training_mode: _C_onnx.TrainingMode = _C_onnx.TrainingMode.EVAL
27        self._in_onnx_export: bool = False
28        # Whether the user's model is training during export
29        self.export_training: bool = False
30        self.operator_export_type: _C_onnx.OperatorExportTypes = (
31            _C_onnx.OperatorExportTypes.ONNX
32        )
33        self.onnx_shape_inference: bool = True
34        self._autograd_inlining: bool = True
35
36    @property
37    def training_mode(self):
38        """The training mode for the exporter."""
39        return self._training_mode
40
41    @training_mode.setter
42    def training_mode(self, training_mode: _C_onnx.TrainingMode):
43        if not isinstance(training_mode, _C_onnx.TrainingMode):
44            raise TypeError(
45                "training_mode must be of type 'torch.onnx.TrainingMode'. This is "
46                "likely a bug in torch.onnx."
47            )
48        self._training_mode = training_mode
49
50    @property
51    def export_onnx_opset_version(self) -> int:
52        """Opset version used during export."""
53        return self._export_onnx_opset_version
54
55    @export_onnx_opset_version.setter
56    def export_onnx_opset_version(self, value: int):
57        supported_versions = range(
58            _constants.ONNX_MIN_OPSET, _constants.ONNX_MAX_OPSET + 1
59        )
60        if value not in supported_versions:
61            raise ValueError(f"Unsupported ONNX opset version: {value}")
62        self._export_onnx_opset_version = value
63
64    @property
65    def in_onnx_export(self) -> bool:
66        """Whether it is in the middle of ONNX export."""
67        return self._in_onnx_export
68
69    @in_onnx_export.setter
70    def in_onnx_export(self, value: bool):
71        if type(value) is not bool:
72            raise TypeError("in_onnx_export must be a boolean")
73        self._in_onnx_export = value
74
75    @property
76    def autograd_inlining(self) -> bool:
77        """Whether Autograd must be inlined."""
78        return self._autograd_inlining
79
80    @autograd_inlining.setter
81    def autograd_inlining(self, value: bool):
82        if type(value) is not bool:
83            raise TypeError("autograd_inlining must be a boolean")
84        self._autograd_inlining = value
85
86
87GLOBALS = _InternalGlobals()
88