from torch import _C from torch._C import _onnx as _C_onnx from torch._C._onnx import ( _CAFFE2_ATEN_FALLBACK, OperatorExportTypes, TensorProtoDataType, TrainingMode, ) from . import ( # usort:skip. Keep the order instead of sorting lexicographically _deprecation, errors, symbolic_caffe2, symbolic_helper, symbolic_opset7, symbolic_opset8, symbolic_opset9, symbolic_opset10, symbolic_opset11, symbolic_opset12, symbolic_opset13, symbolic_opset14, symbolic_opset15, symbolic_opset16, symbolic_opset17, symbolic_opset18, utils, ) # TODO(After 1.13 release): Remove the deprecated SymbolicContext from ._exporter_states import ExportTypes, SymbolicContext from ._type_utils import JitScalarType from .errors import CheckerError # Backwards compatibility from .utils import ( _optimize_graph, _run_symbolic_function, _run_symbolic_method, export, export_to_pretty_string, is_in_onnx_export, register_custom_op_symbolic, select_model_mode_for_export, unregister_custom_op_symbolic, ) from ._internal.exporter import ( # usort:skip. needs to be last to avoid circular import DiagnosticOptions, ExportOptions, ONNXProgram, ONNXProgramSerializer, ONNXRuntimeOptions, InvalidExportOptionsError, OnnxExporterError, OnnxRegistry, dynamo_export, enable_fake_mode, ) from ._internal.onnxruntime import ( is_onnxrt_backend_supported, OrtBackend as _OrtBackend, OrtBackendOptions as _OrtBackendOptions, OrtExecutionProvider as _OrtExecutionProvider, ) __all__ = [ # Modules "symbolic_helper", "utils", "errors", # All opsets "symbolic_caffe2", "symbolic_opset7", "symbolic_opset8", "symbolic_opset9", "symbolic_opset10", "symbolic_opset11", "symbolic_opset12", "symbolic_opset13", "symbolic_opset14", "symbolic_opset15", "symbolic_opset16", "symbolic_opset17", "symbolic_opset18", # Enums "ExportTypes", "OperatorExportTypes", "TrainingMode", "TensorProtoDataType", "JitScalarType", # Public functions "export", "export_to_pretty_string", "is_in_onnx_export", "select_model_mode_for_export", "register_custom_op_symbolic", "unregister_custom_op_symbolic", "disable_log", "enable_log", # Errors "CheckerError", # Backwards compatibility # Dynamo Exporter "DiagnosticOptions", "ExportOptions", "ONNXProgram", "ONNXProgramSerializer", "ONNXRuntimeOptions", "InvalidExportOptionsError", "OnnxExporterError", "OnnxRegistry", "dynamo_export", "enable_fake_mode", # DORT / torch.compile "is_onnxrt_backend_supported", ] # Set namespace for exposed private names ExportTypes.__module__ = "torch.onnx" JitScalarType.__module__ = "torch.onnx" ExportOptions.__module__ = "torch.onnx" ONNXProgram.__module__ = "torch.onnx" ONNXProgramSerializer.__module__ = "torch.onnx" ONNXRuntimeOptions.__module__ = "torch.onnx" dynamo_export.__module__ = "torch.onnx" InvalidExportOptionsError.__module__ = "torch.onnx" OnnxExporterError.__module__ = "torch.onnx" enable_fake_mode.__module__ = "torch.onnx" OnnxRegistry.__module__ = "torch.onnx" DiagnosticOptions.__module__ = "torch.onnx" is_onnxrt_backend_supported.__module__ = "torch.onnx" _OrtExecutionProvider.__module__ = "torch.onnx" _OrtBackendOptions.__module__ = "torch.onnx" _OrtBackend.__module__ = "torch.onnx" producer_name = "pytorch" producer_version = _C_onnx.PRODUCER_VERSION @_deprecation.deprecated( since="1.12.0", removed_in="2.0", instructions="use `torch.onnx.export` instead" ) def _export(*args, **kwargs): return utils._export(*args, **kwargs) # TODO(justinchuby): Deprecate these logging functions in favor of the new diagnostic module. # Returns True iff ONNX logging is turned on. is_onnx_log_enabled = _C._jit_is_onnx_log_enabled def enable_log() -> None: r"""Enables ONNX logging.""" _C._jit_set_onnx_log_enabled(True) def disable_log() -> None: r"""Disables ONNX logging.""" _C._jit_set_onnx_log_enabled(False) """Sets output stream for ONNX logging. Args: stream_name (str, default "stdout"): Only 'stdout' and 'stderr' are supported as ``stream_name``. """ set_log_stream = _C._jit_set_onnx_log_output_stream """A simple logging facility for ONNX exporter. Args: args: Arguments are converted to string, concatenated together with a newline character appended to the end, and flushed to output stream. """ log = _C._jit_onnx_log