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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
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