File size: 2,106 Bytes
b554a07 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | # Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import onnx
import onnx.onnx_cpp2py_export.inliner as C # noqa: N812
def inline_local_functions(
model: onnx.ModelProto, convert_version: bool = False
) -> onnx.ModelProto:
"""Inline model-local functions in given model.
Arguments:
model: an ONNX ModelProto
convert_version: if true, try to apply automatic version-conversion to functions requiring a
different (ONNX) opset version from the model.
Returns:
ModelProto with all calls to model-local functions inlined (recursively)
"""
result = C.inline_local_functions(model.SerializeToString(), convert_version)
inlined_model = onnx.ModelProto()
inlined_model.ParseFromString(result)
return inlined_model
def inline_selected_functions(
model: onnx.ModelProto,
function_ids: list[tuple[str, str]],
exclude: bool = False,
inline_schema_functions: bool = False,
) -> onnx.ModelProto:
"""Inline selected functions in given model.
Arguments:
model: an ONNX ModelProto
function_ids: list of functions to include/exclude when inlining. Each
element is a tuple of (function domain, function name).
exclude: if true, inlines all functions except those specified in function_ids.
if false, inlines all functions specified in function_ids.
inline_schema_functions: if true, inlines schema-defined functions as well
as model-local functions. Otherwise, only model-local functions are inlined.
Returns:
ModelProto with all calls to model-local functions inlined (recursively)
"""
if inline_schema_functions:
result = C.inline_selected_functions2(
model.SerializeToString(), function_ids, exclude
)
else:
result = C.inline_selected_functions(
model.SerializeToString(), function_ids, exclude
)
inlined_model = onnx.ModelProto()
inlined_model.ParseFromString(result)
return inlined_model
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