Coverage for mlprodict/onnx_tools/optim/_main_onnx_optim.py: 100%
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1"""
2@file
3@brief Calls all possible :epkg:`ONNX` optimisations.
4"""
5from .onnx_optimisation import onnx_remove_node
8def onnx_optimisations(onnx_model, recursive=True, debug_info=None, **options):
9 """
10 Calls several possible optimisations including
11 @see fn onnx_remove_node.
13 @param onnx_model onnx model
14 @param recursive looks into subgraphs
15 @param debug_info debug information (private)
16 @param options additional options
17 @return new onnx _model
18 """
19 new_model = onnx_remove_node(
20 onnx_model, recursive=recursive, debug_info=debug_info,
21 **options)
22 return new_model