A simple tool that automatically generates and assigns an OP name to each OP in an old format ONNX file.
Simple op Name Generator for ONNX.
https://github.com/PINTO0309/simple-onnx-processing-tools
- Automatically generates and assigns an OP name to each OP in an old format ONNX file.
### option
$ echo export PATH="~/.local/bin:$PATH" >> ~/.bashrc \
&& source ~/.bashrc
### run
$ pip install -U onnx \
&& python3 -m pip install -U onnx_graphsurgeon --index-url https://pypi.ngc.nvidia.com \
&& pip install -U sng4onnxhttps://github.com/PINTO0309/simple-onnx-processing-tools#docker
$ sng4onnx -h
usage:
sng4onnx [-h]
-if INPUT_ONNX_FILE_PATH
-of OUTPUT_ONNX_FILE_PATH
[-n]
optional arguments:
-h, --help
show this help message and exit.
-if INPUT_ONNX_FILE_PATH, --input_onnx_file_path INPUT_ONNX_FILE_PATH
Input onnx file path.
-of OUTPUT_ONNX_FILE_PATH, --output_onnx_file_path OUTPUT_ONNX_FILE_PATH
Output onnx file path.
-n, --non_verbose
Do not show all information logs. Only error logs are displayed.
>>> from sng4onnx import generate
>>> help(generate)
Help on function generate in module sng4onnx.onnx_opname_generator:
generate(
input_onnx_file_path: Union[str, NoneType] = '',
onnx_graph: Union[onnx.onnx_ml_pb2.ModelProto, NoneType] = None,
output_onnx_file_path: Union[str, NoneType] = '',
non_verbose: Union[bool, NoneType] = False
) -> onnx.onnx_ml_pb2.ModelProto
Parameters
----------
input_onnx_file_path: Optional[str]
Input onnx file path.
Either input_onnx_file_path or onnx_graph must be specified.
Default: ''
onnx_graph: Optional[onnx.ModelProto]
onnx.ModelProto.
Either input_onnx_file_path or onnx_graph must be specified.
onnx_graph If specified, ignore input_onnx_file_path and process onnx_graph.
output_onnx_file_path: Optional[str]
Output onnx file path. If not specified, no ONNX file is output.
Default: ''
non_verbose: Optional[bool]
Do not show all information logs. Only error logs are displayed.
Default: False
Returns
-------
renamed_graph: onnx.ModelProto
Renamed onnx ModelProto.$ sng4onnx \
--input_onnx_file_path emotion-ferplus-8.onnx \
--output_onnx_file_path emotion-ferplus-8_renamed.onnxfrom sng4onnx import generate
onnx_graph = generate(
input_onnx_file_path="fusionnet_180x320.onnx",
output_onnx_file_path="fusionnet_180x320_renamed.onnx",
)https://github.com/onnx/models/blob/main/vision/classification/resnet/model/resnet18-v1-7.onnx
- https://github.com/onnx/onnx/blob/main/docs/Operators.md
- https://docs.nvidia.com/deeplearning/tensorrt/onnx-graphsurgeon/docs/index.html
- https://github.com/NVIDIA/TensorRT/tree/main/tools/onnx-graphsurgeon
- https://github.com/PINTO0309/simple-onnx-processing-tools
- https://github.com/PINTO0309/PINTO_model_zoo
https://github.com/PINTO0309/simple-onnx-processing-tools/issues