sor4onnx


Namesor4onnx JSON
Version 1.0.6 PyPI version JSON
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home_pagehttps://github.com/PINTO0309/sor4onnx
SummarySimple OP Renamer for ONNX.
upload_time2024-04-30 06:35:09
maintainerNone
docs_urlNone
authorKatsuya Hyodo
requires_python>=3.6
licenseMIT License
keywords
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            # sor4onnx
**S**imple **O**P **R**enamer for **ONNX**.

https://github.com/PINTO0309/simple-onnx-processing-tools

[![Downloads](https://static.pepy.tech/personalized-badge/sor4onnx?period=total&units=none&left_color=grey&right_color=brightgreen&left_text=Downloads)](https://pepy.tech/project/sor4onnx) ![GitHub](https://img.shields.io/github/license/PINTO0309/sor4onnx?color=2BAF2B) [![PyPI](https://img.shields.io/pypi/v/sor4onnx?color=2BAF2B)](https://pypi.org/project/sor4onnx/) [![CodeQL](https://github.com/PINTO0309/sor4onnx/workflows/CodeQL/badge.svg)](https://github.com/PINTO0309/sor4onnx/actions?query=workflow%3ACodeQL)

<p align="center">
  <img src="https://user-images.githubusercontent.com/33194443/170158065-9a81787b-86ad-4971-857d-5f4185dfcf0b.png" />
</p>

# Key concept


- [x] Performs a partial match search on the specified string and replaces all input and output names with the specified string.

## 1. Setup
### 1-1. HostPC
```bash
### 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 sor4onnx
```
### 1-2. Docker
https://github.com/PINTO0309/simple-onnx-processing-tools#docker

## 2. CLI Usage
```
$ sor4onnx -h

usage:
  sor4onnx [-h]
  -if INPUT_ONNX_FILE_PATH
  -on OLD_NEW OLD_NEW
  -of OUTPUT_ONNX_FILE_PATH
  [-m {full,inputs,outputs}]
  [-sm {exact_match,partial_match,prefix_match,suffix_match}]
  [-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.

  -on OLD_NEW OLD_NEW, --old_new OLD_NEW OLD_NEW
      All occurrences of substring old replaced by new.
      e.g. --old_new "onnx::" ""

  -of OUTPUT_ONNX_FILE_PATH, --output_onnx_file_path OUTPUT_ONNX_FILE_PATH
      Output onnx file path.

  -m {full,inputs,outputs}, --mode {full,inputs,outputs}
      Specifies the type of node to be replaced.
      full or inputs or outputs.
      full: Rename all nodes.
      inputs: Rename only the input node.
      outputs: Rename only the output node.
      Default: full

  -sm {exact_match,partial_match,prefix_match,suffix_match}, --search_mode {exact_match,partial_match,prefix_match,suffix_match}
      OP name search mode.
      exact_match or partial_match or prefix_match or suffix_match.
      exact_match: Exact match search for OP name.
      partial_match: Partial match search for OP name.
      prefix_match: Prefix match search for OP name.
      suffix_match: Suffix match search for OP name.
      Default: exact_match

  -n, --non_verbose
      Do not show all information logs. Only error logs are displayed.
```

## 3. In-script Usage
```python
>>> from sor4onnx import rename
>>> help(rename)

Help on function rename in module sor4onnx.onnx_opname_renamer:

rename(
    old_new: List[str],
    input_onnx_file_path: Union[str, NoneType] = '',
    onnx_graph: Union[onnx.onnx_ml_pb2.ModelProto, NoneType] = None,
    output_onnx_file_path: Union[str, NoneType] = '',
    mode: Union[str, NoneType] = 'full',
    search_mode: Union[str, NoneType] = 'exact_match',
    non_verbose: Union[bool, NoneType] = False
) -> onnx.onnx_ml_pb2.ModelProto

    Parameters
    ----------
    old_new: List[str]
        All occurrences of substring old replaced by new.
        e.g.
        old_new = ["onnx::", ""]

    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: ''

    mode: Optional[str]
        Specifies the type of node to be replaced.
        full or inputs or outputs.
        full: Rename all nodes.
        inputs: Rename only the input node.
        outputs: Rename only the output node.
        Default: full

    search_mode: Optional[str]
        OP name search mode.
        exact_match or partial_match or prefix_match or suffix_match.
        exact_match: Exact match search for OP name.
        partial_match: Partial match search for OP name.
        prefix_match: Prefix match search for OP name.
        suffix_match: Suffix match search for OP name.
        Default: exact_match

    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.
```

## 4. CLI Execution
```bash
$ sor4onnx \
--input_onnx_file_path fusionnet_180x320.onnx \
--old_new "onnx::" "" \
--mode full \
--search_mode prefix_match \
--output_onnx_file_path fusionnet_180x320_renamed.onnx
```

## 5. In-script Execution
```python
from sor4onnx import rename

onnx_graph = rename(
  old_new=["onnx::", ""],
  input_onnx_file_path="fusionnet_180x320.onnx",
  output_onnx_file_path="fusionnet_180x320_renamed.onnx",
  mode="full",
  search_mode="prefix_match",
)

# or

onnx_graph = rename(
  old_new=["onnx::", ""],
  onnx_graph=graph,
  mode="full",
  search_mode="prefix_match",
)
```

## 6. Sample
### Before
![image](https://user-images.githubusercontent.com/33194443/166736425-54b19eab-b025-441c-a1ce-79c075a9b26f.png)

### After
![image](https://user-images.githubusercontent.com/33194443/166736670-a784850b-bec3-4d74-95a4-dd67738ac481.png)

## 7. Reference
1. https://github.com/onnx/onnx/blob/main/docs/Operators.md
2. https://docs.nvidia.com/deeplearning/tensorrt/onnx-graphsurgeon/docs/index.html
3. https://github.com/NVIDIA/TensorRT/tree/main/tools/onnx-graphsurgeon
4. https://github.com/PINTO0309/simple-onnx-processing-tools
5. https://github.com/PINTO0309/PINTO_model_zoo

## 8. Issues
https://github.com/PINTO0309/simple-onnx-processing-tools/issues

            

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    "description": "# sor4onnx\n**S**imple **O**P **R**enamer for **ONNX**.\n\nhttps://github.com/PINTO0309/simple-onnx-processing-tools\n\n[![Downloads](https://static.pepy.tech/personalized-badge/sor4onnx?period=total&units=none&left_color=grey&right_color=brightgreen&left_text=Downloads)](https://pepy.tech/project/sor4onnx) ![GitHub](https://img.shields.io/github/license/PINTO0309/sor4onnx?color=2BAF2B) [![PyPI](https://img.shields.io/pypi/v/sor4onnx?color=2BAF2B)](https://pypi.org/project/sor4onnx/) [![CodeQL](https://github.com/PINTO0309/sor4onnx/workflows/CodeQL/badge.svg)](https://github.com/PINTO0309/sor4onnx/actions?query=workflow%3ACodeQL)\n\n<p align=\"center\">\n  <img src=\"https://user-images.githubusercontent.com/33194443/170158065-9a81787b-86ad-4971-857d-5f4185dfcf0b.png\" />\n</p>\n\n# Key concept\n\n\n- [x] Performs a partial match search on the specified string and replaces all input and output names with the specified string.\n\n## 1. Setup\n### 1-1. HostPC\n```bash\n### option\n$ echo export PATH=\"~/.local/bin:$PATH\" >> ~/.bashrc \\\n&& source ~/.bashrc\n\n### run\n$ pip install -U onnx \\\n&& python3 -m pip install -U onnx_graphsurgeon --index-url https://pypi.ngc.nvidia.com \\\n&& pip install -U sor4onnx\n```\n### 1-2. Docker\nhttps://github.com/PINTO0309/simple-onnx-processing-tools#docker\n\n## 2. CLI Usage\n```\n$ sor4onnx -h\n\nusage:\n  sor4onnx [-h]\n  -if INPUT_ONNX_FILE_PATH\n  -on OLD_NEW OLD_NEW\n  -of OUTPUT_ONNX_FILE_PATH\n  [-m {full,inputs,outputs}]\n  [-sm {exact_match,partial_match,prefix_match,suffix_match}]\n  [-n]\n\noptional arguments:\n  -h, --help\n      show this help message and exit.\n\n  -if INPUT_ONNX_FILE_PATH, --input_onnx_file_path INPUT_ONNX_FILE_PATH\n      Input onnx file path.\n\n  -on OLD_NEW OLD_NEW, --old_new OLD_NEW OLD_NEW\n      All occurrences of substring old replaced by new.\n      e.g. --old_new \"onnx::\" \"\"\n\n  -of OUTPUT_ONNX_FILE_PATH, --output_onnx_file_path OUTPUT_ONNX_FILE_PATH\n      Output onnx file path.\n\n  -m {full,inputs,outputs}, --mode {full,inputs,outputs}\n      Specifies the type of node to be replaced.\n      full or inputs or outputs.\n      full: Rename all nodes.\n      inputs: Rename only the input node.\n      outputs: Rename only the output node.\n      Default: full\n\n  -sm {exact_match,partial_match,prefix_match,suffix_match}, --search_mode {exact_match,partial_match,prefix_match,suffix_match}\n      OP name search mode.\n      exact_match or partial_match or prefix_match or suffix_match.\n      exact_match: Exact match search for OP name.\n      partial_match: Partial match search for OP name.\n      prefix_match: Prefix match search for OP name.\n      suffix_match: Suffix match search for OP name.\n      Default: exact_match\n\n  -n, --non_verbose\n      Do not show all information logs. Only error logs are displayed.\n```\n\n## 3. In-script Usage\n```python\n>>> from sor4onnx import rename\n>>> help(rename)\n\nHelp on function rename in module sor4onnx.onnx_opname_renamer:\n\nrename(\n    old_new: List[str],\n    input_onnx_file_path: Union[str, NoneType] = '',\n    onnx_graph: Union[onnx.onnx_ml_pb2.ModelProto, NoneType] = None,\n    output_onnx_file_path: Union[str, NoneType] = '',\n    mode: Union[str, NoneType] = 'full',\n    search_mode: Union[str, NoneType] = 'exact_match',\n    non_verbose: Union[bool, NoneType] = False\n) -> onnx.onnx_ml_pb2.ModelProto\n\n    Parameters\n    ----------\n    old_new: List[str]\n        All occurrences of substring old replaced by new.\n        e.g.\n        old_new = [\"onnx::\", \"\"]\n\n    input_onnx_file_path: Optional[str]\n        Input onnx file path.\n        Either input_onnx_file_path or onnx_graph must be specified.\n        Default: ''\n\n    onnx_graph: Optional[onnx.ModelProto]\n        onnx.ModelProto.\n        Either input_onnx_file_path or onnx_graph must be specified.\n        onnx_graph If specified, ignore input_onnx_file_path and process onnx_graph.\n\n    output_onnx_file_path: Optional[str]\n        Output onnx file path. If not specified, no ONNX file is output.\n        Default: ''\n\n    mode: Optional[str]\n        Specifies the type of node to be replaced.\n        full or inputs or outputs.\n        full: Rename all nodes.\n        inputs: Rename only the input node.\n        outputs: Rename only the output node.\n        Default: full\n\n    search_mode: Optional[str]\n        OP name search mode.\n        exact_match or partial_match or prefix_match or suffix_match.\n        exact_match: Exact match search for OP name.\n        partial_match: Partial match search for OP name.\n        prefix_match: Prefix match search for OP name.\n        suffix_match: Suffix match search for OP name.\n        Default: exact_match\n\n    non_verbose: Optional[bool]\n        Do not show all information logs. Only error logs are displayed.\n        Default: False\n\n    Returns\n    -------\n    renamed_graph: onnx.ModelProto\n        Renamed onnx ModelProto.\n```\n\n## 4. CLI Execution\n```bash\n$ sor4onnx \\\n--input_onnx_file_path fusionnet_180x320.onnx \\\n--old_new \"onnx::\" \"\" \\\n--mode full \\\n--search_mode prefix_match \\\n--output_onnx_file_path fusionnet_180x320_renamed.onnx\n```\n\n## 5. In-script Execution\n```python\nfrom sor4onnx import rename\n\nonnx_graph = rename(\n  old_new=[\"onnx::\", \"\"],\n  input_onnx_file_path=\"fusionnet_180x320.onnx\",\n  output_onnx_file_path=\"fusionnet_180x320_renamed.onnx\",\n  mode=\"full\",\n  search_mode=\"prefix_match\",\n)\n\n# or\n\nonnx_graph = rename(\n  old_new=[\"onnx::\", \"\"],\n  onnx_graph=graph,\n  mode=\"full\",\n  search_mode=\"prefix_match\",\n)\n```\n\n## 6. Sample\n### Before\n![image](https://user-images.githubusercontent.com/33194443/166736425-54b19eab-b025-441c-a1ce-79c075a9b26f.png)\n\n### After\n![image](https://user-images.githubusercontent.com/33194443/166736670-a784850b-bec3-4d74-95a4-dd67738ac481.png)\n\n## 7. Reference\n1. https://github.com/onnx/onnx/blob/main/docs/Operators.md\n2. https://docs.nvidia.com/deeplearning/tensorrt/onnx-graphsurgeon/docs/index.html\n3. https://github.com/NVIDIA/TensorRT/tree/main/tools/onnx-graphsurgeon\n4. https://github.com/PINTO0309/simple-onnx-processing-tools\n5. https://github.com/PINTO0309/PINTO_model_zoo\n\n## 8. Issues\nhttps://github.com/PINTO0309/simple-onnx-processing-tools/issues\n",
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