Conversion script to export transformers models to ONNX IR. (#4253)
* Added generic ONNX conversion script for PyTorch model. * WIP initial TF support. * TensorFlow/Keras ONNX export working. * Print framework version info * Add possibility to check the model is correctly loading on ONNX runtime. * Remove quantization option. * Specify ONNX opset version when exporting. * Formatting. * Remove unused imports. * Make functions more generally reusable from other part of the code. * isort happy. * flake happy * Export only feature-extraction for now * Correctly check inputs order / filter before export. * Removed task variable * Fix invalid args call in load_graph_from_args. * Fix invalid args call in convert. * Fix invalid args call in infer_shapes. * Raise exception and catch in caller function instead of exit. * Add 04-onnx-export.ipynb notebook * More WIP on the notebook * Remove unused imports * Simplify & remove unused constants. * Export with constant_folding in PyTorch * Let's try to put function args in the right order this time ... * Disable external_data_format temporary * ONNX notebook draft ready. * Updated notebooks charts + wording * Correct error while exporting last chart in notebook. * Adressing @LysandreJik comment. * Set ONNX opset to 11 as default value. * Set opset param mandatory * Added ONNX export unittests * Quality. * flake8 happy * Add keras2onnx dependency on extras["tf"] * Pin keras2onnx on github master to v1.6.5 * Second attempt. * Third attempt. * Use the right repo URL this time ... * Do the same for onnxconverter-common * Added keras2onnx and onnxconveter-common to 1.7.0 to supports TF2.2 * Correct commit hash. * Addressing PR review: Optimization are enabled by default. * Addressing PR review: small changes in the notebook * setup.py comment about keras2onnx versioning.
This commit is contained in:
14
setup.py
14
setup.py
@@ -67,8 +67,18 @@ extras = {}
|
||||
|
||||
extras["mecab"] = ["mecab-python3"]
|
||||
extras["sklearn"] = ["scikit-learn"]
|
||||
extras["tf"] = ["tensorflow"]
|
||||
extras["tf-cpu"] = ["tensorflow-cpu"]
|
||||
|
||||
# keras2onnx and onnxconverter-common version is specific through a commit until 1.7.0 lands on pypi
|
||||
extras["tf"] = [
|
||||
"tensorflow",
|
||||
"onnxconverter-common @ git+git://github.com/microsoft/onnxconverter-common.git@f64ca15989b6dc95a1f3507ff6e4c395ba12dff5#egg=onnxconverter-common",
|
||||
"keras2onnx @ git+git://github.com/onnx/keras-onnx.git@cbdc75cb950b16db7f0a67be96a278f8d2953b48#egg=keras2onnx"
|
||||
]
|
||||
extras["tf-cpu"] = [
|
||||
"tensorflow-cpu",
|
||||
"onnxconverter-common @ git+git://github.com/microsoft/onnxconverter-common.git@f64ca15989b6dc95a1f3507ff6e4c395ba12dff5#egg=onnxconverter-common",
|
||||
"keras2onnx @ git+git://github.com/onnx/keras-onnx.git@cbdc75cb950b16db7f0a67be96a278f8d2953b48#egg=keras2onnx"
|
||||
]
|
||||
extras["torch"] = ["torch"]
|
||||
|
||||
extras["serving"] = ["pydantic", "uvicorn", "fastapi", "starlette"]
|
||||
|
||||
Reference in New Issue
Block a user