This release is a pre-release and may not be stable for production use.
training pytorch models with onnxruntime
to build (you need to update version number in version.txt in order to be able to upload python whl):
rm dist/*
python setup.py bdist_wheel
to publish:
twine upload dist/*
to install:
stable:
(uninstall onnxruntime version that do not support gpu and training)
pip install torchort onnxruntime=1.9.0+cu111_training
nightly:
(make sure you are not in the ort repo folder - otherwise torchort is taken as already installed)
pip install --pre torchort ort-gpu-nightly-training
(eventually we are aiming at: pip install --pre torchort onnxruntime=1.9.0+cu111_training)
to test:
python ./ort/tests/bert_for_sequence_classification.py
to use torchort within PyTorch training scripts:
import onnxruntime
from torchort import ORTModule
model = ORTModule(model)
# normal PyTorch training script follows
1 maintainer
Metadata
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Release files for torchort 0.0.7.dev20210317
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| torchort-0.0.7.dev20210317-py3-none-any.whl | Python 3 | none | any | Details for torchort-0.0.7.dev20210317-py3-none-any.whl |
Release files / torchort-0.0.7.dev20210317-py3-none-any.whl
| Download URL | torchort-0.0.7.dev20210317-py3-none-any.whl |
|---|---|
| Size | 2.7 kB |
| Tags | Python 3 |
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twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.5
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