training pytorch models with onnxruntime
to build (you need to increase version minor number in version.txt in order to upload python whl):
rm dist/*
python setup.py bdist_wheel
to publish:
twine upload dist/*
to install:
pip install torch-ort-poc
to use torch_ort within PyTorch training scripts:
import onnxruntime
from torch_ort import ORTModule
model = ORTModule(model)
# normal PyTorch training script follows
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Release files for torch-ort-poc 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_ort_poc-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Release files / torch_ort_poc-0.0.4-py3-none-any.whl
| Download URL | torch_ort_poc-0.0.4-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
5955d94c18034936902d4ca8ad328ec981e4ecf4086036f490afafed7372ee7f
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BLAKE2b-256 checksum How to use checksums |
49cf0a9083c1d622093fea3547ac04cf862ac7546623c7f1170840d5c14e77a9
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
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