Skip to main content

training Pytorch models with onnxruntime

Project description

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:

pip install torch-ort

nightly:

pip install --pre torch-ort

to use torch_ort within PyTorch training scripts:

import onnxruntime
from torch_ort import ORTModule
model = ORTModule(model)
# normal PyTorch training script follows

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

torch_ort-0.0.7.dev20210314-py3-none-any.whl (2.6 kB view details)

Uploaded Python 3

File details

Details for the file torch_ort-0.0.7.dev20210314-py3-none-any.whl.

File metadata

  • Download URL: torch_ort-0.0.7.dev20210314-py3-none-any.whl
  • Upload date:
  • Size: 2.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.5

File hashes

Hashes for torch_ort-0.0.7.dev20210314-py3-none-any.whl
Algorithm Hash digest
SHA256 5a4a0e1d322ff7281c1b4c098bb252d1ed7d8cb1178dd575e615963467fd4a63
MD5 e7b3e54016584c6f65119296bf93a31c
BLAKE2b-256 9f33ca7d39eec06ecad89a3aa018e73baa119653ebf66cf28f4cf39009d9fc72

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page