Skip to main content
Pre-release

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:

pip install torch-ort-poc

nightly:

pip install --pre 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

Metadata

Release files for torch-ort-poc 0.0.6.dev20210313

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for torch-ort-poc 0.0.6.dev20210313
File Interpreter ABI Platform
torch_ort_poc-0.0.6.dev20210313-py3-none-any.whl Python 3 none any Details

Release files / torch_ort_poc-0.0.6.dev20210313-py3-none-any.whl

Download URL torch_ort_poc-0.0.6.dev20210313-py3-none-any.whl
Size 2.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fbd2113731842c67411976e8b672ec8785077bb6af06ddac0df5ba5cf8e52c39
BLAKE2b-256 checksum
How to use checksums
4b587a1c9634f95c719f1c2b6b5584823a82da9a221d9b66b2ea8e0b56210ea4
Upload date
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
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page