This library offers an implementation of PyTorch’s preprocessing and inference steps using the OpenVINO API, effectively serving as an adapter for PyTorch.
Project description
torch_adapter
Requirments:
- python >= 3.9
- venv
[!IMPORTANT] If you encounter any issues or believe some dependencies are missing, please don't hesitate to contact me. Also, ensure to double-check each command to confirm that everything is functioning as expected.
git clone git@github.com:LucaTamSapienza/torch_adapter.git
cd torch_adapter
git checkout pre-release
python3.9 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
You may need to export your PYTHONPATH to point to the torch_adapter directory:
export PYTHONPATH=$PYTHONPATH:path_to_torch_adapter
[!NOTE] Please replace path_to_torch_adapter with the actual path to the torch_adapter directory on your system.
Now you can check if everything works by running pytest tests/
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file torch_adapter-0.1.0.tar.gz.
File metadata
- Download URL: torch_adapter-0.1.0.tar.gz
- Upload date:
- Size: 13.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8c1fef6dd6c903cbbef993b580398fd908437b20fcc64230efe8303445c6c92e |
|
| MD5 | 4b10225ccdf0eb6c9978973d0264c245 |
|
| BLAKE2b-256 | 4307719f77c1083c896f0a986bf980414623134237475b67f7b81ce0727ddc02 |
File details
Details for the file torch_adapter-0.1.0-py3-none-any.whl.
File metadata
- Download URL: torch_adapter-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9e7b55370dce7a11f8c65b6a1729164a686ac6d3857993244df9ec2eabcad658 |
|
| MD5 | 51c74a6ce7c2ac09208620cf3d0023c8 |
|
| BLAKE2b-256 | 43cfa2ecfdcce3ec12408e25de4c51fb2b202cd6139aa3936f62f78381234469 |
