TorchWrapper is a deep learning helper.
Project description
TensorWrapper
TensorWrapper is a extension library for PyTorch framework. It aims to supplement a few of common components: newest optimizer, opeartors, utils, drawer, common structure and etc.
Installation
# create conda environment - based python3.8
conda env create -f environment.yml
conda activate tw
# install torch version respect to cuda version
pip install -r requirements/cu116.txt
make ops2d
python setup.py develop
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
tw-3.12.1.tar.gz
(386.1 kB
view details)
File details
Details for the file tw-3.12.1.tar.gz.
File metadata
- Download URL: tw-3.12.1.tar.gz
- Upload date:
- Size: 386.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c3d0e084fd2e075fa281f5b083df43ec50e8549fcc3cfe09f836b9007fb7d89c |
|
| MD5 | d533cfae876d5d75e52f66fc394d2059 |
|
| BLAKE2b-256 | 577f624cfd929a977db5989a84c6f53d97d9fdcf86a01fc91c823a8025ed7f69 |
