Skip to main content

A lightweight library for PyTorch training tools and utilities

Project description

TNT

TNT is a library for PyTorch training tools and utilities.

build status pypi version pypi version pypi nightly version codecov bsd license documentation status

Installation

TNT can be installed with pip:

pip install torchtnt

Or, alternatively, via conda:

conda install -c conda-forge torchtnt

If you run into issues, make sure that Pytorch is installed first.

You can also install the latest version from master. Just run:

pip install git+https://github.com/pytorch/tnt.git@master

To update to the latest version from master:

pip install --upgrade git+https://github.com/pytorch/tnt.git@master

Project details


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

torchtnt-nightly-2023.10.16.tar.gz (85.0 kB view details)

Uploaded Source

Built Distribution

torchtnt_nightly-2023.10.16-py3-none-any.whl (121.4 kB view details)

Uploaded Python 3

File details

Details for the file torchtnt-nightly-2023.10.16.tar.gz.

File metadata

  • Download URL: torchtnt-nightly-2023.10.16.tar.gz
  • Upload date:
  • Size: 85.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for torchtnt-nightly-2023.10.16.tar.gz
Algorithm Hash digest
SHA256 aade9e8e98926710a906c1d95fd3a545d10f9c4da1bc4690f60adefdedb0cbbd
MD5 5144c8ff0b85a387d52bb514863af70e
BLAKE2b-256 605091e91a57758d210e5494a8f2e19510fd108f7997b354eae8d0e02e24e5a8

See more details on using hashes here.

Provenance

File details

Details for the file torchtnt_nightly-2023.10.16-py3-none-any.whl.

File metadata

File hashes

Hashes for torchtnt_nightly-2023.10.16-py3-none-any.whl
Algorithm Hash digest
SHA256 1e299547ab181024f8de84bcc17b876d8aaa036528437e22935eae5af6cd6726
MD5 dc5bb1f30b890f649d28fd7fb54544f6
BLAKE2b-256 c9378eb04ba2dcb5b87b72ad1770bd3c430479f5b149c32abe324c5051b31159

See more details on using hashes here.

Provenance

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