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-2023.9.5.tar.gz (79.9 kB view details)

Uploaded Source

Built Distribution

torchtnt_nightly-2023.9.5-py3-none-any.whl (113.8 kB view details)

Uploaded Python 3

File details

Details for the file torchtnt-nightly-2023.9.5.tar.gz.

File metadata

  • Download URL: torchtnt-nightly-2023.9.5.tar.gz
  • Upload date:
  • Size: 79.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.17

File hashes

Hashes for torchtnt-nightly-2023.9.5.tar.gz
Algorithm Hash digest
SHA256 b8fa7d3a3fbb704700f75dd6c128726ecaed98cb4ae59ec3f86926f81ba65af5
MD5 6de17d2e749e93e30ed3696d4c9d2e77
BLAKE2b-256 5bf38fb2093a5b31e33f952ffc0b6d5a4c6bd280406ae56ed9f2c056086c0995

See more details on using hashes here.

Provenance

File details

Details for the file torchtnt_nightly-2023.9.5-py3-none-any.whl.

File metadata

File hashes

Hashes for torchtnt_nightly-2023.9.5-py3-none-any.whl
Algorithm Hash digest
SHA256 dd3164240ceac8854ba8798fe28407d1a35fe88c5ce660d79092422dd80af47d
MD5 c909c40cbc1587352adad46137fd92de
BLAKE2b-256 0675a19b7b910dd907510d3f6ed77e638b8b4519d8450510c1e1772a5a47527b

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