Skip to main content

A library of helpers to train, evaluate and visualize deep nets with PyTorch.

Project description

Readme

A library of helpers for PyTorch.

Michaël Gharbi <mgharbi@adobe.com>

Installation

From pip: pip install torch-tools

From source: python setup.py install

Documentation

The documentation webpage can be found here https://torch-tools.readthedocs.io/en/latest/

Demo

For a simple demo, look at the MNIST example in examples/train_mnist.py:

python examples/train_mnist.py data out

Contributors

Dima Smirnov implemented the tensorboard hooks and callbacks.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

torch-tools-0.0.8.tar.gz (20.3 kB view details)

Uploaded Source

Built Distribution

torch_tools-0.0.8-py3-none-any.whl (24.6 kB view details)

Uploaded Python 3

File details

Details for the file torch-tools-0.0.8.tar.gz.

File metadata

  • Download URL: torch-tools-0.0.8.tar.gz
  • Upload date:
  • Size: 20.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.4

File hashes

Hashes for torch-tools-0.0.8.tar.gz
Algorithm Hash digest
SHA256 9f79c1356c93ab99bd8e297272a54c545232f6a1bb0ae0fa97648662c5156f60
MD5 44c1f6f8caec0dd8e4372a3cfe84bb53
BLAKE2b-256 ca6fcb7cd80cf60c953ff711568684d80404866083052410738342eb03f175ef

See more details on using hashes here.

File details

Details for the file torch_tools-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: torch_tools-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 24.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.19.1 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.4

File hashes

Hashes for torch_tools-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 dff3c29f406effb86135ad43ea86552636fca857f5aaaf8079d3a787d2fe09c0
MD5 9328362906924a786f0574e56830e1aa
BLAKE2b-256 57777039778c6937397f678e981e5d32b21aed1a79792de3e1aca7364a71eede

See more details on using hashes here.

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