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-0.0.4.tar.gz (19.3 kB view details)

Uploaded Source

Built Distribution

torch_tools-0.0.4-py3-none-any.whl (23.6 kB view details)

Uploaded Python 3

File details

Details for the file torch-tools-0.0.4.tar.gz.

File metadata

  • Download URL: torch-tools-0.0.4.tar.gz
  • Upload date:
  • Size: 19.3 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-0.0.4.tar.gz
Algorithm Hash digest
SHA256 6277069fc8f72a1e851591606c8ce9b6ece7d9dcaaa2a7c8c8c35386086208cf
MD5 1065e634583d300d9114f62808400e43
BLAKE2b-256 a73518f166e2c77f172aa0c675e0aa24429823702caf934dbe8a0e7970fb2ed7

See more details on using hashes here.

File details

Details for the file torch_tools-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: torch_tools-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 23.6 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-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 b84d9330381254be4b1ceb3291ff8dc9d42057266fc258e12dbe455067d0cc08
MD5 b753f6372320850bfdcd96345f618185
BLAKE2b-256 589c7955805804e04c616c368fdc84fccc1500c7a8ff993069eafa7675afafb8

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