Skip to main content

TorchZQ: A simple PyTorch experiment runner.

Project description

TorchZQ: A simple PyTorch experiment runner.

Zouqi (『走起』 in Chinese) means "let's go". When you zouqi your experiment, the experiment will go with you.

Installation

Install from PyPI:

pip install torchzq

Install the latest version:

pip install git+https://github.com/enhuiz/torchzq@master

Run an Example

Training

$ zouqi example/config/mnist.yml train

Testing

$ zouqi example/config/mnist.yml test

TensorBoard

$ tensorboard --logdir logs

Supported Features

  • Model checkpoints
  • Logging
  • Gradient accumulation
  • Configuration file
  • Configuration file inheritance
  • TensorBoard
  • (c)GAN training (WGAN-GP)
  • FP16

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

torchzq-1.0.6.tar.gz (11.2 kB view details)

Uploaded Source

Built Distribution

torchzq-1.0.6-py3-none-any.whl (14.5 kB view details)

Uploaded Python 3

File details

Details for the file torchzq-1.0.6.tar.gz.

File metadata

  • Download URL: torchzq-1.0.6.tar.gz
  • Upload date:
  • Size: 11.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1

File hashes

Hashes for torchzq-1.0.6.tar.gz
Algorithm Hash digest
SHA256 a81864ba60e94f0a7d24f110314e77fb356884237641014d9d2aac62295bf78a
MD5 67c3926022e260576a6a92c87b5b818a
BLAKE2b-256 b5ceba854c76f48655aa02a56104d803f230c47fc61418da592a1d9751546703

See more details on using hashes here.

File details

Details for the file torchzq-1.0.6-py3-none-any.whl.

File metadata

  • Download URL: torchzq-1.0.6-py3-none-any.whl
  • Upload date:
  • Size: 14.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1

File hashes

Hashes for torchzq-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 c7d8c4efa13bc6cd5077e83bc2f60734aacaf6ac657b73d4dd0672195517cc62
MD5 71f81e26ce0c34225521e0da27efabc7
BLAKE2b-256 7e7c69d8524086b96285c14b4baa744da4b623d53485d1a1de7ab242379783f6

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