Skip to main content

pytorch training tools

Project description

basenet

Classes wrapping basic pytorch functionality.

  • Train for an epoch
  • Eval for an epoch
  • Predict
  • Learning rate schedules
Installation
conda create -n basenet4_env python=3.6 pip -y
source activate basenet4_env

pip install -r requirements.txt
conda install -y pytorch torchvision cuda90 -c pytorch
pip install -e .

Examples

cd examples/cifar
./run.sh

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

basenet-0.1.0.tar.gz (10.0 kB view details)

Uploaded Source

File details

Details for the file basenet-0.1.0.tar.gz.

File metadata

  • Download URL: basenet-0.1.0.tar.gz
  • Upload date:
  • Size: 10.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10

File hashes

Hashes for basenet-0.1.0.tar.gz
Algorithm Hash digest
SHA256 b731f852d6d444897faca9bd86309d21d7b0bcf2a475138a2fa90be358c5e86f
MD5 7db6b571fb46083a11ab442f92f246f7
BLAKE2b-256 798b9ea5bdcb83c5729312f0e81bc738aec8ee0c25a3f3d7c19ec6268aec02a1

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