Skip to main content

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

Release files for basenet 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for basenet 0.1.0
File Size Uploaded
basenet-0.1.0.tar.gz 10.0 kB Details

Release files / basenet-0.1.0.tar.gz

Download URL basenet-0.1.0.tar.gz
Size 10.0 kB
Tags Source
SHA-256 checksum
How to use checksums
b731f852d6d444897faca9bd86309d21d7b0bcf2a475138a2fa90be358c5e86f
BLAKE2b-256 checksum
How to use checksums
798b9ea5bdcb83c5729312f0e81bc738aec8ee0c25a3f3d7c19ec6268aec02a1
Upload date
Uploaded using Trusted Publishing?
What is 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

Release history Release notifications | RSS feed

This release

0.1.0 This release

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page