Skip to main content

Tool box for PyTorch

Project description

Pytorch-Tools

Tool box for PyTorch for fast prototyping.

Overview

Installation

Requires GPU drivers and CUDA already installed.

pip install git+https://github.com/bonlime/pytorch-tools.git@master

It is also recommended to install NVIDIA Apex to allow usage of additional optimizers

pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" git+https://github.com/NVIDIA/apex.git

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

pytorch_tools-0.1.7.tar.gz (747.8 kB view details)

Uploaded Source

File details

Details for the file pytorch_tools-0.1.7.tar.gz.

File metadata

  • Download URL: pytorch_tools-0.1.7.tar.gz
  • Upload date:
  • Size: 747.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.6.9

File hashes

Hashes for pytorch_tools-0.1.7.tar.gz
Algorithm Hash digest
SHA256 630def8cd4bdad61df17cbb6aa974e7d9b46202f646f739c7e424d39c113b41b
MD5 1709d61ba6b2cc845ff3b56f82542382
BLAKE2b-256 9aabcb06160f8fe4cb3828fec434b36adc2f97c317df12b6e317e7e8483ed1e3

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