Skip to main content

TorchWrapper is a deep learning helper.

Project description

TorchWrapper

A collections of frameworks with inferences modules.

Architecture

  • app
    • context
    • distributed
    • entrance
  • nn
    • csrc
    • layer
    • loss
    • metric
  • solver
    • checkpoint
    • convertor
    • solver
  • transform
    • defaults
    • image
  • utils
    • device
    • filesystem
    • kv
    • logger
    • parser
    • stats
    • string
    • viz

Operators Details

Reference

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

tw-0.3.0.tar.gz (28.1 kB view details)

Uploaded Source

Built Distribution

tw-0.3.0-cp37-cp37m-macosx_10_14_x86_64.whl (128.8 kB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

File details

Details for the file tw-0.3.0.tar.gz.

File metadata

  • Download URL: tw-0.3.0.tar.gz
  • Upload date:
  • Size: 28.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for tw-0.3.0.tar.gz
Algorithm Hash digest
SHA256 11cc8f247d5814cef89e805fa57dd55a3bd1b8739d03b11f301dda9812049830
MD5 d702a9064283d07bb64901df22c2de62
BLAKE2b-256 ec676f78a3e5107a9a24499f2a579d405e8c56085242a3341194e0edd1b8158d

See more details on using hashes here.

File details

Details for the file tw-0.3.0-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: tw-0.3.0-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 128.8 kB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for tw-0.3.0-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 fe503789a9e8d8a4a940e5fb3ee84f48e522b59123a18f68ce38270ba1a9c6d0
MD5 e20101199a37f6563ba33db50d85758a
BLAKE2b-256 90b000e63590865ad8c84e39fc088c5f45a738b5e3213643cdba8ad6bfb4a642

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