Skip to main content

Femtosense Model Optimization Toolkit

Project description

Build Status

fmot

The Femtosense Model Optimization Toolkit (fmot) quantizes neural network models from PyTorch for deployment on Femtosense hardware.

See the documentation at fmot.femtosense.ai for more details.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fmot-3.14.2-py3-none-any.whl (571.1 kB view details)

Uploaded Python 3

File details

Details for the file fmot-3.14.2-py3-none-any.whl.

File metadata

  • Download URL: fmot-3.14.2-py3-none-any.whl
  • Upload date:
  • Size: 571.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for fmot-3.14.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e1bed9fe454b50e214e8b7c18bf3f45d8b5b529f5de40fb765c145beade2f019
MD5 d166d0af6e121ec132cfdb18e9bdf3a7
BLAKE2b-256 b8079370d1933d6623bbeb7085109d0dc848632d328c668ba8bd45488eecbbc7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page