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-3.14.1-py3-none-any.whl (571.1 kB view details)

Uploaded Python 3

File details

Details for the file fmot-3.14.1-py3-none-any.whl.

File metadata

  • Download URL: fmot-3.14.1-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-3.14.1-py3-none-any.whl
Algorithm Hash digest
SHA256 753b90618ad57e530c70faab39eae62e928597058f82ab68bbc67d03db33c88c
MD5 c5fa87e2a7c7bf1d95c696bbae1b5f82
BLAKE2b-256 46d2508b86516733f1e483f805107561ef7512a0579a15f0d2d76ebc467f0121

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