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 Distribution

fmot-3.18.0.tar.gz (696.9 kB view details)

Uploaded Source

Built Distributions

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

fmot-3.18.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

fmot-3.18.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (2.6 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

fmot-3.18.0-cp314-cp314-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

fmot-3.18.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

fmot-3.18.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (2.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

fmot-3.18.0-cp312-cp312-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

fmot-3.18.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (2.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

fmot-3.18.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (2.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

fmot-3.18.0-cp310-cp310-macosx_11_0_arm64.whl (1.1 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

File details

Details for the file fmot-3.18.0.tar.gz.

File metadata

  • Download URL: fmot-3.18.0.tar.gz
  • Upload date:
  • Size: 696.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for fmot-3.18.0.tar.gz
Algorithm Hash digest
SHA256 bb98c5f6ae2e02d597c76708fed4a660abeafdd6dd97ed5ba33c93750a471720
MD5 ede96d389de27520ea4cef25122e9a07
BLAKE2b-256 c814feba19a2c0bcfb1aaa1d212bd3af00f1ff99969f1056eee7988a609c24e1

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4580b91d955e6dd5ef24d1e4cbf86f421b95e9e0b6458364b7caacb13c0d5341
MD5 d04dc1426d355159246c49da96ede686
BLAKE2b-256 3746c8e836315b77f8b8f9e7776370c1189d16725759dc582988cfcb0d360376

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 abd83fe52da232ed45f2017a874ace1040113ad95f9c8887d1257e343aff2440
MD5 86142a818d4a6ba20eb3d20b7cf20159
BLAKE2b-256 4cf0c3712e777c0c813dc13eaa480b52d32d99b115b6b067363bd48cafe76d53

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 be5bad9b4c51270d91a65fa9f8cf728523d351901f40e25d8b3c5d1c5fc4669f
MD5 5ec4949a3aeb36381ff254dc8a761787
BLAKE2b-256 92cedc528bcf9c7a40798b66e9b1aef4c82b8296e5b247c222b377df56fe846c

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 38d431b91b9577d1687475adb76eb2c2667ee6c3afac3be9ffc640ee13cf2a9f
MD5 eeb94ec51dd835930dd43836d0a66011
BLAKE2b-256 39f3ce8ca9b11dd3bb475630e9559bf11fe745c088a8fff47faa668db9b7b291

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 9326f446f8f2e055ebbcc3724899c57274b1e680b2f9c56be77c63164238101f
MD5 7eb235cae60d281374bdbc636b2fa5d0
BLAKE2b-256 05e10d84c0500595a0e6532fe4c43fd7130fa23f9c7939e3cdb46b84776f2c11

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8d3b50f1d7820dd543170cfa786ee3ceffa6fdad293893030ff343f59b2dcdb0
MD5 a090822f572bdd320859ddb082ab4481
BLAKE2b-256 6bd0804a679c0a440f632e7001be9c5dd8088e53be737e4e96330ecc08cc251a

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 95f25e708ad60e4e309cae1c32e65a02d3fa7ff949e97cac40a0f08a84418181
MD5 46d412bc08f3ffe5f81ac735886040e7
BLAKE2b-256 9fe01d3f47326608044fcdae8884adabcd7cd0f0ff197599accc0efd244e10c1

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 42401a56d6ff9128fa9b3f374fb19fcc7f9f95a3ace335f4eca5d2490b4bece7
MD5 18889348e362e85531ae6a7c5ae508a9
BLAKE2b-256 c2849aec0d765e9d6ccc40de39f1b51ca3cc27f5acd063b7dd74bc1243d465ee

See more details on using hashes here.

File details

Details for the file fmot-3.18.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for fmot-3.18.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9f0e13e7bd8a7d75fe99869fc151f9652371b1fce0df6453ec43515ceec37b46
MD5 c12d605682be9130f14b17a6a6b64a44
BLAKE2b-256 e80f04b03de700d77bb7ea7b3db61c80b1ca7e9ac218f2efe4150af426804e14

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