Aidge Pruning Module

You can find in this folder the library that implements the pruning algorithms.

[TOC]

Installation

Dependencies

  • GCC
  • Make/Ninja
  • CMake
  • Python (optional, if you have no intend to use this library in python with pybind)

Aidge dependencies

  • aidge_core The requirements for installing the library are the following:

    • GCC, Make and CMake for the compilation pipeline
    • The AIDGE modules aidge_core, aidge_onnx and aidge_backend_cpu
    • Python (> 3.7) if you intend to use the pybind wrapper

Pip installation

pip install . -v

TIPS : Use environment variables to change compilation options :

  • AIDGE_INSTALL : to set the installation folder. Defaults to /usr/local/lib. :warning: This path must be identical to aidge_core install path.
  • AIDGE_PYTHON_BUILD_TYPE : to set the compilation mode to Debug or Release
  • AIDGE_BUILD_GEN : to set the build backend with

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.10.0.post3)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for eclipse-aidge-bot from gravatar.com eclipse-aidge-bot

License

Eclipse Public License 2.0 (EPL-2.0) (Eclipse Public License - v 2.0)

Requires

Python >=3.10

Provides Extra

test test-cuda

Classifiers

Report project as malware

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 Distributions

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

aidge_pruning-0.10.0-cp312-cp312-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.12Windows x86-64

aidge_pruning-0.10.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (593.7 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

aidge_pruning-0.10.0-cp311-cp311-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.11Windows x86-64

aidge_pruning-0.10.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (592.0 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

aidge_pruning-0.10.0-cp310-cp310-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.10Windows x86-64

aidge_pruning-0.10.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (590.3 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

File details

Details for the file aidge_pruning-0.10.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for aidge_pruning-0.10.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 38624a98522436fbb9da981be813b437daaa0b13bd155111837344407fae3078
MD5 3d86456c8720621e932c82d8eef738ab
BLAKE2b-256 f4ed1d95a778cfbf89d8405b2caedf899febeeb27a31406ad806f11190fa00aa

See more details on using hashes here.

File details

Details for the file aidge_pruning-0.10.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aidge_pruning-0.10.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 737845e501ae2e21c9e6e260d31def38b884d6fec60f6aefd1910aa1c9592750
MD5 2fa037503411a1333a54561d450e16b7
BLAKE2b-256 4651dd759d6b59014e6e40cacdfd760fe86d22d5e871cf961844882622945835

See more details on using hashes here.

File details

Details for the file aidge_pruning-0.10.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for aidge_pruning-0.10.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 d272e7222250ac0f576168b2dfee866ad43a977afffe1a8404ba737ab6547911
MD5 9d75c44fdaabb6734eba775d1b458197
BLAKE2b-256 0cf4c1e69b477cb7ebfc9ca06cb642b19247a9446219a9656b7651fb14b88ae2

See more details on using hashes here.

File details

Details for the file aidge_pruning-0.10.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aidge_pruning-0.10.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 824747b96d3d4aa7bd621d0ba4f615bbc22010bd6bcdeb236b2f42d6e35cf028
MD5 1763776f9a6c6dd3727f9209bd35acd2
BLAKE2b-256 b266e8c985e56b9ba8c64feb694802c19053eb3be9221815f808617157b82574

See more details on using hashes here.

File details

Details for the file aidge_pruning-0.10.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for aidge_pruning-0.10.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9319223ac59d308f5c3cd3f208f6748a5492efe2d7a3a8011997f3507768fe15
MD5 b7f11d4dab46cdc7535824631d1b5400
BLAKE2b-256 5f9b137cc4bad5e0772bcb652c04cab725076bff1453ca566ba78dda3eaa103d

See more details on using hashes here.

File details

Details for the file aidge_pruning-0.10.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for aidge_pruning-0.10.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 9fe67f51957874db677aead189e870a927d8359b40c96357be0cf710c32d1733
MD5 2501ac31040bee3884f7791333c485c5
BLAKE2b-256 5cf2471a8364fe103bc3bee7e3d60e41510679924f5120c9843b4aee1edb9cd4

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