Factual package intelligence from PyPI

calflops 0.3.2 package intelligence

This package is designed to compute the theoretical amount of FLOPs(floating-point operations)、MACs(multiply-add operations) and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)，including any custom models v

pip install calflops

Current version
0.3.2
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.4 MiB
Release history
19 releases with files
Median release cadence
0 days

calflops dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. accelerate >=0.22.0
  2. huggingface-hub >=0.16.4
  3. torch >=1.1.0

Compatibility and release files

calflops publishes 1 wheel and 1 source archive for version 0.3.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 19 releases with files. The first dated release is ; 19 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .