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PyTorch models optimization by neural network pruning
pip install torch-optim
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.3.1>=0.4.8>=0.0.31>=1.10.0>=0.2.7>=0.11.1torch-optim publishes 1 wheel and 1 source archive for version 0.0.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .