Factual package intelligence from PyPI
Drop-in memory optimizer for PyTorch training. Reduce VRAM significantly with one line of code.
pip install memscale
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
memscale publishes 9 wheels and 0 source archives for version 1.2.0. Wheel platform tags: macosx_11_0_arm64, manylinux_2_17_x86_64.manylinux2014_x86_64, win_amd64.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .