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# Sparsity-preserving gradient utility tools for PyTorch
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- [ ![ Python tests] ( https://github.com/cai4cai/torchsparsegradutils/actions/workflows/python-package.yml/badge.svg )] ( https://github.com/cai4cai/torchsparsegradutils/actions/workflows/python-package.yml ) ![ License] ( https://img.shields.io/github/license/cai4cai/torchsparsegradutils ) ![ Code Style: Black] ( https://img.shields.io/badge/code%20style-black-000000.svg )
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+ [ ![ Python tests] ( https://github.com/cai4cai/torchsparsegradutils/actions/workflows/python-package.yml/badge.svg )] ( https://github.com/cai4cai/torchsparsegradutils/actions/workflows/python-package.yml ) [ ![ License] ( https://img.shields.io/github/license/cai4cai/torchsparsegradutils )] ( https://github.com/cai4cai/torchsparsegradutils?tab=Apache-2.0-1-ov-file#readme ) [ ![ Code Style: Black] ( https://img.shields.io/badge/code%20style-black-000000.svg )] ( https://github.com/psf/black )
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A collection of utility functions to work with PyTorch sparse tensors. This is work-in-progress, here be dragons.
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