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blog style readme for torch sparse-quant TL notebook #85
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bfineran
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NMsasa,
jeanniefinks,
kevinaer,
markurtz,
mgoin and
natuan
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I'm very open to what goes in here. @reviewers please feel free to make suggestions |
jeanniefinks
previously approved these changes
Feb 25, 2021
markurtz
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Feb 25, 2021
jeanniefinks
previously approved these changes
Feb 25, 2021
markurtz
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Feb 25, 2021
mgoin
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Feb 25, 2021
markurtz
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Feb 25, 2021
* GA code, toctree links (#61) - added tracking for docs output - added help links for docs output * Update README.md (#64) removed placeholder reference to comingsoon repo in favor of active repo * add decorator for flaky tf sparsity tests (#65) * enable modifier groups in SparseML recipes (#66) * enable modifier groups in SparseML recipes * unit tests for YAML modifier list loading * make build argument for nightly builds (#63) * rst url syntax correction (#67) correcting double slash at the end of URLs with updates to index.rst pre-compilation * match types explicitly in torch qat quant observer wrappers (#68) * docs updates (#71) enhancing left nav for Help; after this merge, the docs need to be rebuilt for this repo so docs.neuralmagic.com can be refreshed. cc @markurtz * Rename KSModifier to PruningModifier (#76) * Rename ConstantKSModifier to ConstantPruningModifier * Rename GradualKSModifier to GMPruningModifier * Fix broken link for Optimization Recipes (#75) * Serialize/deserialize MaskedLayer (#69) * Serialize/deserialize MaskedLayer * Remove unused symbols * Register pruning scheduler classes for serialization * removed ScheduledOptimizer, moved logic to ScheduledModifierManager (#77) * load recipes directly from SparseZoo (#72) * load recipes into Managers from sparsezoo stubs * moving recipe_type handling to SparseZoo only, supporting loading SparseZoo recipe objects * Revert "removed ScheduledOptimizer, moved logic to ScheduledModifierManager (#77)" (#80) This reverts commit 6073abb. * Update for 0.1.1 release (#82) * Update for 0.1.1 release - update python version to 0.1.1 - setup.py add in version parts and _VERSION_MAJOR_MINOR for more flexibility with dependencies between neural magic packages - add in deepsparse optional install pathway * missed updating version to 0.1.1 * rename examples directory to integrations (#78) * rwightman/pytorch-image-models integration (#70) * load checkpoint file based on sparsezoo recipe in pytorch_vision script (#83) * ultralytics/yolov5 integration (#73) * pytorch sparse quantized transfer learning notebook (#81) * load qat onnx models for conversion from file path (#86) * Sparsification update (#84) * Sparsification update - update sparsification descriptions and move to preferred verbage * update from comments on deepsparse for sparsification * Update README.md Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * Update README.md Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * Update README.md Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * Update README.md Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * Update docs/source/index.rst Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * Update docs/source/index.rst Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * Update docs/source/index.rst Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * Update docs/source/index.rst Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * Update docs/source/recipes.md Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * fix links in index.rst from reviewed content * update overviews and taglines from doc Co-authored-by: Jeannie Finks <74554921+jeanniefinks@users.noreply.github.com> * blog style readme for torch sparse-quant TL notebook (#85) Co-authored-by: Jeannie Finks (NM) <74554921+jeanniefinks@users.noreply.github.com> Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com> Co-authored-by: Eldar Kurtic <eldar.ciki@gmail.com> Co-authored-by: Tuan Nguyen <tuan@neuralmagic.com>
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the purpose of this document is to provide a blog-like landing page that gives a quick primer and motivation for sparse-quantized transfer learning and how to quickly get started using it with SparseML