Releases: neuralmagic/sparsezoo
Releases · neuralmagic/sparsezoo
SparseZoo v0.7.0
New Features:
- Pruned-Quantized BERT models on SQuAD added.
- Support added for
- Python 3.9.
- ONNX versions 1.8 - 1.10.
Changes:
- None
Resolved Issues:
- 403 errors no longer occasionally occur when trying to download models.
Known Issues:
- None
SparseZoo v0.6.0
New Features:
- Support added for batched iteration of a dataset.
Changes:
- None
Resolved Issues:
- Load_numpy_list API no longer crashes when loading from a directory.
Known Issues:
- None
SparseZoo v0.5.1 Patch Release
This is a patch release for 0.5.0 that contains the following changes:
- version updated for consistency to reflect DeepSparse repo hotfix.
SparseZoo v0.5.0
New Features:
- Alpha website sparsezoo.neuralmagic.com instrumented and deployed for visual interaction with the repository.
Changes:
- None
Resolved Issues:
- API requests for models on Windows systems now working consistently.
Known Issues:
- None
SparseZoo v0.4.0
New Features:
- None
Changes:
- Readme redesigned for better clarity on the repository's purpose.
Resolved Issues:
- Neural Magic dependencies upgrade to intended bug versions instead of minor versions.
Known Issues:
- None
SparseZoo v0.3.1 Patch Release
This is a patch release for 0.3.0 that contains the following changes:
- Docs updated for new Discourse and Slack links
- Table UI removed from the codebase and package to make the build process more consistent and size smaller
-- Table UI is now accessible at https://sparsezoo.neuralmagic.com/tables/models/cv/detection
SparseZoo v0.3.0
New Features:
- SparseZoo table UI added for finding available recipes and models in the zoo.
- APIs added for looking up similar recipes and getting the base model associated with a recipe.
- Convenience methods added to the Model and Recipe class to lookup related objects to the current instance.
Changes:
- Version changed to be loaded from version.py file, default build on branches is now nightly.
- Removed all references to optim and optimization in favor of sparse and sparsification.
Resolved Issues:
- None
Known Issues:
- None
SparseZoo v0.2.0
New Features:
- YOLOv3 base, pruned, pruned-quantized models added for ultralytics/yolov5 repo.
- Keras pruned resnet models implemented.
- Ability to load recipes from SparseZoo stubs available.
- Ability to load the base weights for a sparsified model available.
Changes:
- Default log level changed to warn.
- SparseZoo backend improved for faster deployments and more uptime.
Resolved Issues:
- Docs and readme corrections made for minor issues and broken links.
- Makefile no longer deletes files for docs compilation and cleaning.
Known Issues:
- None
SparseZoo v0.1.1 Patch Release
This is a patch release for 0.1.0 that contains the following changes:
- Docs updates: tagline, overview, update to use sparsification for verbiage
- ResNet-50 pruned_quant moderate model added for PyTorch SparseML
- Functionality added for loading recipes and corresponding model weights from zoo stubs
- Nightly build dependencies now match on major.minor and not full version
- Change default log level to warn from info
SparseZoo v0.1.0 First GitHub Release
Welcome to our initial release on GitHub! Older release notes can be found here.
New Features:
- Python API is available to interact with models in the SparseZoo.
- CLI added to interact with models in the SparseZoo.
model_download
Jupyter Notebook added.- Test cases introduced for published models.
- MakeFile flows and utilities implemented for GitHub repo structure.
Changes:
- Software packaging updated to reflect new GitHub distribution channel, from file naming conventions to license enforcement removal.
Resolved Issues:
- None
Known Issues:
- None