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pypi.org : sparseml : 1.4.4
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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purl: pkg:pypi/[email protected]
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v1.4.4
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Dependencies
- deepsparse ~=1.4.0 deepsparse
- deepsparse-ent ~=1.4.0 deepsparse-ent
- beautifulsoup4 ==4.9.3 dev
- black ==21.5b2 dev
- docutils <0.17 dev
- flake8 ==3.9.2 dev
- flaky ~=3.7.0 dev
- isort ==5.8.0 dev
- m2r2 ~=0.2.7 dev
- mistune <3,>=2.0.3 dev
- myst-parser ~=0.14.0 dev
- pytest ~=6.2.0 dev
- pytest-mock ~=3.6.0 dev
- rinohtype ~=0.4.2 dev
- sphinx ~=3.5.0 dev
- sphinx-copybutton ~=0.3.0 dev
- sphinx-markdown-tables ~=0.0.15 dev
- sphinx-multiversion ~=0.2.4 dev
- sphinx-pydantic ~=0.1.0 dev
- sphinx-rtd-theme ~=0.5.0 dev
- sphinx-rtd-theme * dev
- tensorboard <2.9,>=1.0 dev
- tensorboardX >=1.0 dev
- wheel >=0.36.2 dev
- onnxruntime >=1.0.0 onnxruntime
- GPUtil >=1.4.0
- click ~=8.0.0
- ipywidgets >=7.0.0
- jupyter >=1.0.0
- matplotlib >=3.0.0
- merge-args >=0.1.0
- numpy <=1.21.6,>=1.0.0
- onnx <=1.12.0,>=1.5.0
- packaging >=20.0
- pandas >=0.25.0
- progressbar2 >=3.0.0
- protobuf <=3.20.1,>=3.12.2
- psutil >=5.0.0
- pydantic >=1.5.0
- pyyaml >=5.0.0
- requests >=2.0.0
- scikit-image >=0.15.0
- scikit-learn >=0.24.2
- scipy >=1.0.0
- setuptools <=59.5.0
- sparsezoo ~=1.4.0
- toposort >=1.0
- tqdm >=4.0.0
- keras2onnx >=1.0.0 tf_keras
- tensorflow ~=2.2.0 tf_keras
- tensorboard <2.0.0 tf_v1
- tensorflow <2.0.0 tf_v1
- tf2onnx <1.6,>=1.0.0 tf_v1
- tensorboard <2.0.0 tf_v1_gpu
- tensorflow-gpu <2.0.0 tf_v1_gpu
- tf2onnx <1.6,>=1.0.0 tf_v1_gpu
- gputils * torch
- torch <=1.12.1,>=1.1.0 torch
- gputils * torch_all
- torch <=1.12.1,>=1.1.0 torch_all
- torchaudio <=0.12 torch_all
- torchvision <=0.13,>=0.3.0 torch_all
- gputils * torchvision
- torch <=1.12.1,>=1.1.0 torchvision
- torchvision <=0.13,>=0.3.0 torchvision