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__KLay is a Python library for evaluating sparse circuits on the GPU.__
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To get started, install KLay using pip and check out the [documentation](https://klaycircuits.readthedocs.io/en/latest/). You can also refer to [this video](https://www.youtube.com/watch?v=ZCpDenbGoJ4) or [the paper](https://openreview.net/pdf?id=Zes7Wyif8G) for more details.
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To get started, install KLay using pip and check out the [documentation](https://klaycircuits.readthedocs.io/en/latest/). You can also refer to [this video](https://www.youtube.com/watch?v=ZCpDenbGoJ4) or [the paper](https://openreview.net/pdf?id=Zes7Wyif8G) for more information.
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```bash
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pip install klaycircuits
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```
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Features include:
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-Evaluation in Jax or PyTorch, on CPU or GPU.
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- Loading SDD and d-DNNF circuits compiled by PySDD or D4.
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KLay features:
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-GPU acceleration of circuits using Jax or PyTorch.
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- Loading SDD and d-DNNF circuits compiled by [PySDD](https://github.com/ML-KULeuven/PySDD) or [D4](https://github.com/crillab/d4).
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- Evaluation in various semirings (e.g. real, log, tropical).
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- Propagating constants and merging duplicate nodes.
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