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StaleenhancementNew feature or requestNew feature or requestgood first issueGood for newcomersGood for newcomershelp wantedExtra attention is neededExtra attention is neededissue listA list of issues closely relatedA list of issues closely relatedjaxRelated to JAXRelated to JAXnumpyRelated to NumpyRelated to NumpypytorchRelated to PytorchRelated to PytorchtensorflowRelated to TensorflowRelated to Tensorflow
Description
Description: We need to implement several new attention masking layers in our model to improve its performance on specific tasks. The following masking layers need to be implemented:
- Global
- Block local
- Band
- DilatedΒ #87
- Random
- Compound
- axial
It is important to carefully consider the design and implementation of these masking layers to ensure they are effective and efficient.
Deadline for each layer: 2 weeks after opening the issue. After the deadline, the issue opened will be closed to make it available for other contributors.
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StaleenhancementNew feature or requestNew feature or requestgood first issueGood for newcomersGood for newcomershelp wantedExtra attention is neededExtra attention is neededissue listA list of issues closely relatedA list of issues closely relatedjaxRelated to JAXRelated to JAXnumpyRelated to NumpyRelated to NumpypytorchRelated to PytorchRelated to PytorchtensorflowRelated to TensorflowRelated to Tensorflow
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Todo