vacancy/AdvancedIndexing-PyTorch
(Batched) advanced indexing for PyTorch.
This tool helps machine learning engineers and researchers efficiently extract specific data points or sections from large PyTorch tensors. You provide your PyTorch tensor and a set of instructions (indices) for selecting data, and it returns the precise sub-tensor you need, even when those selection instructions vary across different 'batches' of your data. It's designed for those working with multi-dimensional data in deep learning models.
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Use this if you need to perform complex, varying data selection (advanced indexing) on multi-dimensional PyTorch tensors, especially when dealing with batches where each item in the batch requires a different indexing operation.
Not ideal if your indexing needs are simple, you only work with basic Python lists or NumPy arrays, or you require boolean-based indexing across your batches.
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53
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Language
Python
License
MIT
Category
Last pushed
Dec 26, 2024
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