Efficient Indexing in Deep Learning Frameworks: A Comparison of Torch, TensorFlow, and Einops
2025-09-24
This article compares different approaches to efficient array indexing in PyTorch, TensorFlow, and Einops. By contrasting `torch.gather`, `torch.take_along_dim`, `torch.index_select`, `torch.take`, `tf.gather`, `tf.gather_nd`, and Einops's `einx.get_at`, it showcases their flexibility and efficiency differences in handling different dimensions and batched indexing, providing developers with a reference for choosing the optimal solution.
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array indexing