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並前往https://discourse.julialang.org/t/how-to-perform-explicit-array-broadcasting-like-np-broadcast-to-torch-expand-in-julia/65559

oscarknagg - Julia Discourse

... b.shape) c = np.sqrt(np.power((broadcast_a - broadcast_b.transpose((1, 0, 2))), 2)\ .sum(axis=-1)).T. In Pytorch. import torch a = torch.tensor([[0,0], ...

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