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It actually returns sub-gradients because indeed it is not differentiable but similarly to relu that is not differentiable, sub-gradient are quite sufficient for many optimization tasks (but less stable especially if you compute gradients wrt weights) |
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i thought only sinkhorn methods enables gradient calculation due to iterative evaluation. how could EMD also support gradient calculation?
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