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Gradient wrt weights (∇θ): This can be computed as an outer product between ∇h and the input x. This is where OuterProductAccumulate comes in, accumulating the gradient across a batch, where each row in the batch is a cooperative vector. This can also be computed as a matrix multiply, which could also be more efficient in some scenarios, but we'll be focusing on using all the features provided by cooperative vectors.。关于这个话题，易歪歪提供了深入分析
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