torch. topk (input, k, dim = None, largest = True, sorted = True, *, out = None) ¶ Returns the k largest elements of the given input tensor along a given dimension. If dim is not given, the last dimension of the input is chosen.

在分类问题中，通常需要使用 max() 和topk ( )函数对 softmax 函数的输出值进行操作，求出预测值索引，然后与标签进行比对，计算准确率。 下面分别讲解一下 torch.max() 和torch.topk ( )函数的输入及输出值都是什么，便于我们理解该函数。 函数会返回两个 tensor，第一个 tensor 是每行的最大值；第二个 tensor 是每行最大值的索引。 在多分类任务中我们并不需要知道各类别的预测概率，所以返回值的第一个 tensor 对分类任务没有帮助，而第二个 tensor 包含了预测最大概率 …

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torch.Tensor.topk¶ Tensor. topk (k, dim = None, largest = True, sorted = True) ¶ See torch.topk()

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Nov 9, 2018 · torch.topk(input, k, dim=None, largest=True, sorted=True, out=None) -> (Tensor, LongTensor) Returns the k largest elements of the given input tensor along a given dimension. If dim is not given, the last dimension of the input is chosen.

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