MarginRankingLoss¶
Creates a criterion that measures the loss given inputs x1, x2, two 1D mini-batch Tensors, and a label 1D mini-batch tensor y.
Abstract Signature:
MarginRankingLoss(margin: float = 0.0, reduction: str = mean)
Creates a criterion that measures the loss given inputs x1, x2, two 1D mini-batch Tensors, and a label 1D mini-batch tensor y.
Abstract Signature:
MarginRankingLoss(margin: float = 0.0, reduction: str = mean)