mindspore.ops.margin_ranking_loss

mindspore.ops.margin_ranking_loss(input1, input2, target, margin=0.0, reduction='mean')[source]

MarginRankingLoss creates a criterion that measures the loss.

For details, please refer to mindspore.nn.MarginRankingLoss.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore as ms
>>> from mindspore import Tensor, ops
>>> import numpy as np
>>> input1 = Tensor(np.array([0.3864, -2.4093, -1.4076]), ms.float32)
>>> input2 = Tensor(np.array([-0.6012, -1.6681, 1.2928]), ms.float32)
>>> target = sign(Tensor(np.array([-2, -2, 3]), ms.float32))
>>> output = ops.margin_ranking_loss(input1, input2, target)
>>> print(output)
1.2293333