mindspore.ops.Xlogy

class mindspore.ops.Xlogy[source]

Computes the first input tensor multiplied by the logarithm of second input tensor element-wise. Returns zero when x is zero.

Refer to mindspore.ops.xlogy() for more detail.

Supported Platforms:: Ascend CPU

Examples

>>> x = Tensor(np.array([-5, 0, 4]), mindspore.float32)
>>> y = Tensor(np.array([2, 2, 2]), mindspore.float32)
>>> xlogy = ops.Xlogy()
>>> output = xlogy(x, y)
>>> print(output)
[-3.465736   0.        2.7725887]