mindspore.ops.xlogy

mindspore.ops.xlogy(input, other)[source]

Compute input multiplied by the logarithm of other element-wise.

o u t_{i} = i n p u t_{i} * l n o t h e r_{i}

Note

Support broadcast, support implicit type conversion and type promotion.

Warning

On Ascend, the data type of input and other must be float16 or float32.

Parameters

input (Union[Tensor, numbers.Number, bool]) – The first input tensor.
other (Union[Tensor, numbers.Number, bool]) – The second input tensor.

Returns

Tensor

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> output = mindspore.ops.xlogy(mindspore.tensor([-5., 0., 4.]), mindspore.tensor([2., 2., 2.]))
>>> print(output)
[-3.465736   0.         2.7725887]