mindspore.ops.logaddexp

mindspore.ops.logaddexp(x1, x2)[source]

Computes the logarithm of the sum of exponentiations of the inputs.

\[out_i = log(exp(x1_i) + exp(x2_i))\]

Parameters

x1 (Tensor) – Input Tensor.
x2 (Tensor) – Input Tensor. If the shape of x1 is not equal to the shape of x2, they must be broadcastable to a common shape (which becomes the shape of the output).

Returns

Tensor.

Raises

TypeError – If x1, x2 is not a Tensor.

Supported Platforms:: Ascend GPU CPU

Examples

>>> x1 = Tensor(np.array([1, 2, 3]).astype(np.float16))
>>> x2 = Tensor(np.array(2).astype(np.float16))
>>> output = ops.logaddexp(x1, x2)
>>> print(output)
[2.312 2.693 3.312]