mindspore.ops.add

mindspore.ops.add(input, other)

Compute the element-wise sum of the two input tensors.

$$ou{t}_i=inpu{t}_i+othe{r}_i$$

Note

• The two inputs can not be bool type at the same time, [True, Tensor(True, bool_), Tensor(np.array([True]), bool_)] are all considered bool type.

• Support broadcast, support implicit type conversion and type promotion.

• When the input is a tensor, the dimension should be greater than or equal to 1.

Parameters

• input (Union[Tensor, number.Number, bool]) – The first input tensor.

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

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> # case 1: x and y are both tensor.
>>> x = mindspore.tensor([1., 2., 3.])
>>> y = mindspore.tensor([4., 5., 6.])
>>> output = mindspore.ops.add(x, y)
>>> print(output)
[5. 7. 9.]
>>> # case 2: x is a scalar and y is a tensor
>>> x = mindspore.tensor(1, mindspore.int32)
>>> y = mindspore.tensor([4., 5., 6.])
>>> output = mindspore.ops.add(x, y)
>>> print(output)
[5. 6. 7.]
>>> # the data type of x is int32, the data type of y is float32,
>>> # and the output is the data format of higher precision float32.
>>> print(output.dtype)
Float32