mindspore.ops.AddN

class mindspore.ops.AddN(*args, **kwargs)[source]

Computes addition of all input tensors element-wise.

All input tensors must have the same shape.

Inputs:

input_x (Union(tuple[Tensor], list[Tensor])) - The input tuple or list is made up of multiple tensors whose dtype is number or bool to be added together.

Outputs:

Tensor, has the same shape and dtype as each entry of the input_x.

Raises: TypeError – If input_x is neither tuple nor list.

Supported Platforms:: Ascend GPU CPU

Examples

>>> class NetAddN(nn.Cell):
...     def __init__(self):
...         super(NetAddN, self).__init__()
...         self.addN = ops.AddN()
...
...     def construct(self, *z):
...         return self.addN(z)
...
>>> net = NetAddN()
>>> input_x = Tensor(np.array([1, 2, 3]), mindspore.float32)
>>> input_y = Tensor(np.array([4, 5, 6]), mindspore.float32)
>>> output = net(input_x, input_y, input_x, input_y)
>>> print(output)
[10. 14. 18.]