mindspore.ops.AddN
- class mindspore.ops.AddN[source]
Computes addition of all input tensors element-wise.
Refer to
mindspore.ops.addn()
for more details.- Inputs:
x (Union(tuple[Tensor], list[Tensor])) - A tuple or list composed of Tensor, the data type is boolean or numeric.
- Outputs:
Tensor, has the same shape and dtype as each Tensor of x.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor, nn, ops >>> 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() >>> x = Tensor(np.array([1, 2, 3]), mindspore.float32) >>> y = Tensor(np.array([4, 5, 6]), mindspore.float32) >>> output = net(x, y, x, y) >>> print(output) [10. 14. 18.]