mindspore.ops.AccumulateNV2

class mindspore.ops.AccumulateNV2[source]

Computes accumulation of all input tensors element-wise.

Refer to mindspore.ops.accumulate_n() for more details.

Inputs:

x (Union(tuple[Tensor], list[Tensor])) - The input tuple or list is made up of multiple tensors whose dtype is number to be added together. Each element of tuple or list should have the same shape.

Outputs:

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

Supported Platforms:

Ascend GPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops, nn
>>> class NetAccumulateNV2(nn.Cell):
...     def __init__(self):
...         super(NetAccumulateNV2, self).__init__()
...         self.accumulateNV2 = ops.AccumulateNV2()
...
...     def construct(self, *z):
...         return self.accumulateNV2(z)
...
>>> net = NetAccumulateNV2()
>>> 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.]