2021-12-04 13:55:42 +08:00
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mindspore.ops.AddN
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===================
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2021-12-22 11:46:09 +08:00
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.. py:class:: mindspore.ops.AddN()
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2021-12-04 13:55:42 +08:00
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2021-12-22 11:46:09 +08:00
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逐元素将所有输入的Tensor相加。
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2021-12-04 13:55:42 +08:00
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所有输入Tensor必须具有相同的shape。
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**输入：**
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2021-12-22 11:46:09 +08:00
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- **x** (Union(tuple[Tensor], list[Tensor])) - Tensor组成的tuble或list，类型为 `bool_ <https://www.mindspore.cn/docs/api/zh-CN/master/api_python/mindspore.html#mindspore.dtype>`_ 或 `number <https://www.mindspore.cn/docs/api/zh-CN/master/api_python/mindspore.html#mindspore.dtype>`_ 。
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2021-12-04 13:55:42 +08:00
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**输出：**
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Tensor，与 `x` 的每个Tensor具有相同的shape和数据类型。
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**异常：**
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- **TypeError** - `x` 既不是tuple，也不是list。
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2021-12-22 11:46:09 +08:00
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- **ValueError** - `x` 中存在shape不同的Tensor。
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2021-12-04 13:55:42 +08:00
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**支持平台：**
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2021-12-04 20:36:47 +08:00
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2021-12-04 13:55:42 +08:00
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``Ascend`` ``GPU`` ``CPU``
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**样例：**
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>>> class NetAddN(nn.Cell):
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... def __init__(self):
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... super(NetAddN, self).__init__()
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... self.addN = ops.AddN()
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...
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... def construct(self, *z):
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... return self.addN(z)
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...
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>>> net = NetAddN()
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>>> x = Tensor(np.array([1, 2, 3]), mindspore.float32)
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>>> y = Tensor(np.array([4, 5, 6]), mindspore.float32)
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>>> output = net(x, y, x, y)
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>>> print(output)
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[10. 14. 18.]
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