# atleast_2d¶

paddle. atleast_2d ( *inputs, name=None ) [源代码]

## 参数¶

• inputs (Tensor|list(Tensor)) - 一个或多个 Tensor，数据类型为： `float16`, `float32`, `float64`, `int16`, `int32`, `int64`, `int8`, `uint8`, `complex64`, `complex128`, `bfloat16``bool`

• name (str，可选) - 具体用法请参见 Name，一般无需设置，默认值为 None。

## 返回¶

Tensor 或者由 Tensor 组成的 list。当只有一个输入的时候返回一个 Tensor，当有多个输入的时候返回由 Tensor 组成的 list。

## 代码示例¶

```>>> import paddle

>>> # one input
>>> x = paddle.to_tensor(123, dtype='int32')
>>> out = paddle.atleast_2d(x)
>>> print(out)
Tensor(shape=[1, 1], dtype=int32, place=Place(cpu), stop_gradient=True,
[[123]])

>>> # more than one inputs
>>> x = paddle.to_tensor(123, dtype='int32')
>>> y = paddle.to_tensor([1.23], dtype='float32')
>>> out = paddle.atleast_2d(x, y)
>>> print(out)
[Tensor(shape=[1, 1], dtype=int32, place=Place(cpu), stop_gradient=True,
[[123]]), Tensor(shape=[1, 1], dtype=float32, place=Place(cpu), stop_gradient=True,
[[1.23000002]])]

>>> # more than 2-D input
>>> x = paddle.to_tensor(123, dtype='int32')
>>> y = paddle.to_tensor([[[1.23]]], dtype='float32')
>>> out = paddle.atleast_2d(x, y)
>>> print(out)
[Tensor(shape=[1, 1], dtype=int32, place=Place(cpu), stop_gradient=True,
[[123]]), Tensor(shape=[1, 1, 1], dtype=float32, place=Place(cpu), stop_gradient=True,
[[[1.23000002]]])]
```