# tensorplay.functional.t

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.t.html

```python
tensorplay.functional.t(input) → Tensor
```

Expects input to be <= 2-D tensor and transposes dimensions 0
and 1.

0-D and 1-D tensors are returned as is. When input is a 2-D tensor this
is equivalent to transpose(input, 0, 1).

Parameters:

input ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the input tensor.

Example:

```
>>> x = tensorplay.randn(())
>>> x
tensor(0.1995)
>>> tensorplay.t(x)
tensor(0.1995)
>>> x = tensorplay.randn(3)
>>> x
tensor([ 2.4320, -0.4608,  0.7702])
>>> tensorplay.t(x)
tensor([ 2.4320, -0.4608,  0.7702])
>>> x = tensorplay.randn(2, 3)
>>> x
tensor([[ 0.4875,  0.9158, -0.5872],
        [ 0.3938, -0.6929,  0.6932]])
>>> tensorplay.t(x)
tensor([[ 0.4875,  0.3938],
        [ 0.9158, -0.6929],
        [-0.5872,  0.6932]])
```

See also tensorplay.transpose().