- paddle.tensor.linalg. t ( input, name=None )
Transpose <=2-D tensor. 0-D and 1-D tensors are returned as it is and 2-D tensor is equal to the paddle.transpose function which perm dimensions set 0 and 1.
input (Tensor) – The input Tensor. It is a N-D (N<=2) Tensor of data types float16, float32, float64, int32.
name (str, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name
A transposed n-D Tensor, with data type being float16, float32, float64, int32, int64.
- Return type
# Example 1 (0-D tensor) x = tensor([0.79]) paddle.t(x) = tensor([0.79]) # Example 2 (1-D tensor) x = tensor([0.79, 0.84, 0.32]) paddle.t(x) = tensor([0.79, 0.84, 0.32]) # Example 3 (2-D tensor) x = tensor([0.79, 0.84, 0.32], [0.64, 0.14, 0.57]) paddle.t(x) = tensor([0.79, 0.64], [0.84, 0.14], [0.32, 0.57])
import paddle x = paddle.ones(shape=[2, 3], dtype='int32') x_transposed = paddle.t(x) print(x_transposed.shape) # [3, 2]