flip

paddle. flip ( x: Tensor, axis: Sequence[int] | int, name: str | None = None ) → Tensor [source]

Reverse the order of a n-D tensor along given axis in axis.

The image below illustrates how flip works.

legend of flip API
Parameters

  • x (Tensor) – A Tensor with shape \([N_1, N_2,..., N_k]\) . The data type of the input Tensor x should be float32, float64, int32, int64, bool.

  • axis (list|tuple|int) – The axis(axes) to flip on. Negative indices for indexing from the end are accepted.

  • name (str|None, optional) – Name for the operation (optional, default is None). For more information, please refer to api_guide_Name.

Returns

Tensor, Tensor or DenseTensor calculated by flip layer. The data type is same with input x.

Examples

>>> 
>>> import paddle

>>> image_shape=(3, 2, 2)
>>> img = paddle.arange(image_shape[0] * image_shape[1] * image_shape[2]).reshape(image_shape)
>>> tmp = paddle.flip(img, [0,1])
>>> print(tmp)
Tensor(shape=[3, 2, 2], dtype=int64, place=Place(cpu), stop_gradient=True,
[[[10, 11],
  [8 , 9 ]],
 [[6 , 7 ],
  [4 , 5 ]],
 [[2 , 3 ],
  [0 , 1 ]]])

>>> out = paddle.flip(tmp,-1)
>>> print(out)
Tensor(shape=[3, 2, 2], dtype=int64, place=Place(cpu), stop_gradient=True,
[[[11, 10],
  [9 , 8 ]],
 [[7 , 6 ],
  [5 , 4 ]],
 [[3 , 2 ],
  [1 , 0 ]]])