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 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 ]]])