mindspore.numpy.flip

mindspore.numpy.flip(m, axis=None)[source]

Reverses the order of elements in an array along the given axis.

The shape of the array is preserved, but the elements are reordered.

Parameters

m (Tensor) – Input array.
axis (Union[int, tuple(int), None], optional) – Axis or axes along which to flip over. The default, axis=None, will flip over all of the axes of the input array. If axis is negative it counts from the last to the first axis. If axis is a tuple of integers, flipping is performed on all of the axes specified in the tuple.

Returns

Tensor, with the entries of axis reversed.

Raises

TypeError – If the input is not a tensor.

Supported Platforms:: GPU CPU

Examples

>>> import mindspore.numpy as np
>>> A = np.arange(8.0).reshape((2,2,2))
>>> output = np.flip(A)
>>> print(output)
[[[7. 6.]
  [5. 4.]]
 [[3. 2.]
  [1. 0.]]]
>>> output = np.flip(A, (0, 2))
>>> print(output)
[[[5. 4.]
  [7. 6.]]
 [[1. 0.]
  [3. 2.]]]