mars.tensor.fliplr#

mars.tensor.fliplr(m)[source]#

Flip tensor in the left/right direction.

Flip the entries in each row in the left/right direction. Columns are preserved, but appear in a different order than before.

Parameters: m (array_like) – Input tensor, must be at least 2-D.
Returns: f – A view of m with the columns reversed. Since a view is returned, this operation is \(\mathcal O(1)\).
Return type: Tensor

See also

flipud: Flip array in the up/down direction.
rot90: Rotate array counterclockwise.

Notes

Equivalent to m[:,::-1]. Requires the tensor to be at least 2-D.

Examples

>>> import mars.tensor as mt

>>> A = mt.diag([1.,2.,3.])
>>> A.execute()
array([[ 1.,  0.,  0.],
       [ 0.,  2.,  0.],
       [ 0.,  0.,  3.]])
>>> mt.fliplr(A).execute()
array([[ 0.,  0.,  1.],
       [ 0.,  2.,  0.],
       [ 3.,  0.,  0.]])

>>> A = mt.random.randn(2,3,5)
>>> mt.all(mt.fliplr(A) == A[:,::-1,...]).execute()
True