Aliases:
tf.manip.roll
tf.roll
tf.roll(
input,
shift,
axis
)
Defined in tensorflow/python/ops/manip_ops.py
.
Rolls the elements of a tensor along an axis.
The elements are shifted positively (towards larger indices) by the offset of
shift
along the dimension of axis
. Negative shift
values will shift
elements in the opposite direction. Elements that roll passed the last position
will wrap around to the first and vice versa. Multiple shifts along multiple
axes may be specified.
For example:
# 't' is [0, 1, 2, 3, 4]
roll(t, shift=2, axis=0) ==> [3, 4, 0, 1, 2]
# shifting along multiple dimensions
# 't' is [[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]
roll(t, shift=[1, -2], axis=[0, 1]) ==> [[7, 8, 9, 5, 6], [2, 3, 4, 0, 1]]
# shifting along the same axis multiple times
# 't' is [[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]
roll(t, shift=[2, -3], axis=[1, 1]) ==> [[1, 2, 3, 4, 0], [6, 7, 8, 9, 5]]
Args:
input
: ATensor
.shift
: ATensor
. Must be one of the following types:int32
,int64
. Dimension must be 0-D or 1-D.shift[i]
specifies the number of places by which elements are shifted positively (towards larger indices) along the dimension specified byaxis[i]
. Negative shifts will roll the elements in the opposite direction.axis
: ATensor
. Must be one of the following types:int32
,int64
. Dimension must be 0-D or 1-D.axis[i]
specifies the dimension that the shiftshift[i]
should occur. If the same axis is referenced more than once, the total shift for that axis will be the sum of all the shifts that belong to that axis.name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as input
.