T
- data type for output()
output@Operator public final class Roll<T> extends PrimitiveOp implements Operand<T>
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]]
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T,U extends Number,V extends Number> |
create(Scope scope,
Operand<T> input,
Operand<U> shift,
Operand<V> axis)
Factory method to create a class wrapping a new Roll operation.
|
Output<T> |
output()
Has the same shape and size as the input.
|
equals, hashCode, op, toString
public static <T,U extends Number,V extends Number> Roll<T> create(Scope scope, Operand<T> input, Operand<U> shift, Operand<V> axis)
scope
- current scopeinput
- shift
- 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 by `axis[i]`. Negative shifts will roll the elements in the opposite
direction.axis
- Dimension must be 0-D or 1-D. `axis[i]` specifies the dimension that the shift
`shift[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.public Output<T> output()
public Output<T> asOutput()
Operand
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput
in interface Operand<T>
OperationBuilder.addInput(Output)
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