@Operator public final class Rank extends PrimitiveOp implements Operand<Integer>
This operation returns an integer representing the rank of `input`.
For example:
# 't' is [[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]
# shape of tensor 't' is [2, 2, 3]
rank(t) ==> 3
Note: The rank of a tensor is not the same as the rank of a matrix. The rank
of a tensor is the number of indices required to uniquely select each element
of the tensor. Rank is also known as "order", "degree", or "ndims."operation
Modifier and Type | Method and Description |
---|---|
Output<Integer> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T> Rank |
create(Scope scope,
Operand<T> input)
Factory method to create a class wrapping a new Rank operation.
|
Output<Integer> |
output() |
equals, hashCode, op, toString
public static <T> Rank create(Scope scope, Operand<T> input)
scope
- current scopeinput
- public Output<Integer> 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<Integer>
OperationBuilder.addInput(Output)
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