org.tensorflow.op.core

Class Concat<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.Concat<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class Concat<T>
extends PrimitiveOp
implements Operand<T>

Concatenates tensors along one dimension.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T,U extends Number> Concat<T>	create(Scope scope, Operand<T> values, Operand<U> axis) Factory method to create a class to wrap a new Concat operation to the graph.
Output<T>	output() A `Tensor` with the concatenation of values stacked along the `concat_dim` dimension.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T,U extends Number> Concat<T> create(Scope scope,
                                                    Operand<T> values,
                                                    Operand<U> axis)

Factory method to create a class to wrap a new Concat operation to the graph.

Parameters:

scope - current graph scope

values - List of `N` Tensors to concatenate. Their ranks and types must match, and their sizes must match in all dimensions except `concat_dim`.

axis - 0-D. The dimension along which to concatenate. Must be in the range [-rank(values), rank(values)).

Returns:

a new instance of Concat

output

public Output<T> output()

A `Tensor` with the concatenation of values stacked along the `concat_dim` dimension. This tensor's shape matches that of `values` except in `concat_dim` where it has the sum of the sizes.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a tensor.

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.

Specified by:

asOutput in interface Operand<T>

See Also:

OperationBuilder.addInput(Output)