Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

Concat

public final class Concat

Concatenates tensors along one dimension.

Public Methods

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

Inherited Methods

Public Methods

public Output <T> asOutput ()

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.

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

Factory method to create a class wrapping a new Concat operation.

Parameters
scope current 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

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.