Concatenates a list of `N` tensors along the first dimension.
The input tensors are all required to have size 1 in the first dimension.
For example:
# 'x' is [[1, 4]]
# 'y' is [[2, 5]]
# 'z' is [[3, 6]]
parallel_concat([x, y, z]) => [[1, 4], [2, 5], [3, 6]] # Pack along first dim.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <T extends TType> ParallelConcat<T> | |
Output<T> |
output()
The concatenated tensor.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the 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 ParallelConcat<T> create (Scope scope, Iterable<Operand<T>> values, Shape shape)
Factory method to create a class wrapping a new ParallelConcat operation.
Parameters
scope | current scope |
---|---|
values | Tensors to be concatenated. All must have size 1 in the first dimension and same shape. |
shape | the final shape of the result; should be equal to the shapes of any input but with the number of input values in the first dimension. |
Returns
- a new instance of ParallelConcat