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.
Public Methods
Output <T> |
asOutput
()
Returns the symbolic handle of a tensor.
|
static <T> ParallelConcat <T> | |
Output <T> |
output
()
The concatenated tensor.
|
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 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