tensorflow::ops::ParallelConcat

tensorflow::ops::ParallelConcat

#include <array_ops.h>

Concatenates a list of N tensors along the first dimension.

Summary

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. ```

The difference between concat and parallel_concat is that concat requires all of the inputs be computed before the operation will begin but doesn't require that the input shapes be known during graph construction. Parallel concat will copy pieces of the input into the output as they become available, in some situations this can provide a performance benefit.

Arguments: