COMPMID-417: Port DepthConcatenate to QS8/QS16 for NEON/CL.

Change-Id: I3dddae63043c7aa18d908a4fc8abacf3c64f98ca
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80081
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Steven Niu <steven.niu@arm.com>
diff --git a/tests/validation/Reference.h b/tests/validation/Reference.h
index cbdeb01..37a072b 100644
--- a/tests/validation/Reference.h
+++ b/tests/validation/Reference.h
@@ -26,7 +26,6 @@
 
 #include "RawTensor.h"
 #include "Types.h"
-#include <vector>
 
 #include <vector>
 
@@ -285,7 +284,7 @@
      * @return Computed raw tensor.
      */
     static RawTensor compute_reference_batch_normalization_layer(const TensorShape &shape0, const TensorShape &shape1, DataType dt, float epsilon, int fixed_point_position = 0);
-    /** Compute reference pixel-wise multiplication
+    /** Compute reference convolution layer
      *
      * @param[in] input_shape          Shape for the input tensor
      * @param[in] weights_shape        Shape for the weights tensor
@@ -299,6 +298,15 @@
      */
     static RawTensor compute_reference_convolution_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, DataType dt,
                                                          const PadStrideInfo &conv_info, int fixed_point_position);
+    /** Compute reference depth concatenation layer
+     *
+     * @param[in] shapes               Input tensor shapes (All dimensions should match apart from DimZ)
+     * @param[in] dt                   Data type to use
+     * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers
+     *
+     * @return Computed raw tensor.
+     */
+    static RawTensor compute_reference_depth_concatenate_layer(const std::vector<TensorShape> &shapes, DataType dt, int fixed_point_position = 0);
     /** Compute reference for fully connected layer function
      *
      * @param[in] input_shape          Shape for the input tensor