COMPMID-2109: Remove CL/NE Width/Depth ConcatenateLayer functions.

Change-Id: Icbda771abffbb45d4ed0958933c60ff9ace01314
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1178
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 16 insertions, 6 deletions

diff --git a/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h b/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h
index f8cda326d2..8c97efc4f0 100644
--- a/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEConcatenateLayer.h
@@ -26,8 +26,9 @@
 
 #include "arm_compute/runtime/IFunction.h"
 
-#include "arm_compute/core/NEON/kernels/NEHeightConcatenateLayerKernel.h"
+#include "arm_compute/core/NEON/INEKernel.h"
 #include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/Requires.h"
 
 #include <memory>
 #include <vector>
@@ -41,9 +42,9 @@ class Status;
 
 /** Basic function to execute concatenate tensors along a given axis. This function calls the following kernels:
  *
- * -# @ref NEWidthConcatenateLayer (if underlying concatenation axis is 0).
+ * -# @ref NEWidthConcatenateLayerKernel (if underlying concatenation axis is 0).
  * -# @ref NEHeightConcatenateLayerKernel (if underlying concatenation axis is 1).
- * -# @ref NEDepthConcatenateLayer (if underlying concatenation axis is 2).
+ * -# @ref NEDepthConcatenateLayerKernel (if underlying concatenation axis is 2).
  */
 class NEConcatenateLayer : public IFunction
 {
@@ -53,17 +54,18 @@ public:
     /** Initialise the kernel's inputs vector and output.
      *
      * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
-     * @note Preconditions can be found respectively at @ref NEWidthConcatenateLayer, @ref NEHeightConcatenateLayerKernel and @ref NEDepthConcatenateLayer.
+     * @note Preconditions can be found respectively at @ref NEWidthConcatenateLayerKernel, @ref NEHeightConcatenateLayerKernel and @ref NEDepthConcatenateLayerKernel.
      *
      * @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/F16/F32.
      * @param[out]    output        Output tensor. Data types supported: Same as @p input.
      * @param[in]     axis          Concatenation axis. Supported underlying concatenation axis are 0, 1 and 2.
      */
-    void configure(const std::vector<ITensor *> &inputs_vector, ITensor *output, size_t axis);
+    void configure(std::vector<ITensor *> inputs_vector, ITensor *output, size_t axis);
+    void configure(std::vector<const ITensor *> inputs_vector, ITensor *output, size_t axis);
     /** Static function to check if given info will lead to a valid configuration of @ref NEConcatenateLayer
      *
      * @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
-     * @note Preconditions can be found respectively at @ref NEWidthConcatenateLayer, @ref NEHeightConcatenateLayerKernel and @ref NEDepthConcatenateLayer.
+     * @note Preconditions can be found respectively at @ref NEWidthConcatenateLayerKernel, @ref NEHeightConcatenateLayerKernel and @ref NEDepthConcatenateLayerKernel.
      *
      * @param[in] inputs_vector The vectors containing all the tensors info to concatenate. Data types supported: QASYMM8/F16/F32.
      * @param[in] output        Output tensor info. Data types supported: Same as @p input.
@@ -72,11 +74,19 @@ public:
      * @return a status
      */
     static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
+    static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
 
     // Inherited methods overridden:
     void run() override;
 
 private:
+    template <typename TensorType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorType>::type, ITensor>::value)>
+    void configure_internal(std::vector<TensorType *> &&inputs_vector, ITensor *output, size_t axis);
+
+    template <typename TensorInfoType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorInfoType>::type, ITensorInfo>::value)>
+    static Status validate_internal(const std::vector<TensorInfoType *> &inputs_vector, const ITensorInfo *output, size_t axis);
+
+private:
     std::vector<std::unique_ptr<INEKernel>> _concat_kernels;
     unsigned int                            _num_inputs;
     unsigned int                            _axis;