From 917959c88361e8148696c156453f69c6ae0c95c0 Mon Sep 17 00:00:00 2001
From: John Kesapides <john.kesapides@arm.com>
Date: Mon, 4 Feb 2019 12:37:29 +0000
Subject: COMPMID-1281 Investigate concatenation for RNN/LSTM NEON

Change-Id: I7f099348a361a6f2d4efb30618f58bd44dd41e6c
Signed-off-by: John Kesapides <john.kesapides@arm.com>
Reviewed-on: https://review.mlplatform.org/c/712
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
---
 arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

(limited to 'arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h')

diff --git a/arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h b/arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h
index e68525fa76..70a81b2788 100644
--- a/arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEWidthConcatenateLayer.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -30,7 +30,10 @@
 
 #include "arm_compute/core/NEON/kernels/NEWidthConcatenateLayerKernel.h"
 
+#include "arm_compute/core/utils/misc/Requires.h"
+
 #include <memory>
+#include <type_traits>
 #include <vector>
 
 namespace arm_compute
@@ -56,6 +59,7 @@ public:
      *                           The first dimension (width) is the sum of the input tensors' widths.
      */
     void configure(std::vector<ITensor *> inputs_vector, ITensor *output);
+    void configure(std::vector<const ITensor *> inputs_vector, ITensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref NEWidthConcatenateLayer
      *
      * @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
@@ -67,6 +71,7 @@ public:
      * @return a status
      */
     static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output);
+    static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output);
 
     // Inherited methods overridden:
     void run() override;
@@ -74,6 +79,10 @@ public:
 private:
     std::unique_ptr<NEWidthConcatenateLayerKernel[]> _concat_kernels_vector;
     unsigned int                                     _num_inputs;
+    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);
+    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);
 };
 } // namespace arm_compute
 #endif /* __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__ */
-- 
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