commit 5b58e31109f661f70331048e22f8a66934e74d15
author Kevin May <kevin.may@arm.com> Thu Dec 15 10:15:21 2022 +0000
committer Teresa Charlin <teresa.charlinreyes@arm.com> Thu Dec 15 17:16:12 2022 +0000
tree 7ad8f88bf7427a1dd2622b53fcd0b4b8632ee34e
parent 3fbad94012ee6b1c6ec8e93d760619b15d98c464

IVGCVSW-7170 Add Concat support to TOSA Reference Backend

* Change comment for the unique tensor names in all tosa common operators

Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I247b4b2365d5f0173218c5dfd11fba12d2399959

src/backends/backendsCommon/test/ConcatEndToEndTestImpl.hpp

diff --git a/src/backends/backendsCommon/test/ConcatEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/ConcatEndToEndTestImpl.hpp
index c8d20da..2614523 100644
--- a/src/backends/backendsCommon/test/ConcatEndToEndTestImpl.hpp
+++ b/src/backends/backendsCommon/test/ConcatEndToEndTestImpl.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017,2022 Arm Ltd. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -112,7 +112,7 @@
     std::map<int, std::vector<T>> inputTensorData = {{ 0,inputData }, { 1,inputData }};
     std::map<int, std::vector<T>> expectedOutputData = {{ 0,expectedOutput }};
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -174,7 +174,7 @@
     std::map<int, std::vector<T>> inputTensorData = {{ 0,inputData }, { 1,inputData }};
     std::map<int, std::vector<T>> expectedOutputData = {{ 0,expectedOutput }};
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -236,7 +236,7 @@
     std::map<int, std::vector<T>> inputTensorData = {{ 0,inputData }, { 1,inputData }};
     std::map<int, std::vector<T>> expectedOutputData = {{ 0,expectedOutput }};
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
@@ -297,7 +297,7 @@
     std::map<int, std::vector<T>> inputTensorData = {{ 0,inputData }, { 1,inputData }};
     std::map<int, std::vector<T>> expectedOutputData = {{ 0,expectedOutput }};
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 } // anonymous namespace