commit a9c3267d1a20e69a9cc0ae98b52958a6277e2f0d
author Mike Kelly <mike.kelly@arm.com> Mon Dec 04 17:23:09 2023 +0000
committer Nikhil Raj Arm <nikhil.raj@arm.com> Tue Dec 05 16:58:10 2023 +0000
tree cf8ba49f42bcdb6d8360ca705b247bdd656925f8
parent a8337d7a1e9f5aa3ed380dd0f5a4cf7636360122

IVGCVSW-8159 Fixed issues building with NDK r26

* The compiler shipped with NDK r26 has stricter rules around certain
  warnings and deprecation notices.
  * Fixed warnings for unqualified call to 'std::move'
  * Fixed error where the half values weren't being cast to a float
    when calling 'std::nan'
  * Removed unnecessary subtensor unit tests for neon

Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I4ceb46e55ff5f2a754452e3a43de2188d58bf927

src/backends/backendsCommon/test/SplitterEndToEndTestImpl.hpp

diff --git a/src/backends/backendsCommon/test/SplitterEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/SplitterEndToEndTestImpl.hpp
index b750a7a..da4c6a6 100644
--- a/src/backends/backendsCommon/test/SplitterEndToEndTestImpl.hpp
+++ b/src/backends/backendsCommon/test/SplitterEndToEndTestImpl.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2019-2021,2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -97,7 +97,7 @@
     std::map<int, std::vector<T>> inputTensorData = { { 0, inputData } };
     std::map<int, std::vector<T>> expectedOutputData = { { 0, expectedOutput0 }, {1, expectedOutput1} };
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -132,7 +132,7 @@
     std::map<int, std::vector<T>> inputTensorData = { { 0, inputData } };
     std::map<int, std::vector<T>> expectedOutputData = { { 0, expectedOutput0 }, {1, expectedOutput1} };
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -170,7 +170,7 @@
                                                          { 1, expectedOutput1 },
                                                          { 2, expectedOutput2 } };
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -218,7 +218,7 @@
     std::map<int, std::vector<T>> expectedOutputData = { { 0, expectedOutput0 },
                                                          { 1, expectedOutput1 } };
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -266,7 +266,7 @@
     std::map<int, std::vector<T>> expectedOutputData = { { 0, expectedOutput0 },
                                                          { 1, expectedOutput1 } };
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -306,7 +306,7 @@
                                                          { 1, expectedOutput1 },
                                                          { 2, expectedOutput2 } };
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -386,7 +386,7 @@
     std::map<int, std::vector<T>> inputTensorData = {{ 0,inputData }};
     std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput0 }, { 1, expectedOutput1 }};
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -466,7 +466,7 @@
     std::map<int, std::vector<T>> inputTensorData = {{ 0,inputData }};
     std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput0 }, { 1, expectedOutput1 }};
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 template<armnn::DataType ArmnnType>
@@ -546,7 +546,7 @@
     std::map<int, std::vector<T>> inputTensorData = {{ 0,inputData }};
     std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput0 }, { 1, expectedOutput1 }};
 
-    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>>
@@ -613,7 +613,7 @@
     std::map<int, std::vector<T>> inputTensorData = {{ 0,inputData }};
     std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput0 }, { 1, expectedOutput1 }};
 
-    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(move(net), inputTensorData, expectedOutputData, backends);
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net), inputTensorData, expectedOutputData, backends);
 }
 
 } // anonymous namespace