commit 2ea46232a15aaf7600f1b92314612f4aa2fc6cd2
author Kshitij Sisodia <kshitij.sisodia@arm.com> Mon Dec 19 16:37:33 2022 +0000
committer Kshitij Sisodia <kshitij.sisodia@arm.com> Mon Dec 19 17:05:29 2022 +0000
tree 7c05c514c3bbe932a067067b719d46ff16e5c2e7
parent 9a97134ee00125c7a406cbf57c3ba8360df8f980

MLECO-3611: Formatting fixes for generated files.

Template files updated for generated files to adhere to
coding guidelines and clang format configuration. There
will still be unavoidable violations, but most of the
others have been fixed.

Change-Id: Ia03db40f8c62a369f2b07fe02eea65e41993a523
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>

tests/use_case/vww/InferenceVisualWakeWordModelTests.cc

diff --git a/tests/use_case/vww/InferenceVisualWakeWordModelTests.cc b/tests/use_case/vww/InferenceVisualWakeWordModelTests.cc
index 4d3092e..82bffc6 100644
--- a/tests/use_case/vww/InferenceVisualWakeWordModelTests.cc
+++ b/tests/use_case/vww/InferenceVisualWakeWordModelTests.cc
@@ -1,6 +1,6 @@
 /*
- * SPDX-FileCopyrightText: Copyright 2021-2022 Arm Limited and/or its affiliates <open-source-office@arm.com>
- * SPDX-License-Identifier: Apache-2.0
+ * SPDX-FileCopyrightText: Copyright 2021-2022 Arm Limited and/or its affiliates
+ * <open-source-office@arm.com> SPDX-License-Identifier: Apache-2.0
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -16,9 +16,9 @@
  */
 
 #include "ImageUtils.hpp"
+#include "TensorFlowLiteMicro.hpp"
 #include "TestData_vww.hpp"
 #include "VisualWakeWordModel.hpp"
-#include "TensorFlowLiteMicro.hpp"
 
 #include <catch.hpp>
 
@@ -27,24 +27,24 @@
     TfLiteTensor* inputTensor = model.GetInputTensor(0);
     REQUIRE(inputTensor);
 
-    const size_t copySz = inputTensor->bytes < IFM_0_DATA_SIZE ?
-                            inputTensor->bytes :
-                            IFM_0_DATA_SIZE;
+    const size_t copySz =
+        inputTensor->bytes < IFM_0_DATA_SIZE ? inputTensor->bytes : IFM_0_DATA_SIZE;
 
     memcpy(inputTensor->data.data, imageData, copySz);
 
-    if(model.IsDataSigned()){
+    if (model.IsDataSigned()) {
         arm::app::image::ConvertImgToInt8(inputTensor->data.data, copySz);
     }
 
     return model.RunInference();
 }
 
-template<typename T>
-void TestInference(int imageIdx,arm::app::Model& model) {
+template <typename T>
+void TestInference(int imageIdx, arm::app::Model& model)
+{
 
-    auto image = test::get_ifm_data_array(imageIdx);
-    auto goldenFV = test::get_ofm_data_array(imageIdx);
+    auto image    = test::GetIfmDataArray(imageIdx);
+    auto goldenFV = test::GetOfmDataArray(imageIdx);
 
     REQUIRE(RunInference(model, image));
 
@@ -56,7 +56,7 @@
     REQUIRE(tensorData);
 
     for (size_t i = 0; i < outputTensor->bytes; i++) {
-        auto testVal = static_cast<int>(tensorData[i]);
+        auto testVal   = static_cast<int>(tensorData[i]);
         auto goldenVal = static_cast<int>(goldenFV[i]);
         CHECK(testVal == goldenVal);
     }