Fix various uses of non-standard C++:

* Replace u_int32_t with uint32_t
* Replace size_t with uint32_t for initializer list of TensorInfo
* Replace variable size arrays with std::vector
* Replace reference to local variable during its initialisation

Change-Id: I298b3995f1525f90a1ab2416d7e270315698fae3

1 files changed, 2 insertions, 2 deletions

diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index b40a3f5ad7..f996edad65 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -3262,7 +3262,7 @@ LayerTestResult<TOutput, 4> ElementwiseTestHelper(
     const unsigned int outShape[4], std::vector<TOutput> outValues,
     float qScale = 0.0f, int qOffset = 0)
 {
-    const size_t dimensionCount = 4;
+    const uint32_t dimensionCount = 4;
     armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, ArmnnTypeInput};
     armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, ArmnnTypeInput};
     armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, ArmnnTypeOutput};
@@ -4097,7 +4097,7 @@ LayerTestResult<float,4> MultiplicationTestHelper(
     const unsigned int outShape[4],
     const std::vector<float> & outValues)
 {
-    const size_t dimensionCount = 4;
+    const uint32_t dimensionCount = 4;
     armnn::TensorInfo inputTensorInfo0{dimensionCount, shape0, armnn::DataType::Float32};
     armnn::TensorInfo inputTensorInfo1{dimensionCount, shape1, armnn::DataType::Float32};
     armnn::TensorInfo outputTensorInfo{dimensionCount, outShape, armnn::DataType::Float32};