IVGCVSW-5256 Use CreateTensorHandle() function from TensorHandleFactory in the tests for layers  Q,R & T

Signed-off-by: Finn Williams <Finn.Williams@arm.com>

Change-Id: I6fc613d31785298a0b7ed18f1abdd59bafed1e8e
diff --git a/src/backends/backendsCommon/test/layerTests/TransposeConvolution2dTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/TransposeConvolution2dTestImpl.hpp
index 76e66d7..0c45b0f 100644
--- a/src/backends/backendsCommon/test/layerTests/TransposeConvolution2dTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/TransposeConvolution2dTestImpl.hpp
@@ -16,6 +16,7 @@
 LayerTestResult<T, 4> SimpleTransposeConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -23,6 +24,7 @@
 LayerTestResult<T, 4> PaddedTransposeConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -30,6 +32,7 @@
 LayerTestResult<T, 4> StridedTransposeConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     bool biasEnabled,
     const armnn::DataLayout layout);
 
@@ -37,9 +40,11 @@
 LayerTestResult<T, 4> MultiChannelTransposeConvolution2dTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout layout);
 
 LayerTestResult<uint8_t, 4> TransposeConvolution2dPerAxisQuantTest(
     armnn::IWorkloadFactory& workloadFactory,
     const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory,
     const armnn::DataLayout layout);