IVGCVSW-5252 Use CreateTensorHandle() function from TensorHandleFactory in the tests for layers between G-L
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I197351a479fb211787bd12a73c9618d2ded95898
diff --git a/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp
index 58ac0e7..2e205dd 100644
--- a/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/InstanceNormalizationTestImpl.cpp
@@ -26,6 +26,7 @@
LayerTestResult<T, 4> InstanceNormTestImpl(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
const armnn::TensorInfo& inputTensorInfo,
const armnn::TensorInfo& outputTensorInfo,
const std::vector<float>& inputValues,
@@ -42,10 +43,8 @@
result.outputExpected = MakeTensor<T, 4>(outputTensorInfo,
armnnUtils::QuantizedVector<T>(expectedOutputValues, qScale, qOffset));
- ARMNN_NO_DEPRECATE_WARN_BEGIN
- std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
- std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
- ARMNN_NO_DEPRECATE_WARN_END
+ std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
+ std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
armnn::WorkloadInfo info;
@@ -71,6 +70,7 @@
LayerTestResult<T, 4> InstanceNormTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
armnn::DataLayout dataLayout)
{
// BatchSize: 2
@@ -143,6 +143,7 @@
return InstanceNormTestImpl<ArmnnType>(
workloadFactory,
memoryManager,
+ tensorHandleFactory,
inputTensorInfo,
outputTensorInfo,
inputValues,
@@ -154,6 +155,7 @@
LayerTestResult<T, 4> InstanceNormTest2(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
armnn::DataLayout dataLayout)
{
// BatchSize: 2
@@ -227,6 +229,7 @@
return InstanceNormTestImpl<ArmnnType>(
workloadFactory,
memoryManager,
+ tensorHandleFactory,
inputTensorInfo,
outputTensorInfo,
inputValues,
@@ -239,31 +242,35 @@
LayerTestResult<float, 4> InstanceNormFloat32Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
armnn::DataLayout dataLayout)
{
- return InstanceNormTest<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout);
+ return InstanceNormTest<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
}
LayerTestResult<armnn::Half, 4> InstanceNormFloat16Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
armnn::DataLayout dataLayout)
{
- return InstanceNormTest<armnn::DataType::Float16>(workloadFactory, memoryManager, dataLayout);
+ return InstanceNormTest<armnn::DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
}
LayerTestResult<float, 4> InstanceNormFloat32Test2(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
armnn::DataLayout dataLayout)
{
- return InstanceNormTest2<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout);
+ return InstanceNormTest2<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
}
LayerTestResult<armnn::Half, 4> InstanceNormFloat16Test2(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
armnn::DataLayout dataLayout)
{
- return InstanceNormTest2<armnn::DataType::Float16>(workloadFactory, memoryManager, dataLayout);
+ return InstanceNormTest2<armnn::DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, dataLayout);
}