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Diffstat (limited to 'src/backends/backendsCommon/test/LayerTests.hpp')
-rw-r--r--src/backends/backendsCommon/test/LayerTests.hpp96
1 files changed, 91 insertions, 5 deletions
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index f8f50366eb..edb70455d5 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -373,11 +373,8 @@ LayerTestResult<float, 4> SimpleSigmoidTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
-LayerTestResult<float, 4> SimpleReshapeFloat32Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
-
-LayerTestResult<uint8_t, 4> SimpleReshapeUint8Test(
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SimpleReshapeTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
@@ -1711,6 +1708,42 @@ std::vector<T> ConvertToDataType(const std::vector<float>& input,
return output;
}
+template<typename T>
+LayerTestResult<T, 4> SimpleReshapeTestImpl(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::TensorInfo inputTensorInfo,
+ armnn::TensorInfo outputTensorInfo,
+ const std::vector<T>& inputData,
+ const std::vector<T>& outputExpectedData)
+{
+ auto input = MakeTensor<T, 4>(inputTensorInfo, inputData);
+
+ LayerTestResult<T, 4> ret(outputTensorInfo);
+ ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputExpectedData);
+
+ std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
+ std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+ armnn::ReshapeQueueDescriptor data;
+ armnn::WorkloadInfo info;
+ AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
+ AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
+
+ std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateReshape(data, info);
+
+ inputHandle->Allocate();
+ outputHandle->Allocate();
+
+ CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
+
+ workload->Execute();
+
+ CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
+
+ return ret;
+}
+
template<armnn::DataType ArmnnType, typename T>
LayerTestResult<T, 2> FullyConnectedTest(
armnn::IWorkloadFactory& workloadFactory,
@@ -1780,4 +1813,57 @@ LayerTestResult<T, 2> FullyConnectedTest(
}
return result;
+}
+
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> SimpleReshapeTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ unsigned int inputShape[] = { 2, 2, 3, 3 };
+ unsigned int outputShape[] = { 2, 2, 9, 1 };
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
+ inputTensorInfo.SetQuantizationScale(1.0f);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
+ outputTensorInfo.SetQuantizationScale(1.0f);
+
+ auto input = ConvertToDataType<ArmnnType>(
+ {
+ 0.0f, 1.0f, 2.0f,
+ 3.0f, 4.0f, 5.0f,
+ 6.0f, 7.0f, 8.0f,
+
+ 9.0f, 10.0f, 11.0f,
+ 12.0f, 13.0f, 14.0f,
+ 15.0f, 16.0f, 17.0f,
+
+ 18.0f, 19.0f, 20.0f,
+ 21.0f, 22.0f, 23.0f,
+ 24.0f, 25.0f, 26.0f,
+
+ 27.0f, 28.0f, 29.0f,
+ 30.0f, 31.0f, 32.0f,
+ 33.0f, 34.0f, 35.0f,
+ },
+ inputTensorInfo);
+
+ auto outputExpected = ConvertToDataType<ArmnnType>(
+ {
+ 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f,
+
+ 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f,
+
+ 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f,
+
+ 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f,
+ },
+ outputTensorInfo);
+
+ return SimpleReshapeTestImpl<T>(
+ workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected);
} \ No newline at end of file