aboutsummaryrefslogtreecommitdiff
path: root/src/backends/backendsCommon/test/LayerTests.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/backendsCommon/test/LayerTests.cpp')
-rw-r--r--src/backends/backendsCommon/test/LayerTests.cpp231
1 files changed, 0 insertions, 231 deletions
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index 9d40197776..55e799e1be 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -8368,237 +8368,6 @@ LayerTestResult<float, 4> PermuteFloat32ValueSet3Test(
return PermuteFloat32ValueSet3TestCommon(workloadFactory, memoryManager);
};
-namespace
-{
-
-template <typename T, std::size_t InputDim, std::size_t OutputDim>
-LayerTestResult<T, OutputDim> MeanTestHelper(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
- const unsigned int* inputShape,
- const std::vector<T>& inputData,
- const std::vector<unsigned int>& axis,
- bool keepDims,
- const unsigned int* outputShape,
- const std::vector<T>& outputData,
- float scale = 1.0f,
- int32_t offset = 0)
-{
- auto dataType = (std::is_same<T, uint8_t>::value ? armnn::DataType::QuantisedAsymm8 : armnn::DataType::Float32);
-
- armnn::TensorInfo inputTensorInfo(InputDim, inputShape, dataType);
- armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, dataType);
-
- inputTensorInfo.SetQuantizationScale(scale);
- inputTensorInfo.SetQuantizationOffset(offset);
-
- outputTensorInfo.SetQuantizationScale(scale);
- outputTensorInfo.SetQuantizationOffset(offset);
-
- auto input = MakeTensor<T, InputDim>(inputTensorInfo, inputData);
-
- LayerTestResult<T, OutputDim> result(outputTensorInfo);
- result.outputExpected = MakeTensor<T, OutputDim>(outputTensorInfo, outputData);
-
- std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
- std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
- armnn::MeanQueueDescriptor data;
- data.m_Parameters.m_Axis = axis;
- data.m_Parameters.m_KeepDims = keepDims;
- armnn::WorkloadInfo info;
- AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
- AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
-
- std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info);
-
- inputHandle->Allocate();
- outputHandle->Allocate();
-
- CopyDataToITensorHandle(inputHandle.get(), input.origin());
-
- workload->PostAllocationConfigure();
- workload->Execute();
-
- CopyDataFromITensorHandle(result.output.origin(), outputHandle.get());
-
- return result;
-}
-
-} // anonymous namespace
-
-LayerTestResult<uint8_t, 1> MeanUint8SimpleTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 3, 2 };
- const unsigned int outputShape[] = { 1 };
-
- std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 });
- std::vector<uint8_t> output({ 2 });
-
- return MeanTestHelper<uint8_t, 2, 1>(
- workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output);
-}
-
-LayerTestResult<uint8_t, 3> MeanUint8SimpleAxisTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 1, 1, 3, 2 };
- const unsigned int outputShape[] = { 1, 1, 2 };
-
- std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 });
- std::vector<uint8_t> output({ 2, 2 });
-
- return MeanTestHelper<uint8_t, 4, 3>(
- workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output);
-}
-
-LayerTestResult<uint8_t, 4> MeanUint8KeepDimsTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 1, 1, 3, 2 };
- const unsigned int outputShape[] = { 1, 1, 1, 2 };
-
- std::vector<uint8_t> input({ 1, 1, 2, 2, 3, 3 });
- std::vector<uint8_t> output({ 2, 2 });
-
- return MeanTestHelper<uint8_t, 4, 4>(
- workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output);
-}
-
-LayerTestResult<uint8_t, 4> MeanUint8MultipleDimsTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 2, 3, 1, 2 };
- const unsigned int outputShape[] = { 1, 3, 1, 1 };
-
- std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6 });
- std::vector<uint8_t> output({ 1, 3, 5 });
-
- return MeanTestHelper<uint8_t, 4, 4>(
- workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output);
-}
-
-LayerTestResult<uint8_t, 1> MeanVtsUint8Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 4, 3, 2 };
- const unsigned int outputShape[] = { 2 };
-
- std::vector<uint8_t> input({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
- 24 });
- std::vector<uint8_t> output({ 12, 13 });
-
- return MeanTestHelper<uint8_t, 3, 1>(workloadFactory, memoryManager,
- inputShape, input, { 0, 1 }, false, outputShape,
- output, 0.8f, 5);
-}
-
-LayerTestResult<float, 1> MeanFloatSimpleTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 3, 2 };
- const unsigned int outputShape[] = { 1 };
-
- std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f });
- std::vector<float> output({ 2.0f });
-
- return MeanTestHelper<float, 2, 1>(
- workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output);
-}
-
-LayerTestResult<float, 3> MeanFloatSimpleAxisTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 2, 3, 1, 2 };
- const unsigned int outputShape[] = { 3, 1, 2 };
-
- std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f });
- std::vector<float> output({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f });
-
- return MeanTestHelper<float, 4, 3>(
- workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output);
-}
-
-LayerTestResult<float, 4> MeanFloatKeepDimsTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 1, 1, 3, 2 };
- const unsigned int outputShape[] = { 1, 1, 1, 2 };
-
- std::vector<float> input({ 1.0f, 1.0f, 2.0f, 2.0f, 3.0f, 3.0f });
- std::vector<float> output({ 2.0f, 2.0f });
-
- return MeanTestHelper<float, 4, 4>(
- workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output);
-}
-
-LayerTestResult<float, 4> MeanFloatMultipleDimsTest(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 2, 3, 1, 2 };
- const unsigned int outputShape[] = { 1, 3, 1, 1 };
-
- std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f });
- std::vector<float> output({ 1.5f, 3.5f, 5.5f });
-
- return MeanTestHelper<float, 4, 4>(
- workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output);
-}
-
-LayerTestResult<float, 1> MeanVtsFloat1Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 4, 3, 2 };
- const unsigned int outputShape[] = { 2 };
-
- std::vector<float> input({ 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 });
- std::vector<float> output({ 12.0f, 13.0f });
-
- return MeanTestHelper<float, 3, 1>(
- workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output);
-}
-
-LayerTestResult<float, 3> MeanVtsFloat2Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 4, 3, 2 };
- const unsigned int outputShape[] = { 1, 3, 1 };
-
- std::vector<float> input({ 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 });
- std::vector<float> output({ 10.5f, 12.5f, 14.5f });
-
- return MeanTestHelper<float, 3, 3>(
- workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output);
-}
-
-LayerTestResult<float, 3> MeanVtsFloat3Test(
- armnn::IWorkloadFactory& workloadFactory,
- const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
- const unsigned int inputShape[] = { 1, 2, 2, 1 };
- const unsigned int outputShape[] = { 1, 2, 1 };
-
- std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f });
- std::vector<float> output({ 1.5f, 3.5f });
-
- return MeanTestHelper<float, 4, 3>(
- workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output);
-}
-
LayerTestResult<float, 4> AdditionAfterMaxPoolTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-17 02:22:36 +0000