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-rw-r--r--src/armnn/backends/test/PermuteTestImpl.hpp121
1 files changed, 121 insertions, 0 deletions
diff --git a/src/armnn/backends/test/PermuteTestImpl.hpp b/src/armnn/backends/test/PermuteTestImpl.hpp
new file mode 100644
index 0000000000..4eafa1a211
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+++ b/src/armnn/backends/test/PermuteTestImpl.hpp
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+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#pragma once
+
+#include <armnn/ArmNN.hpp>
+#include <armnn/Tensor.hpp>
+#include <armnn/TypesUtils.hpp>
+#include <backends/WorkloadInfo.hpp>
+
+#include "test/TensorHelpers.hpp"
+#include "QuantizeHelper.hpp"
+
+#include "backends/CpuTensorHandle.hpp"
+#include "backends/WorkloadFactory.hpp"
+
+template<typename T>
+LayerTestResult<T, 4> SimplePermuteTestImpl(
+ armnn::IWorkloadFactory& workloadFactory,
+ armnn::PermuteDescriptor descriptor,
+ 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::PermuteQueueDescriptor data;
+ data.m_Parameters = descriptor;
+ armnn::WorkloadInfo info;
+ AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
+ AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
+
+ std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(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;
+}
+
+LayerTestResult<float, 4> SimplePermuteFloat32TestCommon(armnn::IWorkloadFactory& workloadFactory)
+{
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ unsigned int inputShape[] = { 1, 2, 2, 2 };
+ unsigned int outputShape[] = { 1, 2, 2, 2 };
+
+ armnn::PermuteDescriptor descriptor;
+ descriptor.m_DimMappings = {0U, 3U, 1U, 2U};
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32);
+
+ std::vector<float> input = std::vector<float>(
+ {
+ 1.0f, 2.0f,
+ 3.0f, 4.0f,
+
+ 5.0f, 6.0f,
+ 7.0f, 8.0f
+ });
+
+ std::vector<float> outputExpected = std::vector<float>(
+ {
+ 1.0f, 5.0f, 2.0f, 6.0f,
+ 3.0f, 7.0f, 4.0f, 8.0f
+ });
+
+ return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo,
+ outputTensorInfo, input, outputExpected);
+}
+
+LayerTestResult<uint8_t, 4> SimplePermuteUint8TestCommon(armnn::IWorkloadFactory& workloadFactory)
+{
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ unsigned int inputShape[] = { 1, 2, 2, 2 };
+ unsigned int outputShape[] = { 1, 2, 2, 2 };
+
+ armnn::PermuteDescriptor descriptor;
+ descriptor.m_DimMappings = {0U, 3U, 1U, 2U};
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::QuantisedAsymm8);
+ inputTensorInfo.SetQuantizationScale(1.0f);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::QuantisedAsymm8);
+ outputTensorInfo.SetQuantizationScale(1.0f);
+
+ std::vector<uint8_t> input = std::vector<uint8_t>(
+ {
+ 1, 2,
+ 3, 4,
+
+ 5, 6,
+ 7, 8
+ });
+
+ std::vector<uint8_t> outputExpected = std::vector<uint8_t>(
+ {
+ 1, 5, 2, 6,
+ 3, 7, 4, 8
+ });
+
+ return SimplePermuteTestImpl<uint8_t>(workloadFactory, descriptor, inputTensorInfo,
+ outputTensorInfo, input, outputExpected);
+}