1 files changed, 225 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/PermuteTestImpl.hpp b/src/backends/backendsCommon/test/PermuteTestImpl.hpp
new file mode 100644
index 0000000000..529f9d34e0
--- /dev/null
+++ b/src/backends/backendsCommon/test/PermuteTestImpl.hpp
@@ -0,0 +1,225 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "QuantizeHelper.hpp"
+
+#include <armnn/ArmNN.hpp>
+#include <armnn/Tensor.hpp>
+#include <armnn/TypesUtils.hpp>
+
+#include <test/TensorHelpers.hpp>
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+#include <backendsCommon/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);
+}
+
+LayerTestResult<float, 4>
+PermuteFloat32ValueSet1TestCommon(armnn::IWorkloadFactory& workloadFactory)
+{
+    armnn::TensorInfo inputTensorInfo;
+    armnn::TensorInfo outputTensorInfo;
+
+    unsigned int inputShape[]  = { 1, 2, 2, 3 };
+    unsigned int outputShape[] = { 1, 3, 2, 2 };
+
+    armnn::PermuteDescriptor descriptor;
+    descriptor.m_DimMappings = {0U, 2U, 3U, 1U};
+
+    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,
+                    11.0f, 12.0f, 13.0f,
+                    21.0f, 22.0f, 23.0f,
+                    31.0f, 32.0f, 33.0f,
+            });
+
+    std::vector<float> outputExpected = std::vector<float>(
+            {
+                    1.0f, 11.0f, 21.0f, 31.0f,
+                    2.0f, 12.0f, 22.0f, 32.0f,
+                    3.0f, 13.0f, 23.0f, 33.0f,
+            });
+
+    return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo,
+                                        outputTensorInfo, input, outputExpected);
+}
+
+LayerTestResult<float, 4>
+PermuteFloat32ValueSet2TestCommon(armnn::IWorkloadFactory& workloadFactory)
+{
+    armnn::TensorInfo inputTensorInfo;
+    armnn::TensorInfo outputTensorInfo;
+
+    unsigned int inputShape[]  = { 1, 3, 2, 2 };
+    unsigned int outputShape[] = { 1, 2, 2, 3 };
+
+    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, 11.0f, 21.0f, 31.0f,
+                2.0f, 12.0f, 22.0f, 32.0f,
+                3.0f, 13.0f, 23.0f, 33.0f,
+            });
+
+    std::vector<float> outputExpected = std::vector<float>(
+            {
+                1.0f,   2.0f,  3.0f,
+                11.0f, 12.0f, 13.0f,
+                21.0f, 22.0f, 23.0f,
+                31.0f, 32.0f, 33.0f,
+            });
+
+    return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo,
+                                        outputTensorInfo, input, outputExpected);
+}
+
+LayerTestResult<float, 4>
+PermuteFloat32ValueSet3TestCommon(armnn::IWorkloadFactory& workloadFactory)
+{
+    armnn::TensorInfo inputTensorInfo;
+    armnn::TensorInfo outputTensorInfo;
+
+    unsigned int inputShape[]  = { 1, 2, 3, 3 };
+    unsigned int outputShape[] = { 1, 3, 2, 3 };
+
+    armnn::PermuteDescriptor descriptor;
+    descriptor.m_DimMappings = {0U, 2U, 3U, 1U};
+
+    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,
+                11.0f, 12.0f, 13.0f,
+                21.0f, 22.0f, 23.0f,
+                31.0f, 32.0f, 33.0f,
+                41.0f, 42.0f, 43.0f,
+                51.0f, 52.0f, 53.0f,
+            });
+
+    std::vector<float> outputExpected = std::vector<float>(
+            {
+                1.0f, 11.0f, 21.0f, 31.0f, 41.0f, 51.0f,
+                2.0f, 12.0f, 22.0f, 32.0f, 42.0f, 52.0f,
+                3.0f, 13.0f, 23.0f, 33.0f, 43.0f, 53.0f,
+            });
+
+    return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo,
+                                        outputTensorInfo, input, outputExpected);
+}