IVGCVSW-1946: Remove armnn/src from the include paths

Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e

1 files changed, 0 insertions, 224 deletions

diff --git a/src/backends/test/PermuteTestImpl.hpp b/src/backends/test/PermuteTestImpl.hpp
deleted file mode 100644
index 9e5dda491f..0000000000
--- a/src/backends/test/PermuteTestImpl.hpp
+++ /dev/null
@@ -1,224 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#pragma once
-
-#include <armnn/ArmNN.hpp>
-#include <armnn/Tensor.hpp>
-#include <armnn/TypesUtils.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);
-}
-
-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);
-}