Creating gh-pages documentation for ArmNN

Signed-off-by: Jim Flynn <jim.flynn@arm.com>

1 files changed, 0 insertions, 499 deletions

diff --git a/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp
deleted file mode 100644
index 9239c665eb..0000000000
--- a/src/backends/backendsCommon/test/layerTests/PadTestImpl.cpp
+++ /dev/null
@@ -1,499 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "PadTestImpl.hpp"
-
-#include <QuantizeHelper.hpp>
-
-#include <backendsCommon/test/TensorCopyUtils.hpp>
-#include <backendsCommon/test/WorkloadTestUtils.hpp>
-
-#include <test/TensorHelpers.hpp>
-
-//
-// Implementation templates
-//
-
-template<armnn::DataType ArmnnType, typename T>
-LayerTestResult<T, 2> Pad2dTestCommon(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    float qScale,
-    int32_t qOffset,
-    const float customPaddingValue)
-{
-    boost::ignore_unused(memoryManager);
-    const armnn::TensorShape inputShape{ 3, 3 };
-    const armnn::TensorShape outputShape{ 7, 7 };
-
-    const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);
-    const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);
-
-    std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(
-        {
-            // Height (3) x Width (3)
-            4, 8, 6,
-            7, 4, 4,
-            3, 2, 4
-        },
-        qScale, qOffset);
-
-    auto p = customPaddingValue;
-    std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(
-        {
-            p, p, p, p, p, p, p,
-            p, p, p, p, p, p, p,
-            p, p, 4, 8, 6, p, p,
-            p, p, 7, 4, 4, p, p,
-            p, p, 3, 2, 4, p, p,
-            p, p, p, p, p, p, p,
-            p, p, p, p, p, p, p
-        },
-        qScale, qOffset);
-
-    auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues));
-
-    LayerTestResult<T, 2> result(outputTensorInfo);
-    result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues));
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::PadQueueDescriptor descriptor;
-
-    std::vector<std::pair<unsigned int, unsigned int>> padList;
-    padList.push_back(std::pair<unsigned int, unsigned int>(2,2));
-    padList.push_back(std::pair<unsigned int, unsigned int>(2,2));
-
-    descriptor.m_Parameters.m_PadList = padList;
-    descriptor.m_Parameters.m_PadValue = customPaddingValue;
-    armnn::WorkloadInfo info;
-
-    AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]);
-
-    workload->PostAllocationConfigure();
-    workload->Execute();
-
-    CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get());
-
-    return result;
-}
-
-template<armnn::DataType ArmnnType, typename T>
-LayerTestResult<T, 3> Pad3dTestCommon(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    float qScale,
-    int32_t qOffset)
-{
-    boost::ignore_unused(memoryManager);
-    const armnn::TensorShape inputShape{ 2, 2, 2 };
-    const armnn::TensorShape outputShape{ 3, 5, 6 };
-
-    const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);
-    const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);
-
-    std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(
-        {
-            // Channel 0, Height (2) x Width (2)
-            0, 4,
-            2, 5,
-
-            // Channel 1, Height (2) x Width (2)
-            6, 1,
-            5, 2
-        },
-        qScale, qOffset);
-
-    std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(
-        {
-            0, 0, 0, 0, 0, 0,
-            0, 0, 0, 0, 0, 0,
-            0, 0, 0, 4, 0, 0,
-            0, 0, 2, 5, 0, 0,
-            0, 0, 0, 0, 0, 0,
-
-            0, 0, 0, 0, 0, 0,
-            0, 0, 0, 0, 0, 0,
-            0, 0, 6, 1, 0, 0,
-            0, 0, 5, 2, 0, 0,
-            0, 0, 0, 0, 0, 0,
-
-            0, 0, 0, 0, 0, 0,
-            0, 0, 0, 0, 0, 0,
-            0, 0, 0, 0, 0, 0,
-            0, 0, 0, 0, 0, 0,
-            0, 0, 0, 0, 0, 0
-       },
-       qScale, qOffset);
-
-    auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues));
-
-    LayerTestResult<T, 3> result(outputTensorInfo);
-    result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues));
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::PadQueueDescriptor descriptor;
-
-    std::vector<std::pair<unsigned int, unsigned int>> PadList;
-    PadList.push_back(std::pair<unsigned int, unsigned int>(0,1));
-    PadList.push_back(std::pair<unsigned int, unsigned int>(2,1));
-    PadList.push_back(std::pair<unsigned int, unsigned int>(2,2));
-
-    descriptor.m_Parameters.m_PadList = PadList;
-    armnn::WorkloadInfo info;
-
-    AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]);
-
-    workload->PostAllocationConfigure();
-    workload->Execute();
-
-    CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get());
-
-    return result;
-}
-
-template<armnn::DataType ArmnnType, typename T>
-LayerTestResult<T, 4> Pad4dTestCommon(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    float qScale,
-    int32_t qOffset)
-{
-    boost::ignore_unused(memoryManager);
-    const armnn::TensorShape inputShape{ 2, 2, 3, 2 };
-    const armnn::TensorShape outputShape{ 4, 5, 7, 4 };
-
-    const armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);
-    const armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);
-
-    std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(
-        {
-            // Batch 0, Channel 0, Height (3) x Width (2)
-             0,  1,
-             2,  3,
-             4,  5,
-
-            // Batch 0, Channel 1, Height (3) x Width (2)
-             6,  7,
-             8,  9,
-            10, 11,
-
-            // Batch 1, Channel 0, Height (3) x Width (2)
-            12, 13,
-            14, 15,
-            16, 17,
-
-            // Batch 1, Channel 1, Height (3) x Width (2)
-            18, 19,
-            20, 21,
-            22, 23
-        },
-        qScale, qOffset);
-
-    std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(
-        {
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 1, 0,
-            0, 2, 3, 0,
-            0, 4, 5, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 6, 7, 0,
-            0, 8, 9, 0,
-            0, 10, 11, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 12, 13, 0,
-            0, 14, 15, 0,
-            0, 16, 17, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 18, 19, 0,
-            0, 20, 21, 0,
-            0, 22, 23, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0,
-            0, 0, 0, 0
-        },
-        qScale, qOffset);
-
-    auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, std::vector<T>(inputValues));
-
-    LayerTestResult<T, 4> result(outputTensorInfo);
-    result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, std::vector<T>(expectedOutputValues));
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::PadQueueDescriptor descriptor;
-
-    std::vector<std::pair<unsigned int, unsigned int>> PadList;
-    PadList.push_back(std::pair<unsigned int, unsigned int>(1,1));
-    PadList.push_back(std::pair<unsigned int, unsigned int>(2,1));
-    PadList.push_back(std::pair<unsigned int, unsigned int>(3,1));
-    PadList.push_back(std::pair<unsigned int, unsigned int>(1,1));
-
-    descriptor.m_Parameters.m_PadList = PadList;
-    armnn::WorkloadInfo info;
-
-    AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePad(descriptor, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0][0]);
-
-    workload->PostAllocationConfigure();
-    workload->Execute();
-
-    CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get());
-
-    return result;
-}
-
-//
-// Explicit template specializations
-//
-
-template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2>
-Pad2dTestCommon<armnn::DataType::QSymmS16>(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    float qScale,
-    int32_t qOffset,
-    const float customPaddingValue);
-
-template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
-Pad3dTestCommon<armnn::DataType::QSymmS16>(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    float qScale,
-    int32_t qOffset);
-
-template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4>
-Pad4dTestCommon<armnn::DataType::QSymmS16>(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    float qScale,
-    int32_t qOffset);
-
-//
-// Implementation functions
-//
-
-LayerTestResult<uint8_t, 2> PadUint82dTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);
-}
-
-LayerTestResult<uint8_t, 2> PadUint82dCustomPaddingTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    return Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f);
-}
-
-LayerTestResult<uint8_t, 3> PadUint83dTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    return Pad3dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);
-}
-
-LayerTestResult<uint8_t, 4> PadUint84dTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    return Pad4dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);
-}
-
-LayerTestResult<float, 2> PadFloat322dTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
-}
-
-LayerTestResult<float, 2> PadFloat322dCustomPaddingTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    return Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, 1.0f);
-}
-
-LayerTestResult<float, 3> PadFloat323dTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    return Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
-}
-
-LayerTestResult<float, 4> PadFloat324dTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    return Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);
-}