1 files changed, 0 insertions, 188 deletions
diff --git a/src/backends/backendsCommon/test/ReshapeTestImpl.hpp b/src/backends/backendsCommon/test/ReshapeTestImpl.hpp
deleted file mode 100644
index 49918c5cd1..0000000000
--- a/src/backends/backendsCommon/test/ReshapeTestImpl.hpp
+++ /dev/null
@@ -1,188 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#pragma once
-
-#include "QuantizeHelper.hpp"
-#include "WorkloadTestUtils.hpp"
-
-#include <armnn/ArmNN.hpp>
-#include <armnn/Tensor.hpp>
-#include <armnn/TypesUtils.hpp>
-
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <backendsCommon/IBackendInternal.hpp>
-#include <backendsCommon/WorkloadFactory.hpp>
-
-#include <test/TensorHelpers.hpp>
-
-template<typename T>
-LayerTestResult<T, 4> SimpleReshapeTestImpl(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    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::ReshapeQueueDescriptor data;
-    armnn::WorkloadInfo info;
-    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateReshape(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> SimpleReshapeFloat32Test(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[] = { 2, 2, 3, 3 };
-    unsigned int outputShape[] = { 2, 2, 9, 1 };
-
-    inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32);
-    outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32);
-
-    std::vector<float> input = std::vector<float>(
-    {
-        0.0f, 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, 25.0f, 26.0f,
-
-        27.0f, 28.0f, 29.0f,
-        30.0f, 31.0f, 32.0f,
-        33.0f, 34.0f, 35.0f,
-    });
-
-    std::vector<float> outputExpected = std::vector<float>(
-    {
-        0.0f, 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, 25.0f, 26.0f,
-
-        27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f,
-    });
-
-    return SimpleReshapeTestImpl<float>(
-        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected);
-}
-
-LayerTestResult<float, 4> SimpleFloorTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
-    const armnn::TensorInfo outputTensorInfo(inputTensorInfo);
-
-    auto input = MakeTensor<float, 4>(inputTensorInfo,
-        { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
-          1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f });
-
-    LayerTestResult<float, 4> ret(outputTensorInfo);
-    ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
-        { -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f,
-          1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f });
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::FloorQueueDescriptor data;
-    armnn::WorkloadInfo info;
-    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFloor(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<uint8_t, 4> SimpleReshapeUint8Test(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[] = { 2, 2, 3, 3 };
-    unsigned int outputShape[] = { 2, 2, 9, 1 };
-
-    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>(
-    {
-        0, 1, 2,
-        3, 4, 5,
-        6, 7, 8,
-
-        9, 10, 11,
-        12, 13, 14,
-        15, 16, 17,
-
-        18, 19, 20,
-        21, 22, 23,
-        24, 25, 26,
-
-        27, 28, 29,
-        30, 31, 32,
-        33, 34, 35,
-    });
-
-    std::vector<uint8_t> outputExpected = std::vector<uint8_t>(
-    {
-        0, 1, 2, 3, 4, 5, 6, 7, 8,
-
-        9, 10, 11, 12, 13, 14, 15, 16, 17,
-
-        18, 19, 20, 21, 22, 23, 24, 25, 26,
-
-        27, 28, 29, 30, 31, 32, 33, 34, 35,
-    });
-
-    return SimpleReshapeTestImpl<uint8_t>(
-        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected);
-}