1 files changed, 0 insertions, 103 deletions
diff --git a/src/armnn/test/NeonTimerTest.cpp b/src/armnn/test/NeonTimerTest.cpp
deleted file mode 100644
index 6d0429c8b9..0000000000
--- a/src/armnn/test/NeonTimerTest.cpp
+++ /dev/null
@@ -1,103 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include <NeonTimer.hpp>
-#include "TensorHelpers.hpp"
-
-#include <armnn/ArmNN.hpp>
-#include <armnn/Tensor.hpp>
-#include <armnn/TypesUtils.hpp>
-#include <backends/CpuTensorHandle.hpp>
-#include <backends/neon/NeonWorkloadFactory.hpp>
-#include <backends/WorkloadFactory.hpp>
-#include <backends/test/LayerTests.hpp>
-#include <backends/test/TensorCopyUtils.hpp>
-#include <backends/test/WorkloadTestUtils.hpp>
-
-#include <boost/test/unit_test.hpp>
-#include <cstdlib>
-#include <algorithm>
-
-using namespace armnn;
-
-BOOST_AUTO_TEST_SUITE(NeonTimerInstrument)
-
-
-BOOST_AUTO_TEST_CASE(NeonTimerGetName)
-{
-    NeonTimer neonTimer;
-    BOOST_CHECK_EQUAL(neonTimer.GetName(), "NeonKernelTimer");
-}
-
-BOOST_AUTO_TEST_CASE(NeonTimerMeasure)
-{
-    NeonWorkloadFactory workloadFactory;
-
-    unsigned int inputWidth = 4000u;
-    unsigned int inputHeight = 5000u;
-    unsigned int inputChannels = 1u;
-    unsigned int inputBatchSize = 1u;
-
-    float upperBound = 1.0f;
-    float lowerBound = -1.0f;
-
-    size_t inputSize = inputWidth * inputHeight * inputChannels * inputBatchSize;
-    std::vector<float> inputData(inputSize, 0.f);
-    std::generate(inputData.begin(), inputData.end(), [](){
-        return (static_cast<float>(rand()) / static_cast<float>(RAND_MAX / 3)) + 1.f; });
-
-    unsigned int outputWidth = inputWidth;
-    unsigned int outputHeight = inputHeight;
-    unsigned int outputChannels = inputChannels;
-    unsigned int outputBatchSize = inputBatchSize;
-
-    armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth },
-        armnn::GetDataType<float>());
-
-    armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth },
-        armnn::GetDataType<float>());
-
-    LayerTestResult<float, 4> result(inputTensorInfo);
-
-    auto input = MakeTensor<float, 4>(inputTensorInfo, inputData);
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    // Setup bounded ReLu
-    armnn::ActivationQueueDescriptor descriptor;
-    armnn::WorkloadInfo workloadInfo;
-    AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get());
-
-    descriptor.m_Parameters.m_Function = armnn::ActivationFunction::BoundedReLu;
-    descriptor.m_Parameters.m_A = upperBound;
-    descriptor.m_Parameters.m_B = lowerBound;
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateActivation(descriptor, workloadInfo);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
-
-    NeonTimer neonTimer;
-    // Start the timer.
-    neonTimer.Start();
-    // Execute the workload.
-    workload->Execute();
-    // Stop the timer.
-    neonTimer.Stop();
-
-    std::vector<Measurement> measurements = neonTimer.GetMeasurements();
-
-    BOOST_CHECK_EQUAL(measurements.size(), 2);
-    BOOST_CHECK_EQUAL(measurements[0].m_Name, "NeonKernelTimer/0: NEFillBorderKernel");
-    BOOST_CHECK(measurements[0].m_Value > 0.0);
-    BOOST_CHECK_EQUAL(measurements[1].m_Name, "NeonKernelTimer/1: NEActivationLayerKernel");
-    BOOST_CHECK(measurements[1].m_Value > 0.0);
-}
-
-BOOST_AUTO_TEST_SUITE_END()