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

Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e

1 files changed, 0 insertions, 212 deletions

diff --git a/src/backends/test/LayerReleaseConstantDataTest.cpp b/src/backends/test/LayerReleaseConstantDataTest.cpp
deleted file mode 100644
index 7549dfd5f8..0000000000
--- a/src/backends/test/LayerReleaseConstantDataTest.cpp
+++ /dev/null
@@ -1,212 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include <boost/test/unit_test.hpp>
-#include <boost/cast.hpp>
-
-#include <backends/WorkloadData.hpp>
-#include <Graph.hpp>
-
-#include <utility>
-
-#include <backends/CpuTensorHandle.hpp>
-#include <backends/cl/ClWorkloadFactory.hpp>
-
-using namespace armnn;
-using namespace std;
-
-// connects two layers
-void Connect(Layer* from, Layer* to, const TensorInfo& tensorInfo, unsigned int fromIndex = 0, unsigned int toIndex = 0)
-{
-    from->GetOutputSlot(fromIndex).Connect(to->GetInputSlot(toIndex));
-    from->GetOutputHandler(fromIndex).SetTensorInfo(tensorInfo);
-}
-
-/////////////////////////////////////////////////////////////////////////////////////////////
-// The following test are created specifically to test ReleaseConstantData() method in the Layer
-// They build very simple graphs including the layer will be checked.
-// Checks weights and biases before the method called and after.
-/////////////////////////////////////////////////////////////////////////////////////////////
-
-BOOST_AUTO_TEST_SUITE(LayerReleaseConstantDataTest)
-
-BOOST_AUTO_TEST_CASE(ReleaseBatchNormalizationLayerConstantDataTest)
-{
-    Graph             graph;
-    ClWorkloadFactory factory;
-
-    // create the layer we're testing
-    BatchNormalizationDescriptor layerDesc;
-    layerDesc.m_Eps = 0.05f;
-    BatchNormalizationLayer* const layer = graph.AddLayer<BatchNormalizationLayer>(layerDesc, "layer");
-
-    armnn::TensorInfo weightInfo({3}, armnn::DataType::Float32);
-    layer->m_Mean     = std::make_unique<ScopedCpuTensorHandle>(weightInfo);
-    layer->m_Variance = std::make_unique<ScopedCpuTensorHandle>(weightInfo);
-    layer->m_Beta     = std::make_unique<ScopedCpuTensorHandle>(weightInfo);
-    layer->m_Gamma    = std::make_unique<ScopedCpuTensorHandle>(weightInfo);
-    layer->m_Mean->Allocate();
-    layer->m_Variance->Allocate();
-    layer->m_Beta->Allocate();
-    layer->m_Gamma->Allocate();
-
-    // create extra layers
-    Layer* const input = graph.AddLayer<InputLayer>(0, "input");
-    Layer* const output = graph.AddLayer<OutputLayer>(0, "output");
-
-    // connect up
-    armnn::TensorInfo tensorInfo({2, 3, 1, 1}, armnn::DataType::Float32);
-    Connect(input, layer, tensorInfo);
-    Connect(layer, output, tensorInfo);
-
-    // check the constants that they are not NULL
-    BOOST_CHECK(layer->m_Mean != nullptr);
-    BOOST_CHECK(layer->m_Variance != nullptr);
-    BOOST_CHECK(layer->m_Beta != nullptr);
-    BOOST_CHECK(layer->m_Gamma != nullptr);
-
-    // free up the constants..
-    layer->ReleaseConstantData();
-
-    // check the constants that they are NULL now
-    BOOST_CHECK(layer->m_Mean == nullptr);
-    BOOST_CHECK(layer->m_Variance == nullptr);
-    BOOST_CHECK(layer->m_Beta == nullptr);
-    BOOST_CHECK(layer->m_Gamma == nullptr);
-
- }
-
-
- BOOST_AUTO_TEST_CASE(ReleaseConvolution2dLayerConstantDataTest)
- {
-     Graph             graph;
-     ClWorkloadFactory factory;
-
-     // create the layer we're testing
-     Convolution2dDescriptor layerDesc;
-     layerDesc.m_PadLeft = 3;
-     layerDesc.m_PadRight = 3;
-     layerDesc.m_PadTop = 1;
-     layerDesc.m_PadBottom = 1;
-     layerDesc.m_StrideX = 2;
-     layerDesc.m_StrideY = 4;
-     layerDesc.m_BiasEnabled = true;
-
-     Convolution2dLayer* const layer = graph.AddLayer<Convolution2dLayer>(layerDesc, "layer");
-
-     layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(TensorInfo({2, 3, 5, 3},
-                                                                          armnn::DataType::Float32));
-     layer->m_Bias   = std::make_unique<ScopedCpuTensorHandle>
-             (TensorInfo({2}, GetBiasDataType(armnn::DataType::Float32)));
-
-     layer->m_Weight->Allocate();
-     layer->m_Bias->Allocate();
-
-     // create extra layers
-     Layer* const input = graph.AddLayer<InputLayer>(0, "input");
-     Layer* const output = graph.AddLayer<OutputLayer>(0, "output");
-
-     // connect up
-     Connect(input, layer, TensorInfo({2, 3, 8, 16}, armnn::DataType::Float32));
-     Connect(layer, output, TensorInfo({2, 2, 2, 10}, armnn::DataType::Float32));
-
-     // check the constants that they are not NULL
-     BOOST_CHECK(layer->m_Weight != nullptr);
-     BOOST_CHECK(layer->m_Bias != nullptr);
-
-     // free up the constants..
-     layer->ReleaseConstantData();
-
-     // check the constants that they are NULL now
-     BOOST_CHECK(layer->m_Weight == nullptr);
-     BOOST_CHECK(layer->m_Bias == nullptr);
-}
-
-BOOST_AUTO_TEST_CASE(ReleaseDepthwiseConvolution2dLayerConstantDataTest)
-{
-    Graph             graph;
-    ClWorkloadFactory factory;
-
-    // create the layer we're testing
-    DepthwiseConvolution2dDescriptor layerDesc;
-    layerDesc.m_PadLeft         = 3;
-    layerDesc.m_PadRight        = 3;
-    layerDesc.m_PadTop          = 1;
-    layerDesc.m_PadBottom       = 1;
-    layerDesc.m_StrideX         = 2;
-    layerDesc.m_StrideY         = 4;
-    layerDesc.m_BiasEnabled     = true;
-
-    DepthwiseConvolution2dLayer* const layer = graph.AddLayer<DepthwiseConvolution2dLayer>(layerDesc, "layer");
-
-    layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(TensorInfo({3, 3, 5, 3}, DataType::Float32));
-    layer->m_Bias   = std::make_unique<ScopedCpuTensorHandle>(TensorInfo({9}, DataType::Float32));
-    layer->m_Weight->Allocate();
-    layer->m_Bias->Allocate();
-
-    // create extra layers
-    Layer* const input = graph.AddLayer<InputLayer>(0, "input");
-    Layer* const output = graph.AddLayer<OutputLayer>(0, "output");
-
-    // connect up
-    Connect(input, layer, TensorInfo({2, 3, 8, 16}, armnn::DataType::Float32));
-    Connect(layer, output, TensorInfo({2, 9, 2, 10}, armnn::DataType::Float32));
-
-    // check the constants that they are not NULL
-    BOOST_CHECK(layer->m_Weight != nullptr);
-    BOOST_CHECK(layer->m_Bias != nullptr);
-
-    // free up the constants..
-    layer->ReleaseConstantData();
-
-    // check the constants that they are NULL now
-    BOOST_CHECK(layer->m_Weight == nullptr);
-    BOOST_CHECK(layer->m_Bias == nullptr);
-}
-
-BOOST_AUTO_TEST_CASE(ReleaseFullyConnectedLayerConstantDataTest)
-{
-    Graph             graph;
-    ClWorkloadFactory factory;
-
-    // create the layer we're testing
-    FullyConnectedDescriptor layerDesc;
-    layerDesc.m_BiasEnabled = true;
-    layerDesc.m_TransposeWeightMatrix = true;
-
-    FullyConnectedLayer* const layer = graph.AddLayer<FullyConnectedLayer>(layerDesc, "layer");
-
-    float inputsQScale = 1.0f;
-    float outputQScale = 2.0f;
-
-    layer->m_Weight = std::make_unique<ScopedCpuTensorHandle>(TensorInfo({7, 20},
-                                                          DataType::QuantisedAsymm8, inputsQScale, 0));
-    layer->m_Bias   = std::make_unique<ScopedCpuTensorHandle>(TensorInfo({7},
-                                                          GetBiasDataType(DataType::QuantisedAsymm8), inputsQScale));
-    layer->m_Weight->Allocate();
-    layer->m_Bias->Allocate();
-
-    // create extra layers
-    Layer* const input = graph.AddLayer<InputLayer>(0, "input");
-    Layer* const output = graph.AddLayer<OutputLayer>(0, "output");
-
-    // connect up
-    Connect(input, layer, TensorInfo({3, 1, 4, 5}, DataType::QuantisedAsymm8, inputsQScale));
-    Connect(layer, output, TensorInfo({3, 7}, DataType::QuantisedAsymm8, outputQScale));
-
-    // check the constants that they are not NULL
-    BOOST_CHECK(layer->m_Weight != nullptr);
-    BOOST_CHECK(layer->m_Bias != nullptr);
-
-    // free up the constants..
-    layer->ReleaseConstantData();
-
-    // check the constants that they are NULL now
-    BOOST_CHECK(layer->m_Weight == nullptr);
-    BOOST_CHECK(layer->m_Bias == nullptr);
-}
-
-BOOST_AUTO_TEST_SUITE_END()
-