1 files changed, 60 insertions, 0 deletions
diff --git a/src/armnn/test/optimizations/ConvertConstantsHalfToFloatTests.cpp b/src/armnn/test/optimizations/ConvertConstantsHalfToFloatTests.cpp
new file mode 100644
index 0000000000..aca58ad113
--- /dev/null
+++ b/src/armnn/test/optimizations/ConvertConstantsHalfToFloatTests.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "../TestUtils.hpp"
+
+#include <Optimizer.hpp>
+
+#include <boost/test/unit_test.hpp>
+
+BOOST_AUTO_TEST_SUITE(Optimizer)
+using namespace armnn::optimizations;
+
+BOOST_AUTO_TEST_CASE(ConvertConstantsHalfToFloatTest)
+{
+    armnn::Graph graph;
+
+    const armnn::TensorInfo info({ 1, 1, 1, 2 }, armnn::DataType::Float32);
+
+    // Create the half precision input data
+    unsigned int dims[] = { 4, 1, 1, 1 };
+    std::vector<float> convWeightsData{ 1.f, 2.f, 3.f, 4.f };
+    std::vector<uint16_t> halfWeights(4);
+    armnnUtils::FloatingPointConverter::ConvertFloat32To16(convWeightsData.data(), convWeightsData.size(),
+                                                           halfWeights.data());
+    armnn::ConstTensor weights(armnn::TensorInfo(4, dims, armnn::DataType::Float16), halfWeights);
+
+    //Create the simple test network
+    auto input = graph.AddLayer<armnn::InputLayer>(0, "input");
+    input->GetOutputSlot().SetTensorInfo(info);
+
+    auto fc      = graph.AddLayer<armnn::FullyConnectedLayer>(armnn::FullyConnectedDescriptor(), "fc");
+    fc->m_Weight = std::make_unique<armnn::ScopedCpuTensorHandle>(weights);
+    fc->GetOutputSlot().SetTensorInfo(info);
+
+    auto output = graph.AddLayer<armnn::OutputLayer>(1, "output");
+
+    //Connect up the layers
+    input->GetOutputSlot().Connect(fc->GetInputSlot(0));
+    fc->GetOutputSlot().Connect(output->GetInputSlot(0));
+
+    //Test the tensor info is correct.
+    BOOST_CHECK(fc->m_Weight->GetTensorInfo().GetDataType() == armnn::DataType::Float16);
+
+    // Run the optimizer
+    armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(ConvertConstantsHalfToFloat()));
+
+    //Test the tensor info is correct.
+    BOOST_CHECK(fc->m_Weight->GetTensorInfo().GetDataType() == armnn::DataType::Float32);
+
+    // Now test the data matches float32 data
+    float* data = fc->m_Weight->GetTensor<float>();
+    BOOST_CHECK(1.0f == data[0]);
+    BOOST_CHECK(2.0f == data[1]);
+    BOOST_CHECK(3.0f == data[2]);
+    BOOST_CHECK(4.0f == data[3]);
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+\ No newline at end of file