1 files changed, 60 insertions, 0 deletions
diff --git a/src/armnn/test/optimizations/ConvertConstantsFloatToHalfTests.cpp b/src/armnn/test/optimizations/ConvertConstantsFloatToHalfTests.cpp
new file mode 100644
index 0000000000..b40bd2de41
--- /dev/null
+++ b/src/armnn/test/optimizations/ConvertConstantsFloatToHalfTests.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "../TestUtils.hpp"
+
+#include <Optimizer.hpp>
+#include <Half.hpp>
+
+#include <boost/test/unit_test.hpp>
+
+using namespace armnn;
+
+BOOST_AUTO_TEST_SUITE(Optimizer)
+using namespace armnn::optimizations;
+
+BOOST_AUTO_TEST_CASE(ConvertConstantsFloatToHalfTest)
+{
+    armnn::Graph graph;
+
+    const armnn::TensorInfo info({ 1, 1, 1, 2 }, armnn::DataType::Float16);
+
+    // Create const tensor from fp32 data
+    unsigned int dims[] = { 4, 1, 1, 1 };
+    std::vector<float> floatWeights{ 1.0f, 2.0f, 3.0f, 4.0f };
+    armnn::ConstTensor weights(armnn::TensorInfo(4, dims, armnn::DataType::Float32), floatWeights);
+
+    // Create 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));
+
+    // Check tensor data type before conversion
+    BOOST_CHECK(fc->m_Weight->GetTensorInfo().GetDataType() == armnn::DataType::Float32);
+
+    // Run the optimizer
+    armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(ConvertConstantsFloatToHalf()));
+
+    // Check tensor data type after conversion
+    BOOST_CHECK(fc->m_Weight->GetTensorInfo().GetDataType() == armnn::DataType::Float16);
+
+    // Check whether data matches expected fp16 data
+    Half* data = fc->m_Weight->GetTensor<Half>();
+    BOOST_CHECK(data[0] == Half(1.0f));
+    BOOST_CHECK(data[1] == Half(2.0f));
+    BOOST_CHECK(data[2] == Half(3.0f));
+    BOOST_CHECK(data[3] == Half(4.0f));
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+\ No newline at end of file