1 files changed, 49 insertions, 0 deletions
diff --git a/src/armnn/test/optimizations/OptimizeInverseConversionsTests.cpp b/src/armnn/test/optimizations/OptimizeInverseConversionsTests.cpp
new file mode 100644
index 0000000000..130e498b83
--- /dev/null
+++ b/src/armnn/test/optimizations/OptimizeInverseConversionsTests.cpp
@@ -0,0 +1,49 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "../TestUtils.hpp"
+
+#include <Optimizer.hpp>
+
+#include <boost/test/unit_test.hpp>
+
+using namespace armnn;
+
+BOOST_AUTO_TEST_SUITE(Optimizer)
+using namespace armnn::optimizations;
+
+BOOST_AUTO_TEST_CASE(OptimizeInverseConversionsTest)
+{
+    armnn::Graph graph;
+
+    auto output = graph.AddLayer<armnn::OutputLayer>(0, "output");
+
+    graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
+
+    // Fp32ToFp16 conversion followed by an inverse Fp16ToFp32 conversion
+    graph.InsertNewLayer<armnn::ConvertFp32ToFp16Layer>(output->GetInputSlot(0), "convert1");
+    graph.InsertNewLayer<armnn::ConvertFp16ToFp32Layer>(output->GetInputSlot(0), "convert2");
+
+    graph.InsertNewLayer<armnn::Convolution2dLayer>(output->GetInputSlot(0), Convolution2dDescriptor(), "conv");
+
+    // Fp16ToFp32 conversion followed by an inverse Fp32ToFp16 conversion
+    graph.InsertNewLayer<armnn::ConvertFp16ToFp32Layer>(output->GetInputSlot(0), "convert3");
+    graph.InsertNewLayer<armnn::ConvertFp32ToFp16Layer>(output->GetInputSlot(0), "convert4");
+
+    BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
+                             &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>,
+                             &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>, &IsLayerOfType<armnn::Convolution2dLayer>,
+                             &IsLayerOfType<armnn::ConvertFp16ToFp32Layer>,
+                             &IsLayerOfType<armnn::ConvertFp32ToFp16Layer>, &IsLayerOfType<armnn::OutputLayer>));
+
+    armnn::Optimizer::Pass(
+        graph, armnn::MakeOptimizations(OptimizeInverseConversionsFp16(), OptimizeInverseConversionsFp32()));
+
+    // Check that all consecutive inverse conversions are removed
+    BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
+                             &IsLayerOfType<armnn::Convolution2dLayer>, &IsLayerOfType<armnn::OutputLayer>));
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+\ No newline at end of file