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-rw-r--r--src/armnn/test/optimizations/SquashEqualSiblingsTests.cpp74
1 files changed, 74 insertions, 0 deletions
diff --git a/src/armnn/test/optimizations/SquashEqualSiblingsTests.cpp b/src/armnn/test/optimizations/SquashEqualSiblingsTests.cpp
new file mode 100644
index 0000000000..3fa49ecac7
--- /dev/null
+++ b/src/armnn/test/optimizations/SquashEqualSiblingsTests.cpp
@@ -0,0 +1,74 @@
+//
+// 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(SquashEqualSiblingsTest)
+{
+ armnn::Graph graph;
+
+ armnn::LayerBindingId outputId = 0;
+
+ const armnn::TensorInfo info({ 1, 2, 3, 5 }, armnn::DataType::Float32);
+ const armnn::TensorInfo permuted({ 1, 5, 2, 3 }, armnn::DataType::Float32);
+
+ auto input = graph.AddLayer<armnn::InputLayer>(0, "input");
+ input->GetOutputSlot().SetTensorInfo(info);
+
+ // Inserts equal permutes, equal reshapes and something else.
+ const armnn::PermuteDescriptor permDesc({ 0, 2, 3, 1 });
+ const armnn::ReshapeDescriptor reshapeDesc{ { 1, 3, 1, 5 } };
+
+ armnn::Layer* layer;
+
+ layer = graph.AddLayer<armnn::PermuteLayer>(permDesc, "");
+ layer->GetOutputSlot().SetTensorInfo(permuted);
+ layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
+ input->GetOutputSlot().Connect(layer->GetInputSlot(0));
+
+ layer = graph.AddLayer<armnn::ReshapeLayer>(reshapeDesc, "");
+ layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
+ input->GetOutputSlot().Connect(layer->GetInputSlot(0));
+
+ layer = graph.AddLayer<armnn::FloorLayer>("");
+ layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
+ input->GetOutputSlot().Connect(layer->GetInputSlot(0));
+
+ layer = graph.AddLayer<armnn::ReshapeLayer>(reshapeDesc, "");
+ layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
+ input->GetOutputSlot().Connect(layer->GetInputSlot(0));
+
+ layer = graph.AddLayer<armnn::PermuteLayer>(permDesc, "");
+ layer->GetOutputSlot().SetTensorInfo(permuted);
+ layer->GetOutputSlot().Connect(graph.AddLayer<armnn::OutputLayer>(outputId++, "")->GetInputSlot(0));
+ input->GetOutputSlot().Connect(layer->GetInputSlot(0));
+
+ BOOST_TEST(CheckSequence(
+ graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::PermuteLayer>,
+ &IsLayerOfType<armnn::ReshapeLayer>, &IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::ReshapeLayer>,
+ &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>,
+ &IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>));
+
+ armnn::Optimizer::Pass(graph, armnn::MakeOptimizations(SquashEqualPermuteSiblings(), SquashEqualReshapeSiblings()));
+
+ // The permutes and reshapes are squashed.
+
+ BOOST_TEST(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
+ &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::ReshapeLayer>,
+ &IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::OutputLayer>,
+ &IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>,
+ &IsLayerOfType<armnn::OutputLayer>, &IsLayerOfType<armnn::OutputLayer>));
+}
+
+BOOST_AUTO_TEST_SUITE_END() \ No newline at end of file