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-rw-r--r--src/armnn/test/InferOutputTests.hpp86
1 files changed, 86 insertions, 0 deletions
diff --git a/src/armnn/test/InferOutputTests.hpp b/src/armnn/test/InferOutputTests.hpp
index c428a9db61..feb2125656 100644
--- a/src/armnn/test/InferOutputTests.hpp
+++ b/src/armnn/test/InferOutputTests.hpp
@@ -10,6 +10,7 @@
#include <armnn/ArmNN.hpp>
#include <Graph.hpp>
+#include <layers/ArgMinMaxLayer.hpp>
#include <layers/BatchToSpaceNdLayer.hpp>
#include <layers/SpaceToDepthLayer.hpp>
#include <layers/PreluLayer.hpp>
@@ -18,6 +19,91 @@
#include <boost/algorithm/string.hpp>
#include <boost/test/unit_test.hpp>
+void ArgMinMaxInferOutputShapeImpl(const armnn::ArgMinMaxDescriptor descriptor,
+ const std::vector<armnn::TensorShape>& inputShapes,
+ std::vector<armnn::TensorShape>& outputShapes)
+{
+ armnn::Graph graph;
+ auto argMinMaxLayer = graph.AddLayer<armnn::ArgMinMaxLayer>(descriptor, "argMinMax");
+ outputShapes = argMinMaxLayer->InferOutputShapes(inputShapes);
+}
+
+void ArgMinMaxInferOutputShape4dTest()
+{
+ armnn::Graph graph;
+ armnn::ArgMinMaxDescriptor descriptor;
+ descriptor.m_Axis = 2;
+
+ const std::vector<armnn::TensorShape> inputShapes
+ {
+ { 1, 3, 2, 4 }
+ };
+
+ std::vector<armnn::TensorShape> outputShapes;
+ BOOST_CHECK_NO_THROW(ArgMinMaxInferOutputShapeImpl(descriptor, inputShapes, outputShapes));
+
+ armnn::TensorShape expectedOutputShape( { 1, 3, 4 } );
+ BOOST_CHECK(outputShapes.size() == 1);
+ BOOST_CHECK(outputShapes[0] == expectedOutputShape);
+}
+
+void ArgMinMaxInferOutputShape3dTest()
+{
+ armnn::Graph graph;
+ armnn::ArgMinMaxDescriptor descriptor;
+ descriptor.m_Axis = 0;
+
+ const std::vector<armnn::TensorShape> inputShapes
+ {
+ { 1, 3, 2 }
+ };
+
+ std::vector<armnn::TensorShape> outputShapes;
+ BOOST_CHECK_NO_THROW(ArgMinMaxInferOutputShapeImpl(descriptor, inputShapes, outputShapes));
+
+ armnn::TensorShape expectedOutputShape( { 3, 2 } );
+ BOOST_CHECK(outputShapes.size() == 1);
+ BOOST_CHECK(outputShapes[0] == expectedOutputShape);
+}
+
+void ArgMinMaxInferOutputShape2dTest()
+{
+ armnn::Graph graph;
+ armnn::ArgMinMaxDescriptor descriptor;
+ descriptor.m_Axis = 1;
+
+ const std::vector<armnn::TensorShape> inputShapes
+ {
+ { 3, 2 }
+ };
+
+ std::vector<armnn::TensorShape> outputShapes;
+ BOOST_CHECK_NO_THROW(ArgMinMaxInferOutputShapeImpl(descriptor, inputShapes, outputShapes));
+
+ armnn::TensorShape expectedOutputShape( { 3 } );
+ BOOST_CHECK(outputShapes.size() == 1);
+ BOOST_CHECK(outputShapes[0] == expectedOutputShape);
+}
+
+void ArgMinMaxInferOutputShape1dTest()
+{
+ armnn::Graph graph;
+ armnn::ArgMinMaxDescriptor descriptor;
+ descriptor.m_Axis = 0;
+
+ const std::vector<armnn::TensorShape> inputShapes
+ {
+ { 5 }
+ };
+
+ std::vector<armnn::TensorShape> outputShapes;
+ BOOST_CHECK_NO_THROW(ArgMinMaxInferOutputShapeImpl(descriptor, inputShapes, outputShapes));
+
+ armnn::TensorShape expectedOutputShape( { 1 } );
+ BOOST_CHECK(outputShapes.size() == 1);
+ BOOST_CHECK(outputShapes[0] == expectedOutputShape);
+}
+
void BatchToSpaceInferOutputShapeTest()
{
armnn::Graph graph;