1 files changed, 98 insertions, 0 deletions
diff --git a/src/armnnUtils/test/ParserHelperTest.cpp b/src/armnnUtils/test/ParserHelperTest.cpp
new file mode 100644
index 0000000000..122ad7649e
--- /dev/null
+++ b/src/armnnUtils/test/ParserHelperTest.cpp
@@ -0,0 +1,98 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "../ParserHelper.hpp"
+
+#include <boost/test/unit_test.hpp>
+
+#include "armnn/Types.hpp"
+
+using namespace armnn;
+using namespace armnnUtils;
+
+BOOST_AUTO_TEST_SUITE(ParserHelperSuite)
+
+BOOST_AUTO_TEST_CASE(CalculateReducedOutputTensoInfoTest)
+{
+    bool keepDims = false;
+
+    unsigned int inputShape[] = { 2, 3, 4 };
+    TensorInfo inputTensorInfo(3, &inputShape[0], DataType::Float32);
+
+    // Reducing all dimensions results in one single output value (one dimension)
+    unsigned int axisShape1[] = { 3 };
+    std::set<unsigned int> axisData1 = { 0, 1, 2 };
+    TensorInfo axisTensorInfo1(1, &axisShape1[0], DataType::Signed32);
+
+    TensorInfo outputTensorInfo1;
+
+    CalculateReducedOutputTensoInfo(inputTensorInfo, axisTensorInfo1, axisData1,
+    keepDims, outputTensorInfo1);
+
+    BOOST_ASSERT(outputTensorInfo1.GetNumDimensions() == 1);
+    BOOST_ASSERT(outputTensorInfo1.GetShape()[0] == 1);
+
+    // Reducing dimension 0 results in a 3x4 size tensor (one dimension)
+    unsigned int axisShape2[] = { 1 };
+    std::set<unsigned int> axisData2 = { 0 };
+    TensorInfo axisTensorInfo2(1, &axisShape2[0], DataType::Signed32);
+
+    TensorInfo outputTensorInfo2;
+
+    CalculateReducedOutputTensoInfo(inputTensorInfo, axisTensorInfo2, axisData2,
+    keepDims, outputTensorInfo2);
+
+    BOOST_ASSERT(outputTensorInfo2.GetNumDimensions() == 1);
+    BOOST_ASSERT(outputTensorInfo2.GetShape()[0] == 12);
+
+    // Reducing dimensions 0,1 results in a 4 size tensor (one dimension)
+    unsigned int axisShape3[] = { 2 };
+    std::set<unsigned int> axisData3 = { 0, 1 };
+    TensorInfo axisTensorInfo3(1, &axisShape3[0], DataType::Signed32);
+
+    TensorInfo outputTensorInfo3;
+
+    CalculateReducedOutputTensoInfo(inputTensorInfo, axisTensorInfo3, axisData3,
+    keepDims, outputTensorInfo3);
+
+    BOOST_ASSERT(outputTensorInfo3.GetNumDimensions() == 1);
+    BOOST_ASSERT(outputTensorInfo3.GetShape()[0] == 4);
+
+    // Reducing dimension 0 results in a { 1, 3, 4 } dimension tensor
+    keepDims = true;
+    unsigned int axisShape4[] = { 1 };
+    std::set<unsigned int> axisData4 = { 0 };
+    TensorInfo axisTensorInfo4(1, &axisShape4[0], DataType::Signed32);
+
+    TensorInfo outputTensorInfo4;
+
+    CalculateReducedOutputTensoInfo(inputTensorInfo, axisTensorInfo4, axisData4,
+    keepDims, outputTensorInfo4);
+
+    BOOST_ASSERT(outputTensorInfo4.GetNumDimensions() == 3);
+    BOOST_ASSERT(outputTensorInfo4.GetShape()[0] == 1);
+    BOOST_ASSERT(outputTensorInfo4.GetShape()[1] == 3);
+    BOOST_ASSERT(outputTensorInfo4.GetShape()[2] == 4);
+
+    // Reducing dimension 1, 2 results in a { 2, 1, 1 } dimension tensor
+    keepDims = true;
+    unsigned int axisShape5[] = { 2 };
+    std::set<unsigned int> axisData5 = { 1, 2 };
+    TensorInfo axisTensorInfo5(1, &axisShape5[0], DataType::Signed32);
+
+    TensorInfo outputTensorInfo5;
+
+    CalculateReducedOutputTensoInfo(inputTensorInfo, axisTensorInfo5, axisData5,
+    keepDims, outputTensorInfo5);
+
+    BOOST_ASSERT(outputTensorInfo5.GetNumDimensions() == 3);
+    BOOST_ASSERT(outputTensorInfo5.GetShape()[0] == 2);
+    BOOST_ASSERT(outputTensorInfo5.GetShape()[1] == 1);
+    BOOST_ASSERT(outputTensorInfo5.GetShape()[2] == 1);
+
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+