IVGCVSW-5963 'Move unit tests to new framework'

* Used doctest in ArmNN unit tests

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ia9cf5fc72775878885c5f864abf2c56b3a935f1a

1 files changed, 19 insertions, 19 deletions

diff --git a/src/armnnUtils/test/ParserHelperTest.cpp b/src/armnnUtils/test/ParserHelperTest.cpp
index dbf0673bf5..2ed9bd1f03 100644
--- a/src/armnnUtils/test/ParserHelperTest.cpp
+++ b/src/armnnUtils/test/ParserHelperTest.cpp
@@ -8,15 +8,15 @@
 #include <armnn/Tensor.hpp>
 #include <armnn/Types.hpp>
 
-#include <boost/test/unit_test.hpp>
+#include <doctest/doctest.h>
 
 
 using namespace armnn;
 using namespace armnnUtils;
 
-BOOST_AUTO_TEST_SUITE(ParserHelperSuite)
-
-BOOST_AUTO_TEST_CASE(CalculateReducedOutputTensoInfoTest)
+TEST_SUITE("ParserHelperSuite")
+{
+TEST_CASE("CalculateReducedOutputTensoInfoTest")
 {
     bool keepDims = false;
 
@@ -29,8 +29,8 @@ BOOST_AUTO_TEST_CASE(CalculateReducedOutputTensoInfoTest)
 
     CalculateReducedOutputTensoInfo(inputTensorInfo, axisData1, keepDims, outputTensorInfo1);
 
-    BOOST_TEST(outputTensorInfo1.GetNumDimensions() == 1);
-    BOOST_TEST(outputTensorInfo1.GetShape()[0] == 1);
+    CHECK(outputTensorInfo1.GetNumDimensions() == 1);
+    CHECK(outputTensorInfo1.GetShape()[0] == 1);
 
     // Reducing dimension 0 results in a 3x4 size tensor (one dimension)
     std::set<unsigned int> axisData2 = { 0 };
@@ -38,8 +38,8 @@ BOOST_AUTO_TEST_CASE(CalculateReducedOutputTensoInfoTest)
 
     CalculateReducedOutputTensoInfo(inputTensorInfo, axisData2, keepDims, outputTensorInfo2);
 
-    BOOST_TEST(outputTensorInfo2.GetNumDimensions() == 1);
-    BOOST_TEST(outputTensorInfo2.GetShape()[0] == 12);
+    CHECK(outputTensorInfo2.GetNumDimensions() == 1);
+    CHECK(outputTensorInfo2.GetShape()[0] == 12);
 
     // Reducing dimensions 0,1 results in a 4 size tensor (one dimension)
     std::set<unsigned int> axisData3 = { 0, 1 };
@@ -47,8 +47,8 @@ BOOST_AUTO_TEST_CASE(CalculateReducedOutputTensoInfoTest)
 
     CalculateReducedOutputTensoInfo(inputTensorInfo, axisData3, keepDims, outputTensorInfo3);
 
-    BOOST_TEST(outputTensorInfo3.GetNumDimensions() == 1);
-    BOOST_TEST(outputTensorInfo3.GetShape()[0] == 4);
+    CHECK(outputTensorInfo3.GetNumDimensions() == 1);
+    CHECK(outputTensorInfo3.GetShape()[0] == 4);
 
     // Reducing dimension 0 results in a { 1, 3, 4 } dimension tensor
     keepDims = true;
@@ -58,10 +58,10 @@ BOOST_AUTO_TEST_CASE(CalculateReducedOutputTensoInfoTest)
 
     CalculateReducedOutputTensoInfo(inputTensorInfo, axisData4, keepDims, outputTensorInfo4);
 
-    BOOST_TEST(outputTensorInfo4.GetNumDimensions() == 3);
-    BOOST_TEST(outputTensorInfo4.GetShape()[0] == 1);
-    BOOST_TEST(outputTensorInfo4.GetShape()[1] == 3);
-    BOOST_TEST(outputTensorInfo4.GetShape()[2] == 4);
+    CHECK(outputTensorInfo4.GetNumDimensions() == 3);
+    CHECK(outputTensorInfo4.GetShape()[0] == 1);
+    CHECK(outputTensorInfo4.GetShape()[1] == 3);
+    CHECK(outputTensorInfo4.GetShape()[2] == 4);
 
     // Reducing dimension 1, 2 results in a { 2, 1, 1 } dimension tensor
     keepDims = true;
@@ -71,12 +71,12 @@ BOOST_AUTO_TEST_CASE(CalculateReducedOutputTensoInfoTest)
 
     CalculateReducedOutputTensoInfo(inputTensorInfo, axisData5,  keepDims, outputTensorInfo5);
 
-    BOOST_TEST(outputTensorInfo5.GetNumDimensions() == 3);
-    BOOST_TEST(outputTensorInfo5.GetShape()[0] == 2);
-    BOOST_TEST(outputTensorInfo5.GetShape()[1] == 1);
-    BOOST_TEST(outputTensorInfo5.GetShape()[2] == 1);
+    CHECK(outputTensorInfo5.GetNumDimensions() == 3);
+    CHECK(outputTensorInfo5.GetShape()[0] == 2);
+    CHECK(outputTensorInfo5.GetShape()[1] == 1);
+    CHECK(outputTensorInfo5.GetShape()[2] == 1);
 
 }
 
-BOOST_AUTO_TEST_SUITE_END()
+}