diff options
Diffstat (limited to 'src/armnn/test')
-rw-r--r-- | src/armnn/test/ModelAccuracyCheckerTest.cpp | 21 |
1 files changed, 10 insertions, 11 deletions
diff --git a/src/armnn/test/ModelAccuracyCheckerTest.cpp b/src/armnn/test/ModelAccuracyCheckerTest.cpp index 47f112ee72..47ae3f4b0a 100644 --- a/src/armnn/test/ModelAccuracyCheckerTest.cpp +++ b/src/armnn/test/ModelAccuracyCheckerTest.cpp @@ -3,6 +3,7 @@ // SPDX-License-Identifier: MIT // #include "ModelAccuracyChecker.hpp" +#include <armnn/Utils.hpp> #include <doctest/doctest.h> @@ -52,8 +53,6 @@ struct TestHelper TEST_SUITE("ModelAccuracyCheckerTest") { -using TContainer = - mapbox::util::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>, std::vector<int8_t>>; TEST_CASE_FIXTURE(TestHelper, "TestFloat32OutputTensorAccuracy") { @@ -61,12 +60,12 @@ TEST_CASE_FIXTURE(TestHelper, "TestFloat32OutputTensorAccuracy") // Add image 1 and check accuracy std::vector<float> inferenceOutputVector1 = {0.05f, 0.10f, 0.70f, 0.15f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}; - TContainer inference1Container(inferenceOutputVector1); - std::vector<TContainer> outputTensor1; + armnn::TContainer inference1Container(inferenceOutputVector1); + std::vector<armnn::TContainer> outputTensor1; outputTensor1.push_back(inference1Container); std::string imageName = "val_01.JPEG"; - checker.AddImageResult<TContainer>(imageName, outputTensor1); + checker.AddImageResult<armnn::TContainer>(imageName, outputTensor1); // Top 1 Accuracy float totalAccuracy = checker.GetAccuracy(1); @@ -74,12 +73,12 @@ TEST_CASE_FIXTURE(TestHelper, "TestFloat32OutputTensorAccuracy") // Add image 2 and check accuracy std::vector<float> inferenceOutputVector2 = {0.10f, 0.0f, 0.0f, 0.0f, 0.05f, 0.70f, 0.0f, 0.0f, 0.0f, 0.15f}; - TContainer inference2Container(inferenceOutputVector2); - std::vector<TContainer> outputTensor2; + armnn::TContainer inference2Container(inferenceOutputVector2); + std::vector<armnn::TContainer> outputTensor2; outputTensor2.push_back(inference2Container); imageName = "val_02.JPEG"; - checker.AddImageResult<TContainer>(imageName, outputTensor2); + checker.AddImageResult<armnn::TContainer>(imageName, outputTensor2); // Top 1 Accuracy totalAccuracy = checker.GetAccuracy(1); @@ -91,12 +90,12 @@ TEST_CASE_FIXTURE(TestHelper, "TestFloat32OutputTensorAccuracy") // Add image 3 and check accuracy std::vector<float> inferenceOutputVector3 = {0.0f, 0.10f, 0.0f, 0.0f, 0.05f, 0.70f, 0.0f, 0.0f, 0.0f, 0.15f}; - TContainer inference3Container(inferenceOutputVector3); - std::vector<TContainer> outputTensor3; + armnn::TContainer inference3Container(inferenceOutputVector3); + std::vector<armnn::TContainer> outputTensor3; outputTensor3.push_back(inference3Container); imageName = "val_03.JPEG"; - checker.AddImageResult<TContainer>(imageName, outputTensor3); + checker.AddImageResult<armnn::TContainer>(imageName, outputTensor3); // Top 1 Accuracy totalAccuracy = checker.GetAccuracy(1); |