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author | Francis Murtagh <francis.murtagh@arm.com> | 2021-10-28 11:11:35 +0100 |
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committer | Francis Murtagh <francis.murtagh@arm.com> | 2021-10-28 10:36:25 +0000 |
commit | 40d2741b459fb7d55ff034d615678848a8e0af7c (patch) | |
tree | e0d89fcf02a2a6c2a0a6b8121105c1371cf57193 /src/armnn | |
parent | 040719d09b696dcb979b4dcadfc32181cb84301a (diff) | |
download | armnn-40d2741b459fb7d55ff034d615678848a8e0af7c.tar.gz |
IVGCVSW-6513: Compilation failure in armnn-mobilenet-quant in ML-Examples
* Move TContainer to armnnUtils library
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I3c0f895d11b66f6ee224ac689a19d0477f990b98
Diffstat (limited to 'src/armnn')
-rw-r--r-- | src/armnn/test/ModelAccuracyCheckerTest.cpp | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/src/armnn/test/ModelAccuracyCheckerTest.cpp b/src/armnn/test/ModelAccuracyCheckerTest.cpp index 47ae3f4b0a..59711a5397 100644 --- a/src/armnn/test/ModelAccuracyCheckerTest.cpp +++ b/src/armnn/test/ModelAccuracyCheckerTest.cpp @@ -3,7 +3,7 @@ // SPDX-License-Identifier: MIT // #include "ModelAccuracyChecker.hpp" -#include <armnn/Utils.hpp> +#include <armnnUtils/TContainer.hpp> #include <doctest/doctest.h> @@ -60,12 +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}; - armnn::TContainer inference1Container(inferenceOutputVector1); - std::vector<armnn::TContainer> outputTensor1; + armnnUtils::TContainer inference1Container(inferenceOutputVector1); + std::vector<armnnUtils::TContainer> outputTensor1; outputTensor1.push_back(inference1Container); std::string imageName = "val_01.JPEG"; - checker.AddImageResult<armnn::TContainer>(imageName, outputTensor1); + checker.AddImageResult<armnnUtils::TContainer>(imageName, outputTensor1); // Top 1 Accuracy float totalAccuracy = checker.GetAccuracy(1); @@ -73,12 +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}; - armnn::TContainer inference2Container(inferenceOutputVector2); - std::vector<armnn::TContainer> outputTensor2; + armnnUtils::TContainer inference2Container(inferenceOutputVector2); + std::vector<armnnUtils::TContainer> outputTensor2; outputTensor2.push_back(inference2Container); imageName = "val_02.JPEG"; - checker.AddImageResult<armnn::TContainer>(imageName, outputTensor2); + checker.AddImageResult<armnnUtils::TContainer>(imageName, outputTensor2); // Top 1 Accuracy totalAccuracy = checker.GetAccuracy(1); @@ -90,12 +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}; - armnn::TContainer inference3Container(inferenceOutputVector3); - std::vector<armnn::TContainer> outputTensor3; + armnnUtils::TContainer inference3Container(inferenceOutputVector3); + std::vector<armnnUtils::TContainer> outputTensor3; outputTensor3.push_back(inference3Container); imageName = "val_03.JPEG"; - checker.AddImageResult<armnn::TContainer>(imageName, outputTensor3); + checker.AddImageResult<armnnUtils::TContainer>(imageName, outputTensor3); // Top 1 Accuracy totalAccuracy = checker.GetAccuracy(1); |