diff options
Diffstat (limited to 'src/armnn/test/OptimizerTests.cpp')
| -rw-r--r-- | src/armnn/test/OptimizerTests.cpp | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/src/armnn/test/OptimizerTests.cpp b/src/armnn/test/OptimizerTests.cpp index ba18aa31e8..e310d4f140 100644 --- a/src/armnn/test/OptimizerTests.cpp +++ b/src/armnn/test/OptimizerTests.cpp @@ -496,15 +496,15 @@ BOOST_AUTO_TEST_CASE(GatherValidateTensorShapesFromInputsMultiDimIndices) BOOST_AUTO_TEST_CASE(DetectionPostProcessValidateTensorShapes) { Graph graph; - armnn::TensorInfo boxEncodingsInfo({1, 10, 4}, DataType::QuantisedAsymm8); - armnn::TensorInfo scoresInfo({1, 10, 4}, DataType::QuantisedAsymm8); + armnn::TensorInfo boxEncodingsInfo({1, 10, 4}, DataType::QAsymmU8); + armnn::TensorInfo scoresInfo({1, 10, 4}, DataType::QAsymmU8); std::vector<uint8_t> anchorsVector(40); - armnn::ConstTensor anchors(armnn::TensorInfo({10, 4}, armnn::DataType::QuantisedAsymm8), anchorsVector); + armnn::ConstTensor anchors(armnn::TensorInfo({10, 4}, armnn::DataType::QAsymmU8), anchorsVector); - armnn::TensorInfo detectionBoxesInfo({1, 3, 4}, DataType::QuantisedAsymm8); - armnn::TensorInfo detectionScoresInfo({1, 3}, DataType::QuantisedAsymm8); - armnn::TensorInfo detectionClassesInfo({1, 3}, DataType::QuantisedAsymm8); - armnn::TensorInfo numDetectionInfo({1}, DataType::QuantisedAsymm8); + armnn::TensorInfo detectionBoxesInfo({1, 3, 4}, DataType::QAsymmU8); + armnn::TensorInfo detectionScoresInfo({1, 3}, DataType::QAsymmU8); + armnn::TensorInfo detectionClassesInfo({1, 3}, DataType::QAsymmU8); + armnn::TensorInfo numDetectionInfo({1}, DataType::QAsymmU8); Layer* input0 = graph.AddLayer<InputLayer>(0, "boxEncodings"); input0->GetOutputSlot().SetTensorInfo(boxEncodingsInfo); |