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| author | Derek Lamberti <derek.lamberti@arm.com> | 2020-01-10 17:14:08 +0000 |
|---|---|---|
| committer | Kevin May <kevin.may@arm.com> | 2020-01-13 18:18:12 +0000 |
| commit | f90c56d72de4848a2dc5844a97458aaf09df07c2 (patch) | |
| tree | 71f1c6f16a4687286614f5526ed70938a611b27d /src/armnn/test/OptimizerTests.cpp | |
| parent | 842e0dbd40114e19bf26916fefe06c869dbe416d (diff) | |
| download | armnn-f90c56d72de4848a2dc5844a97458aaf09df07c2.tar.gz | |
Rename quantized data types to remove ambiguity for signed/unsigned payloads
!android-nn-driver:2572
Change-Id: I8fe52ceb09987b3d05c539409510f535165455cc
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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); |