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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/armnnTfLiteParser/test/DetectionPostProcess.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/armnnTfLiteParser/test/DetectionPostProcess.cpp')
| -rw-r--r-- | src/armnnTfLiteParser/test/DetectionPostProcess.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/armnnTfLiteParser/test/DetectionPostProcess.cpp b/src/armnnTfLiteParser/test/DetectionPostProcess.cpp index 1ec87f97d5..f12b2b94d6 100644 --- a/src/armnnTfLiteParser/test/DetectionPostProcess.cpp +++ b/src/armnnTfLiteParser/test/DetectionPostProcess.cpp @@ -220,7 +220,7 @@ BOOST_FIXTURE_TEST_CASE( ParseDetectionPostProcess, ParseDetectionPostProcessCus { "num_detections", numDetections} }; - RunTest<armnn::DataType::QuantisedAsymm8, armnn::DataType::Float32>(0, input, output); + RunTest<armnn::DataType::QAsymmU8, armnn::DataType::Float32>(0, input, output); } BOOST_FIXTURE_TEST_CASE(DetectionPostProcessGraphStructureTest, ParseDetectionPostProcessCustomOptions) @@ -288,8 +288,8 @@ BOOST_FIXTURE_TEST_CASE(DetectionPostProcessGraphStructureTest, ParseDetectionPo BOOST_TEST(CheckNumberOfOutputSlot(numDetectionsLayer, 0)); // Check the connections - armnn::TensorInfo boxEncodingTensor(armnn::TensorShape({ 1, 6, 4 }), armnn::DataType::QuantisedAsymm8, 1, 1); - armnn::TensorInfo scoresTensor(armnn::TensorShape({ 1, 6, 3 }), armnn::DataType::QuantisedAsymm8, + armnn::TensorInfo boxEncodingTensor(armnn::TensorShape({ 1, 6, 4 }), armnn::DataType::QAsymmU8, 1, 1); + armnn::TensorInfo scoresTensor(armnn::TensorShape({ 1, 6, 3 }), armnn::DataType::QAsymmU8, 0.00999999978f, 0); armnn::TensorInfo detectionBoxesTensor(armnn::TensorShape({ 1, 3, 4 }), armnn::DataType::Float32, 0, 0); |