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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/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp | |
| 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/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp index 6924beb820..031210f1fc 100644 --- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp +++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp @@ -316,22 +316,22 @@ struct DummyLayer<armnn::QuantizedLstmLayer, void> m_Layer = dummyGraph.AddLayer<armnn::QuantizedLstmLayer>(""); m_Layer->m_QuantizedLstmParameters.m_InputToInputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>( - armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QuantisedAsymm8)); + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QAsymmU8)); m_Layer->m_QuantizedLstmParameters.m_InputToForgetWeights = std::make_unique<armnn::ScopedCpuTensorHandle>( - armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QuantisedAsymm8)); + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QAsymmU8)); m_Layer->m_QuantizedLstmParameters.m_InputToCellWeights = std::make_unique<armnn::ScopedCpuTensorHandle>( - armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QuantisedAsymm8)); + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QAsymmU8)); m_Layer->m_QuantizedLstmParameters.m_InputToOutputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>( - armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QuantisedAsymm8)); + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QAsymmU8)); m_Layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>( - armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QuantisedAsymm8)); + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QAsymmU8)); m_Layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = std::make_unique<armnn::ScopedCpuTensorHandle>( - armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QuantisedAsymm8)); + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QAsymmU8)); m_Layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = std::make_unique<armnn::ScopedCpuTensorHandle>( - armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QuantisedAsymm8)); + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QAsymmU8)); m_Layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = std::make_unique<armnn::ScopedCpuTensorHandle>( - armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QuantisedAsymm8)); + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::QAsymmU8)); m_Layer->m_QuantizedLstmParameters.m_InputGateBias = std::make_unique<armnn::ScopedCpuTensorHandle>( armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Signed32)); |