diff options
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)); |