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| author | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2021-07-15 16:16:25 +0100 |
|---|---|---|
| committer | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2021-07-22 18:29:55 +0100 |
| commit | 8ed39ae450a077c7e4d672b5f05ff1d68ee67aab (patch) | |
| tree | 31a1cf006e50db54f3e7a605825c8e9e3f9d689e /src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp | |
| parent | 15fcc7ed3163c9d4b1856955271854198c3c2696 (diff) | |
| download | armnn-8ed39ae450a077c7e4d672b5f05ff1d68ee67aab.tar.gz | |
MLCE-530 Add front end support for UnidirectionalSequenceLstm on ArmNN
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I57bcbdec3eb0155f41af0fe7d6abf9bac2ec86eb
Diffstat (limited to 'src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp | 53 |
1 files changed, 53 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp index ddd6eacb6d..21b33d297b 100644 --- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp +++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp @@ -342,6 +342,56 @@ struct DummyLayer<armnn::LstmLayer> { }; +template <typename UnidirectionalSequenceLstmLayerType> +struct DummyUnidirectionalSequenceLstmLayer +{ + DummyUnidirectionalSequenceLstmLayer() + { + typename UnidirectionalSequenceLstmLayerType::DescriptorType desc; + desc.m_CifgEnabled = false; + + m_Layer = dummyGraph.AddLayer<UnidirectionalSequenceLstmLayerType>(desc, ""); + m_Layer->m_BasicParameters.m_InputToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_BasicParameters.m_InputToCellWeights = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_BasicParameters.m_InputToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_BasicParameters.m_RecurrentToForgetWeights = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_BasicParameters.m_RecurrentToCellWeights = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_BasicParameters.m_RecurrentToOutputWeights = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_BasicParameters.m_ForgetGateBias = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_BasicParameters.m_CellBias = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_BasicParameters.m_OutputGateBias = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + + m_Layer->m_CifgParameters.m_InputToInputWeights = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_CifgParameters.m_RecurrentToInputWeights = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + m_Layer->m_CifgParameters.m_InputGateBias = std::make_unique<armnn::ScopedTensorHandle>( + armnn::TensorInfo(armnn::TensorShape({1,1,1,1}), armnn::DataType::Float32)); + } + + ~DummyUnidirectionalSequenceLstmLayer() + { + dummyGraph.EraseLayer(m_Layer); + } + + armnn::UnidirectionalSequenceLstmLayer* m_Layer; +}; + +template<> +struct DummyLayer<armnn::UnidirectionalSequenceLstmLayer> + : public DummyUnidirectionalSequenceLstmLayer<armnn::UnidirectionalSequenceLstmLayer> +{ +}; + template<> struct DummyLayer<armnn::QLstmLayer> { @@ -651,6 +701,7 @@ DECLARE_LAYER_POLICY_2_PARAM(Pooling2d) DECLARE_LAYER_POLICY_2_PARAM(PreCompiled) DECLARE_LAYER_POLICY_1_PARAM(Prelu) + DECLARE_LAYER_POLICY_2_PARAM(QLstm) DECLARE_LAYER_POLICY_1_PARAM(QuantizedLstm) @@ -691,6 +742,8 @@ DECLARE_LAYER_POLICY_2_PARAM(Transpose) DECLARE_LAYER_POLICY_2_PARAM(TransposeConvolution2d) +DECLARE_LAYER_POLICY_2_PARAM(UnidirectionalSequenceLstm) + DECLARE_LAYER_POLICY_MAP_PARAM(Unmap, void) |