| // |
| // Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "ConstantLayer.hpp" |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <armnn/backends/TensorHandle.hpp> |
| #include <armnn/backends/WorkloadData.hpp> |
| #include <armnn/backends/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| ConstantLayer::ConstantLayer(const char* name) |
| : Layer(0, 1, LayerType::Constant, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> ConstantLayer::CreateWorkload(const IWorkloadFactory& factory) const |
| { |
| ConstantQueueDescriptor descriptor; |
| descriptor.m_LayerOutput = m_LayerOutput.get(); |
| SetAdditionalInfo(descriptor); |
| |
| return factory.CreateWorkload(LayerType::Constant, descriptor, PrepInfoAndDesc(descriptor)); |
| } |
| |
| ConstantLayer* ConstantLayer::Clone(Graph& graph) const |
| { |
| // Cloned layers share the same layer output object. |
| auto layer = CloneBase<ConstantLayer>(graph, GetName()); |
| |
| layer->m_LayerOutput = m_LayerOutput ? m_LayerOutput : nullptr; |
| |
| return std::move(layer); |
| } |
| |
| std::vector<TensorShape> ConstantLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| { |
| return std::vector<TensorShape>({ inputShapes[0] }); |
| } |
| |
| void ConstantLayer::ValidateTensorShapesFromInputs() |
| { |
| |
| // Get the output shape from the value of the constant layer. |
| TensorShape const& outShape = m_LayerOutput->GetTensorInfo().GetShape(); |
| |
| ConditionalThrow<LayerValidationException>( |
| outShape.GetDimensionality() != Dimensionality::NotSpecified, |
| "Constant layer m_LayerOutput output shape can not be Dimensionality::NotSpecified"); |
| |
| ConditionalThrow<LayerValidationException>( |
| outShape.AreAllDimensionsSpecified(), |
| "Constant layer m_LayerOutput output shape can not have an unspecified dimension"); |
| |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| outShape); |
| } |
| |
| void ConstantLayer::ExecuteStrategy(IStrategy& strategy) const |
| { |
| ManagedConstTensorHandle managedLayerOutput(m_LayerOutput); |
| ConstTensor layerOutputTensor(managedLayerOutput.GetTensorInfo(), managedLayerOutput.Map()); |
| strategy.ExecuteStrategy(this, BaseDescriptor(), { layerOutputTensor }, GetName()); |
| } |
| |
| void ConstantLayer::SerializeLayerParameters(ParameterStringifyFunction& fn) const |
| { |
| fn("DataType",GetDataTypeName(m_LayerOutput->GetTensorInfo().GetDataType())); |
| Layer::SerializeLayerParameters(fn); |
| } |
| |
| } // namespace armnn |