| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| #include "ConstantLayer.hpp" |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backends/CpuTensorHandle.hpp> |
| #include <backends/WorkloadData.hpp> |
| #include <backends/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| ConstantLayer::ConstantLayer(const char* name) |
| : Layer(0, 1, LayerType::Constant, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> ConstantLayer::CreateWorkload(const Graph& graph, |
| const IWorkloadFactory& factory) const |
| { |
| ConstantQueueDescriptor descriptor; |
| descriptor.m_LayerOutput = m_LayerOutput.get(); |
| return factory.CreateConstant(descriptor, PrepInfoAndDesc(descriptor, graph)); |
| } |
| |
| 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 ? std::make_unique<ScopedCpuTensorHandle>(*m_LayerOutput) : nullptr; |
| |
| return std::move(layer); |
| } |
| |
| std::vector<TensorShape> ConstantLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| { |
| return std::vector<TensorShape>({ m_LayerOutput->GetTensorInfo().GetShape() }); |
| } |
| |
| void ConstantLayer::ValidateTensorShapesFromInputs() |
| { |
| // Get the output shape from the value of the constant layer. |
| TensorShape const& outShape = m_LayerOutput->GetTensorInfo().GetShape(); |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| outShape); |
| } |
| |
| } // namespace armnn |