| // |
| // Copyright © 2020-2024 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "FillLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <armnn/backends/WorkloadData.hpp> |
| #include <armnn/backends/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| FillLayer::FillLayer(const FillDescriptor& param, const char* name) |
| : LayerWithParameters(1, 1, LayerType::Fill, param, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> FillLayer::CreateWorkload(const IWorkloadFactory& factory) const |
| { |
| FillQueueDescriptor descriptor; |
| SetAdditionalInfo(descriptor); |
| |
| return factory.CreateWorkload(LayerType::Fill, descriptor, PrepInfoAndDesc(descriptor) ); |
| } |
| |
| FillLayer* FillLayer::Clone(Graph& graph) const |
| { |
| return CloneBase<FillLayer>(graph, m_Param, GetName()); |
| } |
| |
| void FillLayer::ValidateTensorShapesFromInputs() |
| { |
| VerifyLayerConnections(1, CHECK_LOCATION()); |
| |
| const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); |
| |
| VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); |
| |
| auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() }); |
| |
| if (inferredShapes.size() != 1) |
| { |
| throw armnn::Exception("inferredShapes has " |
| + std::to_string(inferredShapes.size()) + |
| " elements - should only have 1."); |
| } |
| |
| // Cannot validate the output shape from the input shape. but we can validate that the correct dims have been |
| // inferred |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "FillLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetNumDimensions(), |
| inferredShapes[0][0]); |
| } |
| |
| void FillLayer::ExecuteStrategy(IStrategy& strategy) const |
| { |
| strategy.ExecuteStrategy(this, GetParameters(), {}, GetName()); |
| } |
| |
| } // namespace armnn |