| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| #include "ResizeBilinearLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backends/WorkloadData.hpp> |
| #include <backends/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| ResizeBilinearLayer::ResizeBilinearLayer(const ResizeBilinearDescriptor& param, const char* name) |
| : LayerWithParameters(1, 1, LayerType::ResizeBilinear, param, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> ResizeBilinearLayer::CreateWorkload(const Graph& graph, |
| const IWorkloadFactory& factory) const |
| { |
| ResizeBilinearQueueDescriptor descriptor; |
| return factory.CreateResizeBilinear(descriptor, PrepInfoAndDesc(descriptor, graph)); |
| } |
| |
| ResizeBilinearLayer* ResizeBilinearLayer::Clone(Graph& graph) const |
| { |
| return CloneBase<ResizeBilinearLayer>(graph, m_Param, GetName()); |
| } |
| |
| std::vector<TensorShape> ResizeBilinearLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| { |
| BOOST_ASSERT(inputShapes.size() == 1); |
| const TensorShape& inputShape = inputShapes[0]; |
| |
| unsigned int outWidth = m_Param.m_TargetWidth; |
| unsigned int outHeight = m_Param.m_TargetHeight; |
| unsigned int outChannels = inputShape[1]; |
| unsigned int outBatch = inputShape[0]; |
| |
| return std::vector<TensorShape>({ TensorShape({outBatch, outChannels, outHeight, outWidth}) }); |
| } |
| |
| void ResizeBilinearLayer::ValidateTensorShapesFromInputs() |
| { |
| VerifyLayerConnections(1, CHECK_LOCATION()); |
| |
| auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); |
| |
| BOOST_ASSERT(inferredShapes.size() == 1); |
| |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "ResizeBilinearLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| inferredShapes[0]); |
| } |
| |
| } // namespace armnn |