| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| #include "ConvertFp32ToFp16Layer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backends/WorkloadData.hpp> |
| #include <backends/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| ConvertFp32ToFp16Layer::ConvertFp32ToFp16Layer(const char* name) |
| : Layer(1, 1, LayerType::ConvertFp32ToFp16, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> ConvertFp32ToFp16Layer::CreateWorkload(const Graph& graph, |
| const IWorkloadFactory& factory) const |
| { |
| ConvertFp32ToFp16QueueDescriptor descriptor; |
| return factory.CreateConvertFp32ToFp16(descriptor, PrepInfoAndDesc(descriptor, graph)); |
| } |
| |
| ConvertFp32ToFp16Layer* ConvertFp32ToFp16Layer::Clone(Graph& graph) const |
| { |
| return CloneBase<ConvertFp32ToFp16Layer>(graph, GetName()); |
| } |
| |
| void ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs() |
| { |
| VerifyLayerConnections(1, CHECK_LOCATION()); |
| |
| auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); |
| |
| BOOST_ASSERT(inferredShapes.size() == 1); |
| |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "ConvertFp32ToFp16Layer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| inferredShapes[0]); |
| } |
| |
| } // namespace armnn |