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