| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| #include "FakeQuantizationLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backends/WorkloadData.hpp> |
| #include <backends/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| FakeQuantizationLayer::FakeQuantizationLayer(const FakeQuantizationDescriptor& param, const char* name) |
| : LayerWithParameters(1, 1, LayerType::FakeQuantization, param, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> FakeQuantizationLayer::CreateWorkload(const Graph& graph, |
| const IWorkloadFactory& factory) const |
| { |
| FakeQuantizationQueueDescriptor descriptor; |
| return factory.CreateFakeQuantization(descriptor, PrepInfoAndDesc(descriptor, graph) ); |
| } |
| |
| FakeQuantizationLayer* FakeQuantizationLayer::Clone(Graph& graph) const |
| { |
| return CloneBase<FakeQuantizationLayer>(graph, m_Param, GetName()); |
| } |
| |
| void FakeQuantizationLayer::ValidateTensorShapesFromInputs() |
| { |
| ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr, |
| "FakeQuantizationLayer: InputSlot must be connected to an OutputSlot"); |
| ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(), |
| "FakeQuantizationLayer: TensorInfo must be set on connected OutputSlot."); |
| |
| |
| IOutputSlot* input = GetInputSlot(0).GetConnection(); |
| |
| // input and output shapes are the same |
| TensorShape const& outShape = input->GetTensorInfo().GetShape(); |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "FakeQuantizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| outShape); |
| } |
| |
| } // namespace armnn |