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Diffstat (limited to 'src/armnn/layers/FakeQuantizationLayer.cpp')
-rw-r--r-- | src/armnn/layers/FakeQuantizationLayer.cpp | 51 |
1 files changed, 51 insertions, 0 deletions
diff --git a/src/armnn/layers/FakeQuantizationLayer.cpp b/src/armnn/layers/FakeQuantizationLayer.cpp new file mode 100644 index 0000000000..24b53b2e37 --- /dev/null +++ b/src/armnn/layers/FakeQuantizationLayer.cpp @@ -0,0 +1,51 @@ +// +// 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 |