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Diffstat (limited to 'src/armnn/layers/ConstantLayer.cpp')
-rw-r--r-- | src/armnn/layers/ConstantLayer.cpp | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/src/armnn/layers/ConstantLayer.cpp b/src/armnn/layers/ConstantLayer.cpp new file mode 100644 index 0000000000..937d38a31d --- /dev/null +++ b/src/armnn/layers/ConstantLayer.cpp @@ -0,0 +1,46 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#include "ConstantLayer.hpp" +#include "LayerCloneBase.hpp" + +#include <armnn/TypesUtils.hpp> +#include <backends/CpuTensorHandle.hpp> +#include <backends/WorkloadData.hpp> +#include <backends/WorkloadFactory.hpp> + +namespace armnn +{ + +ConstantLayer::ConstantLayer(const std::shared_ptr<ScopedCpuTensorHandle>& input, const char* name) + : Layer(0, 1, LayerType::Constant, name) + , m_LayerOutput(input) +{ +} + +std::unique_ptr<IWorkload> ConstantLayer::CreateWorkload(const Graph& graph, + const IWorkloadFactory& factory) const +{ + ConstantQueueDescriptor descriptor; + descriptor.m_LayerOutput = m_LayerOutput.get(); + return factory.CreateConstant(descriptor, PrepInfoAndDesc(descriptor, graph)); +} + +ConstantLayer* ConstantLayer::Clone(Graph& graph) const +{ + // Cloned layers share the same layer output object + return CloneBase<ConstantLayer>(graph, m_LayerOutput, GetName()); +} + +void ConstantLayer::ValidateTensorShapesFromInputs() +{ + // get the output shape from the value of the constant layer + TensorShape const& outShape = m_LayerOutput->GetTensorInfo().GetShape(); + ConditionalThrowIfNotEqual<LayerValidationException>( + "ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", + GetOutputSlot(0).GetTensorInfo().GetShape(), + outShape); +} + +} // namespace armnn |