aboutsummaryrefslogtreecommitdiff
path: root/src/armnn/layers/TransposeConvolution2dLayer.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/armnn/layers/TransposeConvolution2dLayer.hpp')
-rw-r--r--src/armnn/layers/TransposeConvolution2dLayer.hpp59
1 files changed, 59 insertions, 0 deletions
diff --git a/src/armnn/layers/TransposeConvolution2dLayer.hpp b/src/armnn/layers/TransposeConvolution2dLayer.hpp
new file mode 100644
index 0000000000..4dc4644a3c
--- /dev/null
+++ b/src/armnn/layers/TransposeConvolution2dLayer.hpp
@@ -0,0 +1,59 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+class ScopedCpuTensorHandle;
+
+/// This layer represents a 2D transpose convolution operation.
+class TransposeConvolution2dLayer : public LayerWithParameters<TransposeConvolution2dDescriptor>
+{
+public:
+ /// A unique pointer to store weight values.
+ std::unique_ptr<ScopedCpuTensorHandle> m_Weight;
+ /// A unique pointer to store bias values.
+ std::unique_ptr<ScopedCpuTensorHandle> m_Bias;
+
+ /// Makes a workload for the TransposeConvolution2d type.
+ /// @param [in] graph The graph where this layer can be found.
+ /// @param [in] factory The workload factory which will create the workload.
+ /// @return A pointer to the created workload, or nullptr if not created.
+ virtual std::unique_ptr<IWorkload> CreateWorkload(const Graph& graph,
+ const IWorkloadFactory& factory) const override;
+
+ /// Creates a dynamically-allocated copy of this layer.
+ /// @param [in] graph The graph into which this layer is being cloned.
+ TransposeConvolution2dLayer* Clone(Graph& graph) const override;
+
+ /// Check if the input tensor shape(s)
+ /// will lead to a valid configuration of @ref TransposeConvolution2dLayer.
+ void ValidateTensorShapesFromInputs() override;
+
+ /// Infers the output shapes from given input shapes and layer properties.
+ /// @param [in] inputShapes The input shapes the layer has.
+ /// @return A vector of the inferred output shape.
+ std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
+
+ void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+ /// Constructor to create a TransposeConvolution2dLayer.
+ /// @param [in] param TransposeConvolution2dDescriptor to configure the 2D transpose convolution operation.
+ /// @param [in] name Optional name for the layer.
+ TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& param, const char* name);
+
+ /// Default destructor
+ ~TransposeConvolution2dLayer() = default;
+
+ /// Retrieve the handles to the constant values stored by the layer.
+ /// @return A vector of the constant tensors stored by this layer.
+ ConstantTensors GetConstantTensorsByRef() override;
+};
+
+} // namespace armnn