From b63a31170aee1d28267d83a4bc67b57708fb6b05 Mon Sep 17 00:00:00 2001
From: Matthew Sloyan <matthew.sloyan@arm.com>
Date: Wed, 8 Sep 2021 13:05:51 +0100
Subject: IVGCVSW-6163 Add Conv3d FrontEnd and Ref Implementation

 * Added front-end
 * Added Reference workload
 * Added Serializer & Deserializer support
 * Added unit tests
 * Added NDHWC DataLayout

Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Iec4d39e7433b5334d52fa44cf8efc6bcd39319d8
---
 src/armnn/layers/Convolution3dLayer.hpp | 68 +++++++++++++++++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 src/armnn/layers/Convolution3dLayer.hpp

(limited to 'src/armnn/layers/Convolution3dLayer.hpp')

diff --git a/src/armnn/layers/Convolution3dLayer.hpp b/src/armnn/layers/Convolution3dLayer.hpp
new file mode 100644
index 0000000000..bef5715098
--- /dev/null
+++ b/src/armnn/layers/Convolution3dLayer.hpp
@@ -0,0 +1,68 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+class ScopedTensorHandle;
+
+/// This layer represents a convolution 3d operation.
+class Convolution3dLayer : public LayerWithParameters<Convolution3dDescriptor>
+{
+public:
+
+    /// A unique pointer to store Weight values.
+    std::shared_ptr<ConstTensorHandle> m_Weight;
+    /// A unique pointer to store Bias values.
+    std::shared_ptr<ConstTensorHandle> m_Bias;
+
+    /// Makes a workload for the Convolution3d 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 IWorkloadFactory& factory) const override;
+
+    /// Creates a dynamically-allocated copy of this layer.
+    /// @param [in] graph The graph into which this layer is being cloned.
+    Convolution3dLayer* Clone(Graph& graph) const override;
+
+    /// Check if the input tensor shape(s)
+    /// will lead to a valid configuration of @ref Convolution3dLayer.
+    /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
+    void ValidateTensorShapesFromInputs() override;
+
+    /// By default returns inputShapes if the number of inputs are equal to number of outputs,
+    /// otherwise infers the output shapes from given input shapes and layer properties.
+    /// @param [in] inputShapes The input shapes layer has.
+    /// @return A vector to the inferred output shape.
+    std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
+
+    ARMNN_NO_DEPRECATE_WARN_BEGIN
+    void Accept(ILayerVisitor& visitor) const override;
+    ARMNN_NO_DEPRECATE_WARN_END
+
+    void ExecuteStrategy(IStrategy& strategy) const override;
+
+    void SerializeLayerParameters(ParameterStringifyFunction& fn) const override;
+
+protected:
+    /// Constructor to create a Convolution3dLayer.
+    /// @param [in] param Convolution3dDescriptor to configure the convolution3d operation.
+    /// @param [in] name Optional name for the layer.
+    Convolution3dLayer(const Convolution3dDescriptor& param, const char* name);
+
+    /// Default destructor
+    ~Convolution3dLayer() = 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
-- 
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