From c9ea45adefdde2890e9aa191a5b31563a3dd35ea Mon Sep 17 00:00:00 2001
From: Mike Kelly <mike.kelly@arm.com>
Date: Fri, 28 Feb 2020 18:11:58 +0000
Subject: IVGCVSW-4375 Add support for Transpose

 * Added TransposeLayer
 * Added CL, Neon and Ref Workloads
 * Added Transpose utilities
 * Added Serializer and Deserializer support
 * Added Quantizer support

Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I04c755ba7cb5b1edf72b3c9f3c0314878032e3c7
---
 src/armnn/layers/TransposeLayer.hpp | 70 +++++++++++++++++++++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 src/armnn/layers/TransposeLayer.hpp

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

diff --git a/src/armnn/layers/TransposeLayer.hpp b/src/armnn/layers/TransposeLayer.hpp
new file mode 100644
index 0000000000..4906bc9412
--- /dev/null
+++ b/src/armnn/layers/TransposeLayer.hpp
@@ -0,0 +1,70 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents a transpose operation.
+class TransposeLayer : public LayerWithParameters<TransposeDescriptor>
+{
+public:
+    /// Makes a workload for the Transpose type.
+    /// @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.
+    TransposeLayer* Clone(Graph& graph) const override;
+
+    /// Check if the input tensor shape(s)
+    /// will lead to a valid configuration of @ref TransposeLayer.
+    void ValidateTensorShapesFromInputs() override;
+
+    /// Infers the output shapes from given input shapes and the permutation vector.
+    /// @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;
+
+    /// @return a permutation vector describing the permutation for the dimensions of the input tensor.
+    const PermutationVector& GetPermutation() const
+    {
+        return m_Param.m_DimMappings;
+    }
+
+    /// Indicates if the other layer received is inverse of this one.
+    /// @param [in] other The other layer to be compared with.
+    /// @return true if other layer is inverse of this false otherwise.
+    bool IsInverse(const Layer& other) const
+    {
+        return (other.GetType() == LayerType::Transpose) &&
+            GetPermutation().IsInverse(boost::polymorphic_downcast<const TransposeLayer*>(&other)->GetPermutation());
+    }
+
+    /// Indicates if the other layer received is equal to this one.
+    /// @param [in] other The other layer to be compare with.
+    /// @return true if other layer is equal to this false otherwise.
+    bool IsEqual(const Layer& other) const
+    {
+        return (other.GetType() == LayerType::Transpose) &&
+               GetPermutation().IsEqual(boost::polymorphic_downcast<const TransposeLayer*>(&other)->GetPermutation());
+    }
+
+    void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+    /// Constructor to create a TransposeLayer.
+    /// @param [in] param TransposeDescriptor to configure the permute operation.
+    /// @param [in] name Optional name for the layer.
+    TransposeLayer(const TransposeDescriptor& param, const char* name);
+
+    /// Default destructor
+    ~TransposeLayer() = default;
+};
+
+} // namespace
-- 
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