IVGCVSW-5091 Add Logical ops frontend and ref impl

* Add frontend and reference implementation for logical
  ops NOT, AND, OR.
* Unary NOT uses existing ElementwiseUnary layer and
  ElementwiseUnary descriptor.
* Binary AND/OR uses new layer LogicalBinary and new
  LogicalBinary descriptor.
* Add serialization/deserializion support and add missing
  ElementwiseUnary deserializer code.
* Add additional Boolean decoder in BaseIterator.hpp.

Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: Id343b01174053a166de1b98b6175e04a5065f720

1 files changed, 50 insertions, 0 deletions

diff --git a/src/armnn/layers/LogicalBinaryLayer.hpp b/src/armnn/layers/LogicalBinaryLayer.hpp
new file mode 100644
index 0000000000..c6b024b36b
--- /dev/null
+++ b/src/armnn/layers/LogicalBinaryLayer.hpp
@@ -0,0 +1,50 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents a Logical Binary operation.
+class LogicalBinaryLayer : public LayerWithParameters<LogicalBinaryDescriptor>
+{
+public:
+    /// Makes a workload for the LogicalBinary 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
+    LogicalBinaryLayer* Clone(Graph& graph) const 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;
+
+    /// Check if the input tensor shape(s) will lead to a valid configuration
+    /// of @ref LogicalBinaryLayer
+    /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
+    void ValidateTensorShapesFromInputs() override;
+
+    void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+    /// Constructor to create a LogicalBinaryLayer
+    /// @param [in] param LogicalBinaryDescriptor to configure the LogicalBinaryLayer
+    /// @param [in] name Optional name for the layer
+    LogicalBinaryLayer(const LogicalBinaryDescriptor& param, const char* name);
+
+    /// Default destructor
+    ~LogicalBinaryLayer() = default;
+};
+
+} // namespace armnn
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