IVGCVSW-2377 Add no-op factory implementations for all backends for the

Greater operation

 * Added QueueDescriptor in WorkloadData.hpp
 * Added CreateGreater function in WorkloadFactory.hpp
 * Added stub implementation of the CreateGreater function in RefWorkloadFactory,
   NeonWorkloadFactory and ClWorkloadFactory
 * Added GreaterLayer stub implementation
 * Renamed ArithmeticBaseLayer to ElementwiseBaseLayer

Change-Id: I7e38c2936de905da921a92ba3f918478169ec7f5

1 files changed, 0 insertions, 68 deletions

diff --git a/src/armnn/layers/ArithmeticBaseLayer.cpp b/src/armnn/layers/ArithmeticBaseLayer.cpp
deleted file mode 100644
index 3b89c229c3..0000000000
--- a/src/armnn/layers/ArithmeticBaseLayer.cpp
+++ /dev/null
@@ -1,68 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include "ArithmeticBaseLayer.hpp"
-
-#include "InternalTypes.hpp"
-#include "armnn/Exceptions.hpp"
-#include <armnn/TypesUtils.hpp>
-
-#include <boost/assert.hpp>
-
-namespace armnn
-{
-
-ArithmeticBaseLayer::ArithmeticBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots,
-                                         LayerType type, const char* name)
-    : Layer(numInputSlots, numOutputSlots, type, name)
-{
-}
-
-std::vector<TensorShape> ArithmeticBaseLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
-{
-    BOOST_ASSERT(inputShapes.size() == 2);
-    auto& input0 = inputShapes[0];
-    auto& input1 = inputShapes[1];
-
-    // Get the max of the inputs.
-    BOOST_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
-    unsigned int numDims = input0.GetNumDimensions();
-    std::vector<unsigned int> dims(numDims);
-
-    for (unsigned int i = 0; i < numDims; i++)
-    {
-        unsigned int dim0 = input0[i];
-        unsigned int dim1 = input1[i];
-
-#if !NDEBUG
-        // Validate inputs are broadcast compatible.
-        BOOST_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1,
-                         "Dimensions should either match or one should be of size 1.");
-#endif
-
-        dims[i] = std::max(dim0, dim1);
-    }
-
-    return std::vector<TensorShape>({ TensorShape(numDims, dims.data()) });
-}
-
-void ArithmeticBaseLayer::ValidateTensorShapesFromInputs()
-{
-    VerifyLayerConnections(2, CHECK_LOCATION());
-
-    auto inferredShapes = InferOutputShapes({
-        GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(),
-        GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()
-    });
-
-    BOOST_ASSERT(inferredShapes.size() == 1);
-
-    std::string msg = GetLayerTypeAsCString(GetType());
-    msg += "Layer: TensorShape set on OutputSlot[0] does not match the inferred shape.";
-    ConditionalThrowIfNotEqual<LayerValidationException>(msg,
-                                                         GetOutputSlot(0).GetTensorInfo().GetShape(),
-                                                         inferredShapes[0]);
-}
-
-} // namespace armnn