From 59a950cefe927d002aa00d7c3af54f4389e00162 Mon Sep 17 00:00:00 2001
From: Matteo Martincigh <matteo.martincigh@arm.com>
Date: Thu, 13 Dec 2018 12:48:25 +0000
Subject: 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
---
 src/armnn/layers/ElementwiseBaseLayer.cpp | 69 +++++++++++++++++++++++++++++++
 1 file changed, 69 insertions(+)
 create mode 100644 src/armnn/layers/ElementwiseBaseLayer.cpp

(limited to 'src/armnn/layers/ElementwiseBaseLayer.cpp')

diff --git a/src/armnn/layers/ElementwiseBaseLayer.cpp b/src/armnn/layers/ElementwiseBaseLayer.cpp
new file mode 100644
index 0000000000..761814176d
--- /dev/null
+++ b/src/armnn/layers/ElementwiseBaseLayer.cpp
@@ -0,0 +1,69 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ElementwiseBaseLayer.hpp"
+
+#include "InternalTypes.hpp"
+#include "armnn/Exceptions.hpp"
+#include <armnn/TypesUtils.hpp>
+
+#include <boost/assert.hpp>
+
+namespace armnn
+{
+
+ElementwiseBaseLayer::ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots,
+                                           LayerType type, const char* name)
+    : Layer(numInputSlots, numOutputSlots, type, name)
+{
+}
+
+std::vector<TensorShape> ElementwiseBaseLayer::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 ElementwiseBaseLayer::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
-- 
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