IVGCVSW-3973 Add frontend for LOG_SOFTMAX

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ic6acc7176deea3753b32ce6340f642d19dce0e9f

2 files changed, 94 insertions, 0 deletions

diff --git a/src/armnn/layers/LogSoftmaxLayer.cpp b/src/armnn/layers/LogSoftmaxLayer.cpp
new file mode 100644
index 0000000000..6ca15b2d6f
--- /dev/null
+++ b/src/armnn/layers/LogSoftmaxLayer.cpp
@@ -0,0 +1,50 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "LogSoftmaxLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+
+#include <backendsCommon/WorkloadData.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+LogSoftmaxLayer::LogSoftmaxLayer(const LogSoftmaxDescriptor &param, const char* name)
+    : LayerWithParameters(1, 1, LayerType::LogSoftmax, param, name) {}
+
+std::unique_ptr<IWorkload> LogSoftmaxLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
+{
+    LogSoftmaxQueueDescriptor descriptor;
+    return factory.CreateLogSoftmax(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+LogSoftmaxLayer* LogSoftmaxLayer::Clone(Graph& graph) const
+{
+    return CloneBase<LogSoftmaxLayer>(graph, m_Param, GetName());
+}
+
+void LogSoftmaxLayer::ValidateTensorShapesFromInputs()
+{
+    VerifyLayerConnections(1, CHECK_LOCATION());
+
+    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+    BOOST_ASSERT(inferredShapes.size() == 1);
+
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "LogSoftmaxLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        inferredShapes[0]);
+}
+
+void LogSoftmaxLayer::Accept(ILayerVisitor& visitor) const
+{
+    visitor.VisitLogSoftmaxLayer(this, GetParameters(), GetName());
+}
+
+} // namespace armnn
diff --git a/src/armnn/layers/LogSoftmaxLayer.hpp b/src/armnn/layers/LogSoftmaxLayer.hpp
new file mode 100644
index 0000000000..13da542139
--- /dev/null
+++ b/src/armnn/layers/LogSoftmaxLayer.hpp
@@ -0,0 +1,44 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents a log softmax operation.
+class LogSoftmaxLayer : public LayerWithParameters<LogSoftmaxDescriptor>
+{
+public:
+    /// Makes a workload for the LogSoftmax 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 Graph&            graph,
+                                                      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.
+    LogSoftmaxLayer* Clone(Graph& graph) const override;
+
+    /// Check if the input tensor shape(s)
+    /// will lead to a valid configuration of @ref LogSoftmaxLayer.
+    void ValidateTensorShapesFromInputs() override;
+
+    void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+    /// Constructor to create a LogSoftmaxLayer.
+    /// @param [in] param LogSoftmaxDescriptor to configure the log softmax operation.
+    /// @param [in] name Optional name for the layer.
+    LogSoftmaxLayer(const LogSoftmaxDescriptor& param, const char* name);
+
+    /// Default destructor
+    ~LogSoftmaxLayer() = default;
+};
+
+} // namespace