1 files changed, 50 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