1 files changed, 48 insertions, 0 deletions
diff --git a/src/armnn/layers/ConvertFp16ToFp32Layer.cpp b/src/armnn/layers/ConvertFp16ToFp32Layer.cpp
new file mode 100644
index 0000000000..80d981c267
--- /dev/null
+++ b/src/armnn/layers/ConvertFp16ToFp32Layer.cpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "ConvertFp16ToFp32Layer.hpp"
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+
+#include <backends/WorkloadData.hpp>
+#include <backends/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+ConvertFp16ToFp32Layer::ConvertFp16ToFp32Layer(const char* name)
+    : Layer(1, 1, LayerType::ConvertFp16ToFp32, name)
+{
+}
+
+std::unique_ptr<IWorkload> ConvertFp16ToFp32Layer::CreateWorkload(const Graph& graph,
+    const IWorkloadFactory& factory) const
+{
+    ConvertFp16ToFp32QueueDescriptor descriptor;
+    return factory.CreateConvertFp16ToFp32(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+ConvertFp16ToFp32Layer* ConvertFp16ToFp32Layer::Clone(Graph& graph) const
+{
+    return CloneBase<ConvertFp16ToFp32Layer>(graph, GetName());
+}
+
+void ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()
+{
+    VerifyLayerConnections(1, CHECK_LOCATION());
+
+    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+
+    BOOST_ASSERT(inferredShapes.size() == 1);
+
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "ConvertFp16ToFp32Layer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        inferredShapes[0]);
+}
+
+} // namespace armnn