1 files changed, 54 insertions, 0 deletions
diff --git a/src/armnn/layers/ChannelShuffleLayer.cpp b/src/armnn/layers/ChannelShuffleLayer.cpp
new file mode 100644
index 0000000000..a3b85f1ba7
--- /dev/null
+++ b/src/armnn/layers/ChannelShuffleLayer.cpp
@@ -0,0 +1,54 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ChannelShuffleLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include  <armnn/TypesUtils.hpp>
+
+#include <backendsCommon/Workload.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+namespace armnn
+{
+ChannelShuffleLayer::ChannelShuffleLayer(const ChannelShuffleDescriptor& param, const char* name)
+: LayerWithParameters(1, 1, LayerType::ChannelShuffle, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> ChannelShuffleLayer::CreateWorkload(const IWorkloadFactory &factory) const
+{
+    ChannelShuffleQueueDescriptor descriptor;
+    SetAdditionalInfo(descriptor);
+
+    return factory.CreateChannelShuffle(descriptor, PrepInfoAndDesc(descriptor));
+}
+
+ChannelShuffleLayer* ChannelShuffleLayer::Clone(Graph& graph) const
+{
+    return CloneBase<ChannelShuffleLayer>(graph, m_Param, GetName());
+}
+
+void ChannelShuffleLayer::ValidateTensorShapesFromInputs()
+{
+    VerifyLayerConnections(1, CHECK_LOCATION());
+
+    const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
+
+    VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
+
+    auto inferredShapes = Layer::InferOutputShapes({GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+
+    ARMNN_ASSERT(inferredShapes.size() == 1);
+
+    ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ChannelShuffleLayer");
+}
+void ChannelShuffleLayer::Accept(ILayerVisitor& visitor) const
+{
+    IgnoreUnused(visitor);
+    throw armnn::Exception("ChannelShuffleLayer: VisitChannelShuffleLayer is not implemented");
+}
+}
+\ No newline at end of file