1 files changed, 48 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefBroadcastToWorkload.cpp b/src/backends/reference/workloads/RefBroadcastToWorkload.cpp
new file mode 100644
index 0000000000..3a6184d22e
--- /dev/null
+++ b/src/backends/reference/workloads/RefBroadcastToWorkload.cpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefBroadcastToWorkload.hpp"
+#include "RefWorkloadUtils.hpp"
+#include "Profiling.hpp"
+#include "Broadcast.hpp"
+
+#include "Decoders.hpp"
+#include "Encoders.hpp"
+
+namespace armnn
+{
+
+RefBroadcastToWorkload::RefBroadcastToWorkload(const BroadcastToQueueDescriptor& descriptor, const WorkloadInfo& info)
+        : RefBaseWorkload(descriptor, info)
+{}
+
+void RefBroadcastToWorkload::Execute() const
+{
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefBroadcastToWorkload::ExecuteAsync(ExecutionData& executionData)
+{
+    WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
+    Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
+}
+
+void RefBroadcastToWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefBroadcastToWorkload_Execute");
+    const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
+    const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
+
+    std::unique_ptr<Decoder<float>> input = MakeDecoder<float>(inputInfo, inputs[0]->Map());
+    std::unique_ptr<Encoder<float>> output= MakeEncoder<float>(outputInfo, outputs[0]->Map());
+
+    auto broadcastTo = [](float x)
+    {
+        return x;
+    };
+    BroadcastLoop(inputInfo.GetShape(), outputInfo.GetShape()).Unroll(broadcastTo,
+                                                                      0, *input, *output);
+}
+} // namespace armnn