IVGCVSW-7831: Front end and Reference Implementation for REVERSE_V2

 * Descriptors added for ReverseV2
 * Layer definition added
 * Input validation added
 * Reference workload implementation for ReverseV2 added
 * Reference layer unit tests made for ReverseV2
 * CompareTensors method updated to support comparison between empty tensors
 * CMake and other build files updated

Signed-off-by: Tianle Cheng <tianle.cheng@arm.com>
Change-Id: I805738454421309fda77c44218a8df171d68dc18

1 files changed, 48 insertions, 0 deletions

diff --git a/src/backends/reference/workloads/RefReverseV2Workload.cpp b/src/backends/reference/workloads/RefReverseV2Workload.cpp
new file mode 100644
index 0000000000..cd2d9f930b
--- /dev/null
+++ b/src/backends/reference/workloads/RefReverseV2Workload.cpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefReverseV2Workload.hpp"
+
+#include "ReverseV2Impl.hpp"
+#include "RefWorkloadUtils.hpp"
+#include "Profiling.hpp"
+
+namespace armnn
+{
+
+    RefReverseV2Workload::RefReverseV2Workload(const ReverseV2QueueDescriptor& descriptor, const WorkloadInfo& info)
+        : RefBaseWorkload(descriptor, info)
+    {}
+
+    void RefReverseV2Workload::Execute() const
+    {
+        Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+    }
+
+    void RefReverseV2Workload::ExecuteAsync(ExecutionData& executionData)
+    {
+        WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
+        Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
+    }
+
+    void RefReverseV2Workload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+    {
+        ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefReverseV2Workload_Execute");
+
+        const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
+
+        std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]),
+                                                                          inputs[0]->Map());
+
+        std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
+                                                                           outputs[0]->Map());
+
+        ReverseV2(m_Data.m_Parameters,
+                  inputInfo,
+                  *inputDecoder,
+                  *outputEncoder);
+    }
+
+} // namespace armnn
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