From a2747487fbe7eb6d9f5357c6d16c32355ed6e01c Mon Sep 17 00:00:00 2001
From: Sadik Armagan <sadik.armagan@arm.com>
Date: Tue, 9 Feb 2021 10:28:54 +0000
Subject: MLCE-347 'REDUCE_MIN, REDUCE_MAX, REDUCE_SUM Support'

* Added TfLiteParser support for REDUCE_MIN and REDUCE_MAX operators
* Added ACL workloads support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators
* Added TfLite Delegate support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I8085d59946bfd4ab78a59a61f899031ae53371a8
---
 src/backends/neon/workloads/CMakeLists.txt         |  2 +
 src/backends/neon/workloads/NeonReduceWorkload.cpp | 66 ++++++++++++++++++++++
 src/backends/neon/workloads/NeonReduceWorkload.hpp | 30 ++++++++++
 src/backends/neon/workloads/NeonWorkloads.hpp      |  1 +
 4 files changed, 99 insertions(+)
 create mode 100644 src/backends/neon/workloads/NeonReduceWorkload.cpp
 create mode 100644 src/backends/neon/workloads/NeonReduceWorkload.hpp

(limited to 'src/backends/neon/workloads')

diff --git a/src/backends/neon/workloads/CMakeLists.txt b/src/backends/neon/workloads/CMakeLists.txt
index f1a723b324..7c2b185ec3 100644
--- a/src/backends/neon/workloads/CMakeLists.txt
+++ b/src/backends/neon/workloads/CMakeLists.txt
@@ -93,6 +93,8 @@ list(APPEND armnnNeonBackendWorkloads_sources
     NeonQuantizeWorkload.cpp
     NeonQuantizeWorkload.hpp
     NeonRankWorkload.hpp
+    NeonReduceWorkload.cpp
+    NeonReduceWorkload.hpp
     NeonReshapeWorkload.cpp
     NeonReshapeWorkload.hpp
     NeonResizeWorkload.cpp
diff --git a/src/backends/neon/workloads/NeonReduceWorkload.cpp b/src/backends/neon/workloads/NeonReduceWorkload.cpp
new file mode 100644
index 0000000000..0e1b46a3a1
--- /dev/null
+++ b/src/backends/neon/workloads/NeonReduceWorkload.cpp
@@ -0,0 +1,66 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonReduceWorkload.hpp"
+
+#include <aclCommon/ArmComputeUtils.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <neon/NeonTensorHandle.hpp>
+
+#include "NeonWorkloadUtils.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+arm_compute::Status NeonReduceWorkloadValidate(const TensorInfo& input,
+                                               const TensorInfo& output,
+                                               const ReduceDescriptor& desc)
+{
+    const arm_compute::TensorInfo aclInputInfo  = armcomputetensorutils::BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
+    if (!desc.m_vAxis.empty() && desc.m_vAxis.size() > 1)
+    {
+        return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR,
+                                   "NeonReduceWorkload: Reduction is supported only on 1 axis.");
+    }
+
+    arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(aclInputInfo.num_dimensions(),
+                                                                          input.GetNumDimensions(),
+                                                                          desc.m_vAxis);
+
+    return arm_compute::NEReductionOperation::validate(&aclInputInfo,
+                                                       &aclOutputInfo,
+                                                       static_cast<unsigned int>(coords[0]),
+                                                       ConvertReductionOperationToAcl(desc),
+                                                       desc.m_KeepDims);
+}
+
+NeonReduceWorkload::NeonReduceWorkload(const ReduceQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : BaseWorkload<ReduceQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonReduceWorkload", 1, 1);
+
+    arm_compute::ITensor& input  = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(input.info()->num_dimensions(),
+                                                                          info.m_InputTensorInfos[0].GetNumDimensions(),
+                                                                          m_Data.m_Parameters.m_vAxis);
+    m_Layer.configure(&input,
+                      &output,
+                      static_cast<unsigned int>(coords[0]),
+                      ConvertReductionOperationToAcl(m_Data.m_Parameters),
+                      m_Data.m_Parameters.m_KeepDims);
+}
+
+void NeonReduceWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonReduceWorkload_Execute");
+    m_Layer.run();
+}
+
+} //namespace armnn
diff --git a/src/backends/neon/workloads/NeonReduceWorkload.hpp b/src/backends/neon/workloads/NeonReduceWorkload.hpp
new file mode 100644
index 0000000000..0472091fbf
--- /dev/null
+++ b/src/backends/neon/workloads/NeonReduceWorkload.hpp
@@ -0,0 +1,30 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <backendsCommon/Workload.hpp>
+
+#include <arm_compute/runtime/NEON/functions/NEReductionOperation.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonReduceWorkloadValidate(const TensorInfo& input,
+                                               const TensorInfo& output,
+                                               const ReduceDescriptor& desc);
+
+class NeonReduceWorkload : public BaseWorkload<ReduceQueueDescriptor>
+{
+public:
+    NeonReduceWorkload(const ReduceQueueDescriptor& descriptor, const WorkloadInfo& info);
+
+    void Execute() const override;
+
+private:
+    mutable arm_compute::NEReductionOperation m_Layer;
+};
+
+} //namespace armnn
diff --git a/src/backends/neon/workloads/NeonWorkloads.hpp b/src/backends/neon/workloads/NeonWorkloads.hpp
index 949100d50a..4eb526a04d 100644
--- a/src/backends/neon/workloads/NeonWorkloads.hpp
+++ b/src/backends/neon/workloads/NeonWorkloads.hpp
@@ -49,6 +49,7 @@
 #include "NeonQuantizedLstmWorkload.hpp"
 #include "NeonQuantizeWorkload.hpp"
 #include "NeonRankWorkload.hpp"
+#include "NeonReduceWorkload.hpp"
 #include "NeonReshapeWorkload.hpp"
 #include "NeonResizeWorkload.hpp"
 #include "NeonRsqrtWorkload.hpp"
-- 
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