1 files changed, 64 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonPooling3dWorkload.cpp b/src/backends/neon/workloads/NeonPooling3dWorkload.cpp
new file mode 100644
index 0000000000..4bc4f986c3
--- /dev/null
+++ b/src/backends/neon/workloads/NeonPooling3dWorkload.cpp
@@ -0,0 +1,64 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include "NeonPooling3dWorkload.hpp"
+#include "NeonWorkloadUtils.hpp"
+#include <neon/NeonLayerSupport.hpp>
+#include <neon/NeonTensorHandle.hpp>
+#include <aclCommon/ArmComputeUtils.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+namespace armnn
+{
+    using namespace armcomputetensorutils;
+    arm_compute::Status NeonPooling3dWorkloadValidate(const TensorInfo& input,
+                                                      const TensorInfo& output,
+                                                      const Pooling3dDescriptor& descriptor)
+    {
+        const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
+        const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
+        arm_compute::Pooling3dLayerInfo layerInfo = BuildArmComputePooling3dLayerInfo(descriptor);
+        return arm_compute::NEPooling3dLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
+    }
+
+    NeonPooling3dWorkload::NeonPooling3dWorkload( const Pooling3dQueueDescriptor& descriptor,
+                                                  const WorkloadInfo& info)
+            : NeonBaseWorkload<Pooling3dQueueDescriptor>(descriptor, info)
+    {
+        // Report Profiling Details
+        ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonPooling3dWorkload_Construct",
+                                             descriptor.m_Parameters,
+                                             info,
+                                             this->GetGuid());
+
+        m_Data.ValidateInputsOutputs("NeonPooling3dWorkload", 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::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
+        input.info()->set_data_layout(aclDataLayout);
+        output.info()->set_data_layout(aclDataLayout);
+
+        // flag to use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy
+        // enable fp_mixed_precision for the the FP16 cases that
+        // accumulation reaches a limit beyond which there is no more increment of the value
+        bool fpMixedPrecision = false;
+
+        arm_compute::Pooling3dLayerInfo layerInfo = BuildArmComputePooling3dLayerInfo(m_Data.m_Parameters,
+                                                                                      fpMixedPrecision);
+        {
+            ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "NeonPooling3dWorkload_configure");
+
+            auto layer = std::make_unique<arm_compute::NEPooling3dLayer>();
+            layer->configure(&input, &output, layerInfo);
+            m_PoolingLayer.reset(layer.release());
+        }
+    }
+    void NeonPooling3dWorkload::Execute() const
+    {
+        ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonPooling3dWorkload_Execute", this->GetGuid());
+        m_PoolingLayer->run();
+    }
+}