From 10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab Mon Sep 17 00:00:00 2001
From: David Beck <david.beck@arm.com>
Date: Wed, 19 Sep 2018 12:03:20 +0100
Subject: IVGCVSW-1897 : build infrastructure for the src/backends folder

Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
---
 .../NeonWorkloads/NeonPooling2dBaseWorkload.cpp    | 47 ++++++++++++++++++++++
 1 file changed, 47 insertions(+)
 create mode 100644 src/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp

(limited to 'src/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp')

diff --git a/src/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp b/src/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp
new file mode 100644
index 0000000000..208d08c4c5
--- /dev/null
+++ b/src/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp
@@ -0,0 +1,47 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonPooling2dBaseWorkload.hpp"
+#include "backends/NeonLayerSupport.hpp"
+#include "backends/NeonTensorHandle.hpp"
+#include "backends/ArmComputeUtils.hpp"
+#include "backends/ArmComputeTensorUtils.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+arm_compute::Status NeonPooling2dWorkloadValidate(const TensorInfo& input,
+    const TensorInfo& output,
+    const Pooling2dDescriptor& descriptor)
+{
+    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
+    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
+
+    arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(descriptor);
+
+    return arm_compute::NEPoolingLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
+}
+
+template <armnn::DataType... dataTypes>
+NeonPooling2dBaseWorkload<dataTypes...>::NeonPooling2dBaseWorkload(
+    const Pooling2dQueueDescriptor& descriptor, const WorkloadInfo& info, const std::string& name)
+    : TypedWorkload<Pooling2dQueueDescriptor, dataTypes...>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs(name, 1, 1);
+
+    arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(m_Data.m_Parameters);
+
+    m_PoolingLayer.configure(&input, &output, layerInfo);
+}
+
+template class NeonPooling2dBaseWorkload<DataType::Float16, DataType::Float32>;
+template class NeonPooling2dBaseWorkload<DataType::QuantisedAsymm8>;
+
+} //namespace armnn
+
-- 
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