From 4fcda0101ec3d110c1d6d7bee5c83416b645528a Mon Sep 17 00:00:00 2001
From: telsoa01 <telmo.soares@arm.com>
Date: Fri, 9 Mar 2018 14:13:49 +0000
Subject: Release 18.02

Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
---
 .../NeonWorkloads/NeonPooling2dBaseWorkload.cpp    | 47 ++++++++++++++++++++++
 1 file changed, 47 insertions(+)
 create mode 100644 src/armnn/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp

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

diff --git a/src/armnn/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp
new file mode 100644
index 0000000000..6d6a492155
--- /dev/null
+++ b/src/armnn/backends/NeonWorkloads/NeonPooling2dBaseWorkload.cpp
@@ -0,0 +1,47 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#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 dataType>
+NeonPooling2dBaseWorkload<dataType>::NeonPooling2dBaseWorkload(
+    const Pooling2dQueueDescriptor& descriptor, const WorkloadInfo& info, const std::string& name)
+    : TypedWorkload<Pooling2dQueueDescriptor, dataType>(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::Float32>;
+template class NeonPooling2dBaseWorkload<DataType::QuantisedAsymm8>;
+
+} //namespace armnn
+
-- 
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