From 0dbe0ee25312b728d77383d11c465156e64ae757 Mon Sep 17 00:00:00 2001
From: David Beck <david.beck@arm.com>
Date: Mon, 24 Sep 2018 15:59:27 +0100
Subject: IVGCVSW-1899 : Neon backend folder structure

armnn:149855

Change-Id: I26e8cf83422a65049386a5ebdb6d0001627aefaa
---
 .../NeonDepthwiseConvolutionUint8Workload.cpp      | 93 ++++++++++++++++++++++
 1 file changed, 93 insertions(+)
 create mode 100644 src/backends/neon/workloads/NeonDepthwiseConvolutionUint8Workload.cpp

(limited to 'src/backends/neon/workloads/NeonDepthwiseConvolutionUint8Workload.cpp')

diff --git a/src/backends/neon/workloads/NeonDepthwiseConvolutionUint8Workload.cpp b/src/backends/neon/workloads/NeonDepthwiseConvolutionUint8Workload.cpp
new file mode 100644
index 0000000000..722b778eba
--- /dev/null
+++ b/src/backends/neon/workloads/NeonDepthwiseConvolutionUint8Workload.cpp
@@ -0,0 +1,93 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonDepthwiseConvolutionUint8Workload.hpp"
+#include <backends/neon/NeonLayerSupport.hpp>
+#include <backends/CpuTensorHandle.hpp>
+#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+NeonDepthwiseConvolutionUint8Workload::NeonDepthwiseConvolutionUint8Workload(
+    const DepthwiseConvolution2dQueueDescriptor& descriptor,
+    const WorkloadInfo& info)
+    : Uint8Workload<DepthwiseConvolution2dQueueDescriptor>(descriptor, info)
+{
+    const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
+
+    m_KernelTensor = std::make_unique<arm_compute::Tensor>();
+    BuildArmComputeTensor(*m_KernelTensor, weightInfo, descriptor.m_DataLayout);
+
+    if (m_Data.m_Parameters.m_BiasEnabled)
+    {
+        m_BiasTensor = std::make_unique<arm_compute::Tensor>();
+        BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), descriptor.m_DataLayout);
+    }
+
+    arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
+                                             m_Data.m_Parameters.m_StrideY,
+                                             m_Data.m_Parameters.m_PadLeft,
+                                             m_Data.m_Parameters.m_PadRight,
+                                             m_Data.m_Parameters.m_PadTop,
+                                             m_Data.m_Parameters.m_PadBottom,
+                                             arm_compute::DimensionRoundingType::FLOOR);
+
+    m_Data.ValidateInputsOutputs("NeonDepthwiseConvolutionUint8Workload", 1, 1);
+
+    arm_compute::ITensor& input  = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    bool use3x3Optimisation = weightInfo.GetShape()[3] == 3 && weightInfo.GetShape()[2] == 3;
+    if (use3x3Optimisation)
+    {
+        m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer3x3>();
+        static_cast<arm_compute::NEDepthwiseConvolutionLayer3x3*>(
+            m_pDepthwiseConvolutionLayer.get())->configure(&input,
+                                                           m_KernelTensor.get(),
+                                                           m_BiasTensor.get(),
+                                                           &output,
+                                                           padStrideInfo);
+    }
+    else
+    {
+        m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer>();
+        static_cast<arm_compute::NEDepthwiseConvolutionLayer*>(
+            m_pDepthwiseConvolutionLayer.get())->configure(&input,
+                                                           m_KernelTensor.get(),
+                                                           m_BiasTensor.get(),
+                                                           &output,
+                                                           padStrideInfo);
+    }
+
+    BOOST_ASSERT(m_pDepthwiseConvolutionLayer);
+
+    InitialiseArmComputeTensorData(*m_KernelTensor, m_Data.m_Weight->GetConstTensor<uint8_t>());
+
+    if (m_BiasTensor)
+    {
+        InitialiseArmComputeTensorData(*m_BiasTensor, m_Data.m_Bias->GetConstTensor<int32_t>());
+    }
+
+    m_pDepthwiseConvolutionLayer->prepare();
+    FreeUnusedTensors();
+}
+
+void NeonDepthwiseConvolutionUint8Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDepthwiseConvolutionUint8Workload_Execute");
+    BOOST_ASSERT(m_pDepthwiseConvolutionLayer);
+
+    m_pDepthwiseConvolutionLayer->run();
+}
+
+void NeonDepthwiseConvolutionUint8Workload::FreeUnusedTensors()
+{
+    FreeTensorIfUnused(m_KernelTensor);
+    FreeTensorIfUnused(m_BiasTensor);
+}
+
+} //namespace armnn
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