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
---
 .../ClWorkloads/ClConvolution2dFloat32Workload.cpp | 70 ++++++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp

(limited to 'src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp')

diff --git a/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp b/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp
new file mode 100644
index 0000000000..6f4069bcc0
--- /dev/null
+++ b/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp
@@ -0,0 +1,70 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "ClConvolution2dFloat32Workload.hpp"
+#include "backends/ClTensorHandle.hpp"
+#include "backends/CpuTensorHandle.hpp"
+#include "backends/ArmComputeTensorUtils.hpp"
+#include "backends/ClLayerSupport.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+ClConvolution2dFloat32Workload::ClConvolution2dFloat32Workload(const Convolution2dQueueDescriptor& descriptor,
+                                                               const WorkloadInfo& info)
+    : Float32Workload<Convolution2dQueueDescriptor>(descriptor, info)
+{
+
+    // todo: check tensor shapes match
+    const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
+    BuildArmComputeTensor(m_KernelTensor, weightInfo);
+
+    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);
+
+    arm_compute::CLTensor* optionalBias = nullptr;
+    if (m_Data.m_Parameters.m_BiasEnabled)
+    {
+        BuildArmComputeTensor(m_BiasTensor, m_Data.m_Bias->GetTensorInfo());
+        optionalBias = &m_BiasTensor;
+    }
+
+    m_Data.ValidateInputsOutputs("ClConvolution2dFloat32Workload", 1, 1);
+
+    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    m_pConvolutionLayer = std::make_unique<arm_compute::CLConvolutionLayer>();
+    static_cast<arm_compute::CLConvolutionLayer*>(m_pConvolutionLayer.get())->configure(&input,
+                                                                                        &m_KernelTensor,
+                                                                                        optionalBias,
+                                                                                        &output,
+                                                                                        padStrideInfo);
+
+    BOOST_ASSERT(m_pConvolutionLayer);
+
+    InitialiseArmComputeClTensorData(m_KernelTensor, m_Data.m_Weight->GetConstTensor<float>());
+
+    if (optionalBias)
+    {
+        InitialiseArmComputeClTensorData(*optionalBias, m_Data.m_Bias->GetConstTensor<float>());
+    }
+}
+
+void ClConvolution2dFloat32Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "ClConvolution2dFloat32Workload_Execute");
+    BOOST_ASSERT(m_pConvolutionLayer);
+
+    m_pConvolutionLayer->run();
+}
+
+} //namespace armnn
\ No newline at end of file
-- 
cgit v1.2.1