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authorDavid Beck <david.beck@arm.com>2018-09-19 12:03:20 +0100
committerMatthew Bentham <matthew.bentham@arm.com>2018-10-10 16:16:56 +0100
commit10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab (patch)
tree1ac5b4f415531e2ef759439ab8e113f177bea7c5 /src/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp
parenta3f165624b2cdfbced674af5a6e11856b1e746d9 (diff)
downloadarmnn-10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab.tar.gz
IVGCVSW-1897 : build infrastructure for the src/backends folder
Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
Diffstat (limited to 'src/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp')
-rw-r--r--src/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp37
1 files changed, 37 insertions, 0 deletions
diff --git a/src/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp b/src/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp
new file mode 100644
index 0000000000..20905646d7
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+++ b/src/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp
@@ -0,0 +1,37 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefConvolution2dFloat32Workload.hpp"
+
+#include "ConvImpl.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+namespace armnn
+{
+RefConvolution2dFloat32Workload::RefConvolution2dFloat32Workload(
+ const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
+ : Float32Workload<Convolution2dQueueDescriptor>(descriptor, info),
+ m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight))),
+ m_Bias(descriptor.m_Parameters.m_BiasEnabled
+ ? std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)) : nullptr) {}
+
+void RefConvolution2dFloat32Workload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dFloat32Workload_Execute");
+
+ float* outputData = GetOutputTensorDataFloat(0, m_Data);
+ const float* inputData = GetInputTensorDataFloat(0, m_Data);
+ const float* weightData = m_Weight->template GetConstTensor<float>();
+ const float* biasData = m_Data.m_Parameters.m_BiasEnabled ?
+ m_Bias->template GetConstTensor<float>() : nullptr;
+ const TensorInfo& filterInfo = m_Weight->GetTensorInfo();
+
+ ConvImpl<armnn::Convolution2dQueueDescriptor, float, float, float>(
+ m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, outputData, 0.0f, 0, filterInfo);
+}
+
+} //namespace armnn