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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/RefFullyConnectedFloat32Workload.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/RefFullyConnectedFloat32Workload.cpp')
-rw-r--r--src/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp43
1 files changed, 43 insertions, 0 deletions
diff --git a/src/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp b/src/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp
new file mode 100644
index 0000000000..ccaf4cd87b
--- /dev/null
+++ b/src/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp
@@ -0,0 +1,43 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefFullyConnectedFloat32Workload.hpp"
+
+#include "FullyConnected.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+namespace armnn
+{
+RefFullyConnectedFloat32Workload::RefFullyConnectedFloat32Workload(
+ const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info)
+ : Float32Workload<FullyConnectedQueueDescriptor>(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 RefFullyConnectedFloat32Workload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedFloat32Workload_Execute");
+
+ const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+ const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+
+ float* outputData = GetOutputTensorDataFloat(0, m_Data);
+ const float* inputData = GetInputTensorDataFloat(0, m_Data);
+ const float* weightData = m_Weight->GetConstTensor<float>();
+ const float* biasData = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->GetConstTensor<float>() : nullptr;
+
+ FullyConnected(inputData,
+ outputData,
+ inputInfo,
+ outputInfo,
+ weightData,
+ biasData,
+ m_Data.m_Parameters.m_TransposeWeightMatrix);
+}
+
+} //namespace armnn