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authortelsoa01 <telmo.soares@arm.com>2018-08-31 09:22:23 +0100
committertelsoa01 <telmo.soares@arm.com>2018-08-31 09:22:23 +0100
commitc577f2c6a3b4ddb6ba87a882723c53a248afbeba (patch)
treebd7d4c148df27f8be6649d313efb24f536b7cf34 /src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp
parent4c7098bfeab1ffe1cdc77f6c15548d3e73274746 (diff)
downloadarmnn-c577f2c6a3b4ddb6ba87a882723c53a248afbeba.tar.gz
Release 18.08
Diffstat (limited to 'src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp')
-rw-r--r--src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp10
1 files changed, 8 insertions, 2 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp
index 6fe203e5f0..818455e0e9 100644
--- a/src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp
+++ b/src/armnn/backends/RefWorkloads/RefFullyConnectedFloat32Workload.cpp
@@ -12,6 +12,12 @@
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
{
@@ -22,8 +28,8 @@ void RefFullyConnectedFloat32Workload::Execute() const
float* outputData = GetOutputTensorDataFloat(0, m_Data);
const float* inputData = GetInputTensorDataFloat(0, m_Data);
- const float* weightData = m_Data.m_Weight->GetConstTensor<float>();
- const float* biasData = m_Data.m_Parameters.m_BiasEnabled ? m_Data.m_Bias->GetConstTensor<float>() : nullptr;
+ const float* weightData = m_Weight->GetConstTensor<float>();
+ const float* biasData = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->GetConstTensor<float>() : nullptr;
FullyConnected(inputData,
outputData,