diff options
Diffstat (limited to 'src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp')
-rw-r--r-- | src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp | 37 |
1 files changed, 0 insertions, 37 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp deleted file mode 100644 index 20905646d7..0000000000 --- a/src/armnn/backends/RefWorkloads/RefConvolution2dFloat32Workload.cpp +++ /dev/null @@ -1,37 +0,0 @@ -// -// 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 |