aboutsummaryrefslogtreecommitdiff
path: root/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp')
-rw-r--r--src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp35
1 files changed, 0 insertions, 35 deletions
diff --git a/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp b/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
deleted file mode 100644
index 756e958753..0000000000
--- a/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
+++ /dev/null
@@ -1,35 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefDepthwiseConvolution2dFloat32Workload.hpp"
-
-#include "ConvImpl.hpp"
-#include "RefWorkloadUtils.hpp"
-
-#include "Profiling.hpp"
-
-namespace armnn
-{
-RefDepthwiseConvolution2dFloat32Workload::RefDepthwiseConvolution2dFloat32Workload(
- const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
- : Float32Workload<DepthwiseConvolution2dQueueDescriptor>(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 RefDepthwiseConvolution2dFloat32Workload::Execute() const
-{
- ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDepthwiseConvolution2dFloat32Workload_Execute");
-
- 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::DepthwiseConvolution2dQueueDescriptor, float, float, float>
- (m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, 0.0f, 0, filterInfo, true);
-}
-
-} //namespace armnn