diff options
Diffstat (limited to 'src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp | 69 |
1 files changed, 0 insertions, 69 deletions
diff --git a/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp b/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp deleted file mode 100644 index bc82739f6e..0000000000 --- a/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp +++ /dev/null @@ -1,69 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "RefL2NormalizationFloat32Workload.hpp" - -#include "RefWorkloadUtils.hpp" -#include "TensorBufferArrayView.hpp" - -#include "Profiling.hpp" - -#include <cmath> - -using namespace armnnUtils; - -namespace armnn -{ - -void RefL2NormalizationFloat32Workload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefL2NormalizationFloat32Workload_Execute"); - - const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); - const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); - - TensorBufferArrayView<const float> input(inputInfo.GetShape(), - GetInputTensorDataFloat(0, m_Data), - m_Data.m_Parameters.m_DataLayout); - TensorBufferArrayView<float> output(outputInfo.GetShape(), - GetOutputTensorDataFloat(0, m_Data), - m_Data.m_Parameters.m_DataLayout); - - DataLayoutIndexed dataLayout(m_Data.m_Parameters.m_DataLayout); - - const unsigned int batches = inputInfo.GetShape()[0]; - const unsigned int channels = inputInfo.GetShape()[dataLayout.GetChannelsIndex()]; - const unsigned int height = inputInfo.GetShape()[dataLayout.GetHeightIndex()]; - const unsigned int width = inputInfo.GetShape()[dataLayout.GetWidthIndex()]; - - for (unsigned int n = 0; n < batches; ++n) - { - for (unsigned int c = 0; c < channels; ++c) - { - for (unsigned int h = 0; h < height; ++h) - { - for (unsigned int w = 0; w < width; ++w) - { - float reduction = 0.0; - for (unsigned int d = 0; d < channels; ++d) - { - const float value = input.Get(n, d, h, w); - reduction += value * value; - } - - // Using std::max(reduction, epsilon) below would prevent against division by 0. - // However, at the time of writing: - // - This is not supported by the ACL functions used to implement L2Normalization in the CL - // backend. - // - The reference semantics for this operator do not include this parameter. - const float scale = 1.0f / sqrtf(reduction); - output.Get(n, c, h, w) = input.Get(n, c, h, w) * scale; - } - } - } - } -} - -} //namespace armnn |