From 10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab Mon Sep 17 00:00:00 2001 From: David Beck Date: Wed, 19 Sep 2018 12:03:20 +0100 Subject: IVGCVSW-1897 : build infrastructure for the src/backends folder Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb --- .../RefL2NormalizationFloat32Workload.cpp | 61 ---------------------- 1 file changed, 61 deletions(-) delete mode 100644 src/armnn/backends/RefWorkloads/RefL2NormalizationFloat32Workload.cpp (limited to 'src/armnn/backends/RefWorkloads/RefL2NormalizationFloat32Workload.cpp') diff --git a/src/armnn/backends/RefWorkloads/RefL2NormalizationFloat32Workload.cpp b/src/armnn/backends/RefWorkloads/RefL2NormalizationFloat32Workload.cpp deleted file mode 100644 index 973c87b009..0000000000 --- a/src/armnn/backends/RefWorkloads/RefL2NormalizationFloat32Workload.cpp +++ /dev/null @@ -1,61 +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 - -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 input(inputInfo.GetShape(), GetInputTensorDataFloat(0, m_Data)); - TensorBufferArrayView output(outputInfo.GetShape(), GetOutputTensorDataFloat(0, m_Data)); - - const unsigned int batchSize = inputInfo.GetShape()[0]; - const unsigned int depth = inputInfo.GetShape()[1]; - const unsigned int rows = inputInfo.GetShape()[2]; - const unsigned int cols = inputInfo.GetShape()[3]; - - for (unsigned int n = 0; n < batchSize; ++n) - { - for (unsigned int d = 0; d < depth; ++d) - { - for (unsigned int h = 0; h < rows; ++h) - { - for (unsigned int w = 0; w < cols; ++w) - { - float reduction = 0.0; - for (unsigned int c = 0; c < depth; ++c) - { - const float value = input.Get(n, c, 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, d, h, w) = input.Get(n, d, h, w) * scale; - } - } - } - } -} - -} //namespace armnn -- cgit v1.2.1