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author | David Beck <david.beck@arm.com> | 2018-09-24 13:18:27 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:57 +0100 |
commit | b4540bef0b0327683fe8e63f727c1212800dc2a9 (patch) | |
tree | e1ea8bb6ee981640a1c469ceb556ed648ffde411 /src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp | |
parent | 2d9dd36fb6bc20b370701ab15463359b9db35f18 (diff) | |
download | armnn-b4540bef0b0327683fe8e63f727c1212800dc2a9.tar.gz |
IVGCVSW-1898 : Ref backend folder structure
* Reference backend is renamed to backends/reference as per
https://confluence.arm.com/display/MLENG/Pluggable+backends
Change-Id: I27a13c274eb60995dfb459e3c49c0e2f60bcd32c
Diffstat (limited to 'src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp | 61 |
1 files changed, 61 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp b/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp new file mode 100644 index 0000000000..973c87b009 --- /dev/null +++ b/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp @@ -0,0 +1,61 @@ +// +// 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> + +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)); + TensorBufferArrayView<float> 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 |