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authorDavid Beck <david.beck@arm.com>2018-09-24 13:18:27 +0100
committerMatthew Bentham <matthew.bentham@arm.com>2018-10-10 16:16:57 +0100
commitb4540bef0b0327683fe8e63f727c1212800dc2a9 (patch)
treee1ea8bb6ee981640a1c469ceb556ed648ffde411 /src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp
parent2d9dd36fb6bc20b370701ab15463359b9db35f18 (diff)
downloadarmnn-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/RefFakeQuantizationFloat32Workload.cpp')
-rw-r--r--src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp42
1 files changed, 42 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp b/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp
new file mode 100644
index 0000000000..3e16f60b11
--- /dev/null
+++ b/src/backends/reference/workloads/RefFakeQuantizationFloat32Workload.cpp
@@ -0,0 +1,42 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefFakeQuantizationFloat32Workload.hpp"
+
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+#include <boost/numeric/conversion/cast.hpp>
+
+namespace armnn
+{
+
+void FakeQuantization(const float* inputData, float* outputData, uint32_t numElements, float min, float max)
+{
+ float scale = (max - min) / 255.f;
+ int32_t offset = boost::numeric_cast<int32_t>((-min * 255.f) / (max - min));
+
+ for (uint32_t i = 0; i < numElements; i++)
+ {
+ outputData[i] = static_cast<float>(armnn::Quantize<uint8_t>(inputData[i], scale, offset));
+ }
+
+}
+
+void RefFakeQuantizationFloat32Workload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFakeQuantizationFloat32Workload_Execute");
+
+ const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+
+ const float* inputData = GetInputTensorDataFloat(0, m_Data);
+ float* outputData = GetOutputTensorDataFloat(0, m_Data);
+ FakeQuantization(inputData, outputData, inputInfo.GetNumElements(),
+ m_Data.m_Parameters.m_Min,
+ m_Data.m_Parameters.m_Max);
+}
+
+} //namespace armnn