IVGCVSW-2871 Ref QuantizeLayer workload

Change-Id: If048b2a053c542b31ae344fe0af04d9b4f40eb6d
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>

1 files changed, 66 insertions, 0 deletions

diff --git a/src/backends/reference/workloads/RefQuantizeWorkload.cpp b/src/backends/reference/workloads/RefQuantizeWorkload.cpp
new file mode 100644
index 0000000000..b7ace32e14
--- /dev/null
+++ b/src/backends/reference/workloads/RefQuantizeWorkload.cpp
@@ -0,0 +1,66 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefQuantizeWorkload.hpp"
+
+#include <armnn/TypesUtils.hpp>
+
+
+namespace armnn
+{
+
+namespace
+{
+
+template<typename T>
+void QuantizeImpl(const void *input, void *output, size_t numValues, float scale, int offset)
+{
+    auto in = static_cast<const float *>(input);
+    auto out = static_cast<T *>(output);
+    for (size_t i = 0; i < numValues; i++, in++, out++)
+    {
+        *out = armnn::Quantize<T>(*in, scale, offset);
+    }
+}
+
+} //namespace
+
+RefQuantizeWorkload::RefQuantizeWorkload(const QuantizeQueueDescriptor& descriptor, const WorkloadInfo &info)
+    : BaseWorkload(descriptor, info)
+    , m_NumElements(info.m_InputTensorInfos[0].GetNumElements())
+    , m_TargetType(info.m_OutputTensorInfos[0].GetDataType())
+    , m_Scale(info.m_OutputTensorInfos[0].GetQuantizationScale())
+    , m_Offset(info.m_OutputTensorInfos[0].GetQuantizationOffset())
+{
+}
+
+void RefQuantizeWorkload::Execute() const
+{
+    const void* input = m_Data.m_Inputs[0]->Map(true);
+    void* output =  m_Data.m_Outputs[0]->Map(true);
+
+    switch(m_TargetType)
+    {
+        case DataType::QuantisedAsymm8:
+        {
+            QuantizeImpl<uint8_t>(input, output, m_NumElements, m_Scale, m_Offset);
+            break;
+        }
+        case DataType::QuantisedSymm16:
+        {
+            QuantizeImpl<int16_t>(input, output, m_NumElements, m_Scale, 0);
+            break;
+        }
+        default:
+        {
+            BOOST_ASSERT_MSG(false, "RefQuantizeWorkload: Non quantized output type encountered");
+        }
+    }
+
+    m_Data.m_Inputs[0]->Unmap();
+    m_Data.m_Outputs[0]->Unmap();
+}
+
+} //namespace armnn
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