From f30f7d32b22020f80b21da7b008d8302cee9d395 Mon Sep 17 00:00:00 2001
From: Derek Lamberti <derek.lamberti@arm.com>
Date: Tue, 9 Apr 2019 10:25:02 +0100
Subject: IVGCVSW-2946 RefElementwiseWorkload configures prior to first execute

+ Added PostAllocationConfigure() method to workload interface
+ Elementwise function now deduces types based on Functor
- Replaced RefComparisonWorkload with RefElementwiseWorkload specialization
+ Fixed up unit tests and minor formatting

Change-Id: I33d08797767bba01cf4efb2904920ce0f950a4fe
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
---
 src/backends/reference/workloads/Encoders.hpp | 66 +++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 src/backends/reference/workloads/Encoders.hpp

(limited to 'src/backends/reference/workloads/Encoders.hpp')

diff --git a/src/backends/reference/workloads/Encoders.hpp b/src/backends/reference/workloads/Encoders.hpp
new file mode 100644
index 0000000000..90300aa0f7
--- /dev/null
+++ b/src/backends/reference/workloads/Encoders.hpp
@@ -0,0 +1,66 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "BaseIterator.hpp"
+
+namespace armnn
+{
+
+template<typename T>
+std::unique_ptr<Encoder<T>> MakeEncoder(const TensorInfo& info, void* data);
+
+template<>
+std::unique_ptr<Encoder<float>> MakeEncoder(const TensorInfo& info, void* data)
+{
+    switch(info.GetDataType())
+    {
+        case armnn::DataType::QuantisedAsymm8:
+        {
+            return std::make_unique<QASymm8Encoder>(
+                static_cast<uint8_t*>(data),
+                info.GetQuantizationScale(),
+                info.GetQuantizationOffset());
+        }
+        case armnn::DataType::QuantisedSymm16:
+        {
+            return std::make_unique<QSymm16Encoder>(
+                static_cast<int16_t*>(data),
+                info.GetQuantizationScale(),
+                info.GetQuantizationOffset());
+        }
+        case armnn::DataType::Float32:
+        {
+            return std::make_unique<FloatEncoder>(static_cast<float*>(data));
+        }
+        default:
+        {
+            BOOST_ASSERT_MSG(false, "Cannot encode from float. Not supported target Data Type!");
+            break;
+        }
+    }
+    return nullptr;
+}
+
+template<>
+std::unique_ptr<Encoder<bool>> MakeEncoder(const TensorInfo& info, void* data)
+{
+    switch(info.GetDataType())
+    {
+        case armnn::DataType::Boolean:
+        {
+            return std::make_unique<BooleanEncoder>(static_cast<uint8_t*>(data));
+        }
+        default:
+        {
+            BOOST_ASSERT_MSG(false, "Cannot encode from boolean. Not supported target Data Type!");
+            break;
+        }
+    }
+    return nullptr;
+}
+
+} //namespace armnn
\ No newline at end of file
-- 
cgit v1.2.1