From e03802edd37229a1868bacedd7571cc443810caf Mon Sep 17 00:00:00 2001
From: Usama Arif <usama.arif@arm.com>
Date: Mon, 11 Mar 2019 12:20:20 +0000
Subject: COMPMID-1936: Add support for QASYMM8 in CLQuantizeLayer.

Change-Id: I9aa1f1f1753bcdee6a74ec15b4fb366f823788b4
Signed-off-by: Usama Arif <usama.arif@arm.com>
Reviewed-on: https://review.mlplatform.org/c/850
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
---
 tests/validation/reference/QuantizationLayer.cpp | 50 +-----------------------
 tests/validation/reference/QuantizationLayer.h   |  3 --
 2 files changed, 1 insertion(+), 52 deletions(-)

(limited to 'tests/validation/reference')

diff --git a/tests/validation/reference/QuantizationLayer.cpp b/tests/validation/reference/QuantizationLayer.cpp
index 3d6c5bc13d..2f3348178c 100644
--- a/tests/validation/reference/QuantizationLayer.cpp
+++ b/tests/validation/reference/QuantizationLayer.cpp
@@ -33,55 +33,6 @@ namespace validation
 {
 namespace reference
 {
-template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
-SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src)
-{
-    // Create reference
-    SimpleTensor<uint8_t> dst{ src.shape(), DataType::U8 };
-
-    const int width       = src.shape().x();
-    const int height      = src.shape().y();
-    const int depth       = src.shape().z();
-    const int stride_w    = width * height * depth;
-    const int num_batches = src.shape().total_size_upper(3);
-
-    for(int k = 0; k < num_batches; ++k)
-    {
-        // Compute min and max of the 3D tensor
-        float min = src[k * stride_w];
-        float max = src[k * stride_w];
-
-        // Look for min and max values
-        for(int i = 1; i < stride_w; ++i)
-        {
-            float val = src[i + k * stride_w];
-            min       = std::min(min, val);
-            max       = std::max(max, val);
-        }
-
-        // Saturate the result in case min = max
-        if(min == max)
-        {
-            min = 0.0f;
-            max = 1.0f;
-        }
-
-        const float range = max - min;
-
-        for(int i = 0; i < stride_w; ++i)
-        {
-            // map values to range [0.0, 1.0]
-            float       val        = src[i + k * stride_w];
-            const float normalized = (val - min) / range;
-            dst[i + k * stride_w]  = static_cast<uint8_t>(std::min(255.0f, normalized * 256.0f));
-        }
-    }
-
-    return dst;
-}
-
-template SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<float> &src);
-
 template <typename T>
 SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src, const QuantizationInfo quantization_info)
 {
@@ -98,6 +49,7 @@ SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src, const Quant
     }
     return dst;
 }
+
 template SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<half> &src, const QuantizationInfo quantization_info);
 template SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<float> &src, const QuantizationInfo quantization_info);
 } // namespace reference
diff --git a/tests/validation/reference/QuantizationLayer.h b/tests/validation/reference/QuantizationLayer.h
index 60d8ea4023..2d136908af 100644
--- a/tests/validation/reference/QuantizationLayer.h
+++ b/tests/validation/reference/QuantizationLayer.h
@@ -35,9 +35,6 @@ namespace validation
 {
 namespace reference
 {
-template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type = 0>
-SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src);
-
 template <typename T>
 SimpleTensor<uint8_t> quantization_layer(const SimpleTensor<T> &src, const QuantizationInfo quantization_info);
 } // namespace reference
-- 
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