1 files changed, 0 insertions, 87 deletions
diff --git a/tests/validation/CPP/QuantizationLayer.cpp b/tests/validation/CPP/QuantizationLayer.cpp
deleted file mode 100644
index d7ce490209..0000000000
--- a/tests/validation/CPP/QuantizationLayer.cpp
+++ /dev/null
@@ -1,87 +0,0 @@
-/*
- * Copyright (c) 2017 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#include "QuantizationLayer.h"
-
-#include <cmath>
-
-namespace arm_compute
-{
-namespace test
-{
-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);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute