COMPMID-439: Implement NEON Quantization Layer.
Change-Id: Iefbb421915e56d880d6a3e20c113913560f6ca10
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79934
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/tests/validation_new/CPP/QuantizationLayer.cpp b/tests/validation_new/CPP/QuantizationLayer.cpp
new file mode 100644
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+++ b/tests/validation_new/CPP/QuantizationLayer.cpp
@@ -0,0 +1,85 @@
+/*
+ * 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"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+void compute_min_max(const SimpleTensor<float> &src, float *min, float *max)
+{
+ // Set min and max to first pixel
+ float tmp_min = src[0];
+ float tmp_max = src[0];
+
+ // Look for min and max values
+ for(int i = 1; i < src.num_elements(); ++i)
+ {
+ if(src[i] < tmp_min)
+ {
+ tmp_min = src[i];
+ }
+ if(src[i] > tmp_max)
+ {
+ tmp_max = src[i];
+ }
+ }
+
+ *min = tmp_min;
+ *max = tmp_max;
+}
+
+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 };
+
+ // Compute min and max of the tensor using Min-Max layer
+ float min = 0.f;
+ float max = 0.f;
+
+ compute_min_max(src, &min, &max);
+
+ const float range = max - min;
+
+ for(int i = 0; i < src.num_elements(); ++i)
+ {
+ // map values to range [0.0, 1.0]
+ const float normalized = (src[i] - min) / range;
+ dst[i] = 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