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diff --git a/src/core/NEON/kernels/convolution/common/qsymm8.cpp b/src/core/NEON/kernels/convolution/common/qsymm8.cpp
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+/*
+ * Copyright (c) 2019 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 <algorithm>
+#include <cassert>
+#include <cstdint>
+#include <cmath>
+#include <limits>
+
+#include "qsymm8.hpp"
+
+namespace qsymm8 {
+#if(__ANDROID__ || BARE_METAL)
+template <typename T> T round(T val) { return ::round(val); }
+template <typename T> T exp2(T val) { return ::exp2(val); }
+template <typename T> T log2(T val) { return ::log2(val); }
+#else /* (__ANDROID__ || BARE_METAL) */
+template <typename T> T round(T val) { return std::round(val); }
+template <typename T> T exp2(T val) { return std::exp2(val); }
+template <typename T> T log2(T val) { return std::log2(val); }
+#endif /* (__ANDROID__ || BARE_METAL) */
+
+// Symmetric quantization
+int8_t QSymm8Params::quantize(float value) const
+{
+ const float transformed = value / scale;
+ return static_cast<int8_t>(round(std::max(-128.0f, std::min(127.0f, transformed))));
+}
+
+float QSymm8Params::dequantize(const int8_t value) const
+{
+ return scale * (static_cast<float>(value));
+}
+
+QSymm8RescaleParams QSymm8RescaleParams::make_rescale_params(
+ const QSymm8Params& weight_quant,
+ const QSymm8Params& input_quant,
+ const QSymm8Params& output_quant
+)
+{
+ // Based on the gemmlowp approach: https://github.com/google/gemmlowp/blob/master/doc/quantization_example.cc
+ const float rescale = weight_quant.scale * input_quant.scale / output_quant.scale;
+ const float shiftf = round(log2(0.5f / rescale));
+ const float multf = exp2(31.0f + shiftf)*rescale;
+
+ int64_t shift = static_cast<int64_t>(shiftf);
+ int64_t mult = static_cast<int64_t>(multf);
+
+ if (mult == (1ll << 31))
+ {
+ mult /= 2;
+ shift--;
+ }
+
+ assert(shift >= 0);
+ assert(mult <= std::numeric_limits<int32_t>::max());
+
+ return QSymm8RescaleParams(
+ static_cast<int32_t>(shift),
+ static_cast<int32_t>(mult),
+ rescale
+ );
+}
+
+QSymm8RescaleParams::QSymm8RescaleParams(int32_t shift, int32_t multi, float rescale)
+ : shift(shift), multiplier(multi), rescale(rescale)
+{
+}
+
+// Symmetric per-channel quantization
+int8_t QSymm8PerChannelParams::quantize(float value, float scale) const
+{
+ const float transformed = value / scale;
+ return static_cast<int8_t>(round(std::max(-128.0f, std::min(127.0f, transformed))));
+}
+
+float QSymm8PerChannelParams::dequantize(const int8_t value, float scale) const
+{
+ return scale * (static_cast<float>(value));
+}
+
+QSymm8PerChannelRescaleParams QSymm8PerChannelRescaleParams::make_rescale_params(
+ const QSymm8PerChannelParams& weight_quant,
+ const QSymm8PerChannelParams& input_quant,
+ const QSymm8PerChannelParams& output_quant
+)
+{
+ std::vector<int32_t> shifts;
+ std::vector<int32_t> mults;
+ std::vector<float> rescales;
+
+ for(size_t s = 0; s< input_quant.scales.size(); s++)
+ {
+ // Based on the gemmlowp approach: https://github.com/google/gemmlowp/blob/master/doc/quantization_example.cc
+ const float rescale = weight_quant.scales[s] * input_quant.scales[s] / output_quant.scales[s];
+ const float shiftf = round(log2(0.5f / rescale));
+ const float multf = exp2(31.0f + shiftf)*rescale;
+
+ int64_t shift = static_cast<int64_t>(shiftf);
+ int64_t mult = static_cast<int64_t>(multf);
+
+ if (mult == (1ll << 31))
+ {
+ mult /= 2;
+ shift--;
+ }
+
+ assert(shift >= 0);
+ assert(mult <= std::numeric_limits<int32_t>::max());
+
+ shifts.push_back(static_cast<int32_t>(shift));
+ mults.push_back(static_cast<int32_t>(mult));
+ rescales.push_back(rescale);
+ }
+
+ return QSymm8PerChannelRescaleParams(shifts, mults, rescales);
+
+}
+
+QSymm8PerChannelRescaleParams QSymm8PerChannelRescaleParams::make_rescale_params(
+ const QSymm8PerChannelParams& weight_quant,
+ const qasymm8::QAsymm8Params& input_quant,
+ const qasymm8::QAsymm8Params& output_quant
+)
+{
+ std::vector<int32_t> shifts;
+ std::vector<int32_t> mults;
+ std::vector<float> rescales;
+
+ for(size_t s = 0; s< weight_quant.scales.size(); s++)
+ {
+ // Based on the gemmlowp approach: https://github.com/google/gemmlowp/blob/master/doc/quantization_example.cc
+ const float rescale = weight_quant.scales[s] * input_quant.scale / output_quant.scale;
+ const float shiftf = round(log2(0.5f / rescale));
+ const float multf = exp2(31.0f + shiftf)*rescale;
+
+ int64_t shift = static_cast<int64_t>(shiftf);
+ int64_t mult = static_cast<int64_t>(multf);
+
+ if (mult == (1ll << 31))
+ {
+ mult /= 2;
+ shift--;
+ }
+
+ assert(shift >= 0);
+ assert(mult <= std::numeric_limits<int32_t>::max());
+
+ shifts.push_back(static_cast<int32_t>(shift));
+ mults.push_back(static_cast<int32_t>(mult));
+ rescales.push_back(rescale);
+ }
+
+ return QSymm8PerChannelRescaleParams(shifts, mults, rescales);
+
+}
+
+QSymm8PerChannelRescaleParams::QSymm8PerChannelRescaleParams(std::vector<int32_t>& shifts, std::vector<int32_t>& multipliers, std::vector<float>& rescales)
+ : shifts(shifts), multipliers(multipliers), rescales(rescales)
+{
+}
+
+
+} // namespace qasymm8