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-rw-r--r--src/core/cpu/kernels/activation/neon/qsymm16.cpp138
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diff --git a/src/core/cpu/kernels/activation/neon/qsymm16.cpp b/src/core/cpu/kernels/activation/neon/qsymm16.cpp
deleted file mode 100644
index 54b41820f2..0000000000
--- a/src/core/cpu/kernels/activation/neon/qsymm16.cpp
+++ /dev/null
@@ -1,138 +0,0 @@
-/*
- * Copyright (c) 2020-2021 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 "arm_compute/core/Helpers.h"
-#include "arm_compute/core/ITensorPack.h"
-#include "arm_compute/core/Window.h"
-#include "arm_compute/core/experimental/Types.h"
-#include "src/core/NEON/NEMath.h"
-#include "src/core/NEON/NESymm.h"
-#include "src/core/NEON/wrapper/wrapper.h"
-
-#include <arm_neon.h>
-#include <cmath>
-#include <cstddef>
-
-namespace arm_compute
-{
-namespace cpu
-{
-void qsymm16_neon_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window)
-{
- constexpr int window_step_x = 8;
- const auto window_start_x = static_cast<int>(window.x().start());
- const auto window_end_x = static_cast<int>(window.x().end());
- const ActivationLayerInfo::ActivationFunction act = act_info.activation();
-
- Window win_collapsed = window.collapse_if_possible(window, Window::DimZ);
- win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1));
-
- Iterator input(src, win_collapsed);
- Iterator output(dst, win_collapsed);
-
- const UniformQuantizationInfo qi_in = src->info()->quantization_info().uniform();
- const UniformQuantizationInfo qi_out = dst->info()->quantization_info().uniform();
- const auto vconst_1 = vdupq_n_f32(1.f);
- const float32x4_t va_f32 = vdupq_n_f32(act_info.a());
- const float32x4_t vb_f32 = vdupq_n_f32(act_info.b());
- const float a_f32 = act_info.a();
- const float b_f32 = act_info.b();
-
- execute_window_loop(win_collapsed, [&](const Coordinates &)
- {
- const auto input_ptr = reinterpret_cast<const qsymm16_t *>(input.ptr());
- const auto output_ptr = reinterpret_cast<qsymm16_t *>(output.ptr());
-
- wrapper::traits::neon_bitvector_t<qsymm16_t, wrapper::traits::BitWidth::W128> tmp;
- ARM_COMPUTE_UNUSED(tmp);
-
- // Compute S elements per iteration
- int x = window_start_x;
- for(; x <= (window_end_x - window_step_x); x += window_step_x)
- {
- const auto vin = wrapper::vloadq(input_ptr + x);
- if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC)
- {
- // De-quantize
- const auto vin_deq = vdequantize_int16(vin, qi_in.scale);
- // Perform activation
- const float32x4x2_t tmp_dep =
- {
- {
- wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[0])))),
- wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[1])))),
- }
- };
- // Re-quantize to new output space
- tmp = vquantize_int16(tmp_dep, qi_out.scale);
- }
- else if(act == ActivationLayerInfo::ActivationFunction::TANH)
- {
- // De-quantize
- const auto vin_deq = vdequantize_int16(vin, qi_in.scale);
- // Perform activation
- const float32x4x2_t tmp_dep =
- {
- {
- wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[0], vb_f32))),
- wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[1], vb_f32))),
- }
- };
- // Re-quantize to new output space
- tmp = vquantize_int16(tmp_dep, qi_out.scale);
- }
- else
- {
- ARM_COMPUTE_ERROR("Unsupported activation function");
- }
- wrapper::vstore(output_ptr + x, tmp);
- }
-
- // Compute left-over elements
- for(; x < window_end_x; ++x)
- {
- qsymm16_t in = *(reinterpret_cast<const qsymm16_t *>(input_ptr + x));
- qsymm16_t tmp = 0;
- if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC)
- {
- float tmp_f = dequantize_qsymm16(in, qi_in.scale);
- tmp_f = 1.f / (1.f + std::exp(-tmp_f));
- tmp = quantize_qsymm16(tmp_f, qi_out);
- }
- else if(act == ActivationLayerInfo::ActivationFunction::TANH)
- {
- float tmp_f = dequantize_qsymm16(in, qi_in.scale);
- tmp_f = a_f32 * std::tanh(b_f32 * tmp_f);
- tmp = quantize_qsymm16(tmp_f, qi_out);
- }
- else
- {
- ARM_COMPUTE_ERROR("Unsupported activation function");
- }
- *(output_ptr + x) = tmp;
- }
- },
- input, output);
-}
-} // namespace cpu
-} // namespace arm_compute