| /* |
| * Copyright (c) 2020-2022 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 neon_qsymm16_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 if(act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) |
| { |
| // De-quantize |
| const auto vin_deq = vdequantize_int16(vin, qi_in.scale); |
| // Perform activation |
| const float32x4x2_t tmp_dep = |
| { |
| { |
| wrapper::vmin(va_f32, wrapper::vmax(vb_f32, vin_deq.val[0])), |
| wrapper::vmin(va_f32, wrapper::vmax(vb_f32, vin_deq.val[1])) |
| } |
| }; |
| // 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 if(act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) |
| { |
| float tmp_f = dequantize_qsymm16(in, qi_in.scale); |
| tmp_f = std::min<float>(a_f32, std::max<float>(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 |