| /* |
| * 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 "src/core/NEON/SVEMath.h" |
| |
| #include <cmath> |
| #include <cstddef> |
| |
| #if defined(ARM_COMPUTE_ENABLE_SVE) |
| #include <arm_sve.h> |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| void fp32_sve_batch_normalization(ITensor *src, ITensor *dst, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, |
| float epsilon, ActivationLayerInfo &act_info, const Window &window) |
| { |
| const auto window_start_x = static_cast<int>(window.x().start()); |
| const auto window_end_x = static_cast<int>(window.x().end()); |
| |
| 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 auto input_mean = reinterpret_cast<const float *>(mean->ptr_to_element(Coordinates(0, 0))); |
| const auto input_var = reinterpret_cast<const float *>(var->ptr_to_element(Coordinates(0, 0))); |
| const auto input_gamma = (gamma != nullptr) ? reinterpret_cast<const float *>(gamma->ptr_to_element(Coordinates(0, 0))) : nullptr; |
| const auto input_beta = (beta != nullptr) ? reinterpret_cast<const float *>(beta->ptr_to_element(Coordinates(0, 0))) : nullptr; |
| |
| const auto epsilon_vec = svdup_n_f32(epsilon); |
| const auto const_1 = svdup_n_f32(1.f); |
| const auto const_0 = svdup_n_f32(0.f); |
| const auto va = svdup_n_f32(act_info.a()); |
| const auto vb = svdup_n_f32(act_info.b()); |
| execute_window_loop(win_collapsed, [&](const Coordinates &) |
| { |
| const auto input_ptr = reinterpret_cast<const float *>(input.ptr()); |
| const auto output_ptr = reinterpret_cast<float *>(output.ptr()); |
| |
| // Compute S elements per iteration |
| int x = window_start_x; |
| svbool_t pg = svwhilelt_b32(x, window_end_x); |
| do |
| { |
| // Conctruct vectors |
| const auto mean_vec = svld1_f32(pg, input_mean + x); |
| const auto var_vec = svld1_f32(pg, input_var + x); |
| const auto gamma_vec = (input_gamma != nullptr) ? svld1_f32(pg, input_gamma + x) : const_1; |
| const auto beta_vec = (input_beta != nullptr) ? svld1_f32(pg, input_beta + x) : const_0; |
| |
| // Calculate denominator |
| const auto tmp = svadd_f32_z(pg, var_vec, epsilon_vec); |
| auto denominator = svrsqrte_f32(tmp); |
| denominator = svmul_f32_z(pg, svrsqrts_f32(svmul_f32_z(pg, tmp, denominator), denominator), denominator); |
| denominator = svmul_f32_z(pg, svrsqrts_f32(svmul_f32_z(pg, tmp, denominator), denominator), denominator); |
| |
| // Calculate x bar |
| const auto numerator = svsub_f32_z(pg, svld1_f32(pg, input_ptr + x), mean_vec); |
| const auto x_bar = svmul_f32_z(pg, numerator, denominator); |
| auto res = svmla_f32_z(pg, beta_vec, x_bar, gamma_vec); |
| |
| // Perform fused activation |
| if(act_info.enabled()) |
| { |
| if(act_info.activation() == ActivationLayerInfo::ActivationFunction::RELU) |
| { |
| res = svmax_f32_z(pg, const_0, res); |
| } |
| else if(act_info.activation() == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU) |
| { |
| res = svmin_f32_z(pg, va, svmax_f32_z(pg, const_0, res)); |
| } |
| else if(act_info.activation() == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) |
| { |
| res = svmin_f32_z(pg, va, svmax_f32_z(pg, vb, res)); |
| } |
| } |
| |
| // Store results |
| svst1_f32(pg, output_ptr + x, res); |
| |
| x += svcntw(); |
| pg = svwhilelt_b32(x, window_end_x); |
| } |
| while(svptest_any(svptrue_b32(), pg)); |
| }, |
| input, output); |
| } |
| } // namespace cpu |
| } // namespace arm_compute |
| #endif // ENABLE_SVE |