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Diffstat (limited to 'src/core/cpu/kernels/softmax/impl/sve/list.h')
-rw-r--r-- | src/core/cpu/kernels/softmax/impl/sve/list.h | 223 |
1 files changed, 0 insertions, 223 deletions
diff --git a/src/core/cpu/kernels/softmax/impl/sve/list.h b/src/core/cpu/kernels/softmax/impl/sve/list.h deleted file mode 100644 index b4e1e1b186..0000000000 --- a/src/core/cpu/kernels/softmax/impl/sve/list.h +++ /dev/null @@ -1,223 +0,0 @@ -/* - * Copyright (c) 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. - */ -#ifndef SRC_CORE_SVE_KERNELS_SOFTMAX_LIST_H -#define SRC_CORE_SVE_KERNELS_SOFTMAX_LIST_H - -#if defined(ARM_COMPUTE_ENABLE_SVE) -#include "arm_compute/core/Types.h" -#include "arm_compute/core/utils/misc/Traits.h" -#include "src/core/NEON/SVEMath.h" -#include "src/core/NEON/wrapper/intrinsics/intrinsics.h" -#include <arm_sve.h> - -namespace arm_compute -{ -namespace cpu -{ -template <typename ScalarType> -void sve_logits_1d_max(const ITensor *in, ITensor *out, const Window &window); - -template <typename ScalarType> -void sve_softmax_logits_1d_float(const ITensor *in, const ITensor *max, void *const tmp, - ITensor *out, const float beta, bool is_log, const Window &window); - -#if defined(ARM_COMPUTE_ENABLE_SVE2) -template <typename ScalarType> -void sve_softmax_logits_1d_quantized(const ITensor *in, const ITensor *max, void *const tmp, - ITensor *out, float beta, bool is_log, const Window &window) -{ - const int start_x = in->info()->valid_region().anchor.x(); - const int input_width = in->info()->valid_region().shape.x(); - - const float scale_beta = -beta * in->info()->quantization_info().uniform().scale; - const auto scale_beta_vec = svdup_n_f32(scale_beta); - - Iterator in_it(in, window); - Iterator max_it(max, window); - Iterator out_it(out, window); - const auto all_true_pg = wrapper::svptrue<ScalarType>(); - using SVEType = typename wrapper::traits::sve_vector<ScalarType>::type; - - const int inc_1 = static_cast<int>(svcntw()); - const int inc_2 = static_cast<int>(2 * svcntw()); - const int inc_3 = static_cast<int>(3 * svcntw()); - - execute_window_loop(window, [&](const Coordinates &) - { - /* Get pointers */ - const auto in_ptr = reinterpret_cast<const ScalarType *>(in_it.ptr()) + start_x; - const auto out_ptr = reinterpret_cast<ScalarType *>(out_it.ptr()) + start_x; - const auto tmp_ptr = reinterpret_cast<float *>(tmp); - - float sum{}; - - /* Compute exponentials and sum */ - { - /* Get max value */ - const auto max_val = *reinterpret_cast<const ScalarType *>(max_it.ptr()); - const auto vec_max = wrapper::svdup_n(max_val); - - /* Init sum to zero */ - auto vec_sum_0 = svdup_n_f32(0.f); - auto vec_sum_1 = svdup_n_f32(0.f); - auto vec_sum_2 = svdup_n_f32(0.f); - auto vec_sum_3 = svdup_n_f32(0.f); - - /* Loop over row and compute exponentials and sum */ - int x = 0; - svbool_t pg = wrapper::svwhilelt<ScalarType>(x, input_width); - svbool_t pg_0 = svunpklo(svunpklo(pg)); - svbool_t pg_1 = svunpkhi(svunpklo(pg)); - svbool_t pg_2 = svunpklo(svunpkhi(pg)); - svbool_t pg_3 = svunpkhi(svunpkhi(pg)); - do - { - auto vec_elements = svld1(pg, in_ptr + x); - vec_elements = svsub_z(pg, vec_max, vec_elements); - - auto vec_elements_flt_0 = svcvt_f32_z(pg_0, svunpklo(svunpklo(vec_elements))); - auto vec_elements_flt_1 = svcvt_f32_z(pg_1, svunpkhi(svunpklo(vec_elements))); - auto vec_elements_flt_2 = svcvt_f32_z(pg_2, svunpklo(svunpkhi(vec_elements))); - auto vec_elements_flt_3 = svcvt_f32_z(pg_3, svunpkhi(svunpkhi(vec_elements))); - - if(is_log) - { - vec_elements_flt_0 = svmul_f32_z(pg_0, vec_elements_flt_0, scale_beta_vec); - vec_elements_flt_1 = svmul_f32_z(pg_1, vec_elements_flt_1, scale_beta_vec); - vec_elements_flt_2 = svmul_f32_z(pg_2, vec_elements_flt_2, scale_beta_vec); - vec_elements_flt_3 = svmul_f32_z(pg_3, vec_elements_flt_3, scale_beta_vec); - vec_sum_0 = svadd_f32_m(pg_0, vec_sum_0, svexp_f32_z(pg_0, vec_elements_flt_0)); - vec_sum_1 = svadd_f32_m(pg_1, vec_sum_1, svexp_f32_z(pg_1, vec_elements_flt_1)); - vec_sum_2 = svadd_f32_m(pg_2, vec_sum_2, svexp_f32_z(pg_2, vec_elements_flt_2)); - vec_sum_3 = svadd_f32_m(pg_3, vec_sum_3, svexp_f32_z(pg_3, vec_elements_flt_3)); - } - else - { - vec_elements_flt_0 = svexp_f32_z(pg_0, svmul_f32_z(pg_0, vec_elements_flt_0, scale_beta_vec)); - vec_elements_flt_1 = svexp_f32_z(pg_1, svmul_f32_z(pg_1, vec_elements_flt_1, scale_beta_vec)); - vec_elements_flt_2 = svexp_f32_z(pg_2, svmul_f32_z(pg_2, vec_elements_flt_2, scale_beta_vec)); - vec_elements_flt_3 = svexp_f32_z(pg_3, svmul_f32_z(pg_3, vec_elements_flt_3, scale_beta_vec)); - vec_sum_0 = svadd_f32_m(pg_0, vec_sum_0, vec_elements_flt_0); - vec_sum_1 = svadd_f32_m(pg_1, vec_sum_1, vec_elements_flt_1); - vec_sum_2 = svadd_f32_m(pg_2, vec_sum_2, vec_elements_flt_2); - vec_sum_3 = svadd_f32_m(pg_3, vec_sum_3, vec_elements_flt_3); - } - - svst1_f32(pg_0, tmp_ptr + x, vec_elements_flt_0); - svst1_f32(pg_1, tmp_ptr + x + inc_1, vec_elements_flt_1); - svst1_f32(pg_2, tmp_ptr + x + inc_2, vec_elements_flt_2); - svst1_f32(pg_3, tmp_ptr + x + inc_3, vec_elements_flt_3); - - x += wrapper::svcnt<ScalarType>(); - pg = wrapper::svwhilelt<ScalarType>(x, input_width); - pg_0 = svunpklo(svunpklo(pg)); - pg_1 = svunpkhi(svunpklo(pg)); - pg_2 = svunpklo(svunpkhi(pg)); - pg_3 = svunpkhi(svunpkhi(pg)); - } - while(svptest_any(all_true_pg, pg)); - - /* Reduce sum */ - const auto vec_sum = svadd_f32_z(all_true_pg, svadd_f32_z(all_true_pg, vec_sum_0, vec_sum_1), svadd_f32_z(all_true_pg, vec_sum_2, vec_sum_3)); - sum = svaddv_f32(all_true_pg, vec_sum); - - /* Run remaining elements */ - x = 0; - if(is_log) - { - sum = std::log(sum); - } - else - { - sum = 256.f / sum; - } - } - - /* Normalize exponentials */ - { - constexpr bool is_qasymm8_signed = std::is_same<ScalarType, qasymm8_signed_t>::value; - /* Loop over row and compute softmax */ - int x = 0; - svbool_t pg = wrapper::svwhilelt<ScalarType>(x, input_width); - svbool_t pg_0 = svunpklo(svunpklo(pg)); - svbool_t pg_1 = svunpkhi(svunpklo(pg)); - svbool_t pg_2 = svunpklo(svunpkhi(pg)); - svbool_t pg_3 = svunpkhi(svunpkhi(pg)); - do - { - auto vec_in_0 = svld1_f32(pg_0, tmp_ptr + x); - auto vec_in_1 = svld1_f32(pg_1, tmp_ptr + x + inc_1); - auto vec_in_2 = svld1_f32(pg_2, tmp_ptr + x + inc_2); - auto vec_in_3 = svld1_f32(pg_3, tmp_ptr + x + inc_3); - - svfloat32_t res_0{}; - svfloat32_t res_1{}; - svfloat32_t res_2{}; - svfloat32_t res_3{}; - - if(is_log) - { - res_0 = svsub_f32_z(pg_0, vec_in_0, svdup_n_f32(sum)); - res_1 = svsub_f32_z(pg_1, vec_in_1, svdup_n_f32(sum)); - res_2 = svsub_f32_z(pg_2, vec_in_2, svdup_n_f32(sum)); - res_3 = svsub_f32_z(pg_3, vec_in_3, svdup_n_f32(sum)); - } - else - { - res_0 = svmul_f32_z(pg_0, vec_in_0, svdup_n_f32(sum)); - res_1 = svmul_f32_z(pg_1, vec_in_1, svdup_n_f32(sum)); - res_2 = svmul_f32_z(pg_2, vec_in_2, svdup_n_f32(sum)); - res_3 = svmul_f32_z(pg_3, vec_in_3, svdup_n_f32(sum)); - - if(is_qasymm8_signed) - { - const auto offset_vec = svdup_n_f32(128.f); - res_0 = svsub_z(pg_0, vec_in_0, offset_vec); - res_1 = svsub_z(pg_1, vec_in_1, offset_vec); - res_2 = svsub_z(pg_2, vec_in_2, offset_vec); - res_3 = svsub_z(pg_3, vec_in_3, offset_vec); - } - } - - // Store value - const auto out = convert_float_to_int<SVEType>(res_0, res_1, res_2, res_3); - svst1(pg, out_ptr + x, out); - x += wrapper::svcnt<ScalarType>(); - pg = wrapper::svwhilelt<ScalarType>(x, input_width); - pg_0 = svunpklo(svunpklo(pg)); - pg_1 = svunpkhi(svunpklo(pg)); - pg_2 = svunpklo(svunpkhi(pg)); - pg_3 = svunpkhi(svunpkhi(pg)); - } - while(svptest_any(all_true_pg, pg)); - } - }, - in_it, max_it, out_it); -} -#endif /* defined(ARM_COMPUTE_ENABLE_SVE2) */ -} // namespace cpu -} // namespace arm_compute -#endif /* defined(ARM_COMPUTE_ENABLE_SVE) */ - -#endif /* SRC_CORE_SVE_KERNELS_SOFTMAX_LIST_H */ |