| /* |
| * Copyright (c) 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/TensorInfo.h" |
| #include "src/cpu/kernels/select/generic/neon/impl.h" |
| #include "src/core/NEON/NEAsymm.h" |
| |
| #include <arm_neon.h> |
| #include <map> |
| #include <string> |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| template <typename ScalarType, typename VectorType> |
| void select_op(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window, |
| const int window_step_x, const int window_start_x, const int window_end_x, const int limit, VectorType (*condition_conversion)(const uint8_t *)) |
| { |
| Window win = window; |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Iterator condition(cond, win); |
| Iterator input1(in1, win); |
| Iterator input2(in2, win); |
| Iterator output(out, win); |
| |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr()); |
| const auto condition_ptr = reinterpret_cast<const uint8_t *>(condition.ptr()); |
| const auto input1_ptr = reinterpret_cast<const ScalarType *>(input1.ptr()); |
| const auto input2_ptr = reinterpret_cast<const ScalarType *>(input2.ptr()); |
| |
| int x = window_start_x; |
| for(; x <= limit; x += window_step_x) |
| { |
| const auto c = (*condition_conversion)(condition_ptr + x); |
| const auto a = wrapper::vloadq(input1_ptr + x); |
| const auto b = wrapper::vloadq(input2_ptr + x); |
| wrapper::vstore(output_ptr + x, wrapper::vbsl(c, a, b)); |
| } |
| for(; x < window_end_x; ++x) |
| { |
| const auto c = *(condition_ptr + x); |
| const auto a = *(input1_ptr + x); |
| const auto b = *(input2_ptr + x); |
| *(output_ptr + x) = static_cast<bool>(c) ? a : b; |
| } |
| }, |
| condition, input1, input2, output); |
| } |
| |
| template <typename ScalarType, typename VectorType> |
| void select_op_8(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) |
| { |
| const auto window_step_x = 16 / sizeof(ScalarType); |
| const auto window_start_x = static_cast<int>(window.x().start()); |
| const auto window_end_x = static_cast<int>(window.x().end()); |
| |
| select_op<ScalarType, VectorType>(cond, in1, in2, out, window, window_step_x, window_start_x, window_end_x, window_end_x - window_step_x, [](const uint8_t *condition_ptr) -> VectorType |
| { |
| static const auto zero = wrapper::vdup_n(static_cast<uint8_t>(0), arm_compute::wrapper::traits::vector_128_tag()); |
| return wrapper::vcgt(wrapper::vloadq(condition_ptr), zero); |
| }); |
| } |
| |
| template <typename ScalarType, typename VectorType> |
| void select_op_16(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) |
| { |
| const auto window_step_x = 16 / sizeof(ScalarType); |
| const auto window_start_x = static_cast<int>(window.x().start()); |
| const auto window_end_x = static_cast<int>(window.x().end()); |
| |
| select_op<ScalarType, VectorType>(cond, in1, in2, out, window, window_step_x, window_start_x, window_end_x, window_end_x - window_step_x, [](const uint8_t *condition_ptr) -> VectorType |
| { |
| static const auto zero = wrapper::vdup_n(static_cast<uint16_t>(0), arm_compute::wrapper::traits::vector_128_tag()); |
| return wrapper::vcgt(wrapper::vmovl(wrapper::vload(condition_ptr)), zero); |
| }); |
| } |
| |
| template <typename ScalarType, typename VectorType> |
| void select_op_32(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) |
| { |
| const auto window_step_x = 16 / sizeof(ScalarType); |
| const auto window_start_x = static_cast<int>(window.x().start()); |
| const auto window_end_x = static_cast<int>(window.x().end()); |
| |
| select_op<ScalarType, VectorType>(cond, in1, in2, out, window, window_step_x, window_start_x, window_end_x, window_end_x - window_step_x, [](const uint8_t *condition_ptr) -> VectorType |
| { |
| static const auto zero = wrapper::vdup_n(static_cast<uint32_t>(0), arm_compute::wrapper::traits::vector_128_tag()); |
| return wrapper::vcgt(wrapper::vmovl(wrapper::vgetlow(wrapper::vmovl(wrapper::vload(condition_ptr)))), zero); |
| }); |
| } |
| |
| template <typename ScalarType> |
| void select_op_not_same_rank(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) |
| { |
| ARM_COMPUTE_UNUSED(window); |
| |
| auto output_ptr = reinterpret_cast<ScalarType *>(out->buffer()); |
| const auto condition_ptr = reinterpret_cast<const uint8_t *>(cond->buffer()); |
| const auto input1_ptr = reinterpret_cast<const ScalarType *>(in1->buffer()); |
| const auto input2_ptr = reinterpret_cast<const ScalarType *>(in2->buffer()); |
| |
| const int outer_size = cond->info()->total_size() / cond->info()->element_size(); |
| const int inner_size = (in1->info()->total_size() / in1->info()->element_size()) / outer_size; |
| int offset = 0; |
| const int step = 16 / in1->info()->element_size(); |
| |
| for(int i = 0; i < outer_size; ++i) |
| { |
| int x = offset; |
| const auto input_ptr = static_cast<bool>(*(condition_ptr + i)) ? input1_ptr : input2_ptr; |
| for(; x <= offset + inner_size - step; x += step) |
| { |
| wrapper::vstore(output_ptr + x, wrapper::vloadq(input_ptr + x)); |
| } |
| if(x <= offset + inner_size - (step / 2)) |
| { |
| wrapper::vstore(output_ptr + x, wrapper::vload(input_ptr + x)); |
| x += step / 2; |
| } |
| for(; x < offset + inner_size; ++x) |
| { |
| *(output_ptr + x) = *(input_ptr + x); |
| } |
| offset += inner_size; |
| } |
| } |
| |
| template void select_op_32<float, uint32x4_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_not_same_rank<float>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_8<int8_t, uint8x16_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_16<int16_t, uint16x8_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| #if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) |
| template void select_op_16<float16_t, uint16x8_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| #endif /* (__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */ |
| |
| template void select_op_32<int32_t, uint32x4_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_not_same_rank<int8_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_not_same_rank<int16_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| #if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) |
| template void select_op_not_same_rank<float16_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| #endif /* (__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */ |
| |
| template void select_op_not_same_rank<int32_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_8<uint8_t, uint8x16_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_16<uint16_t, uint16x8_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_32<uint32_t, uint32x4_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_not_same_rank<uint8_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_not_same_rank<uint16_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| template void select_op_not_same_rank<uint32_t>(const ITensor *cond, const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); |
| |
| } // namespace cpu |
| |
| } // namespace arm_compute |