diff options
Diffstat (limited to 'src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp | 410 |
1 files changed, 0 insertions, 410 deletions
diff --git a/src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp b/src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp deleted file mode 100644 index cf8411c55f..0000000000 --- a/src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp +++ /dev/null @@ -1,410 +0,0 @@ -/* - * Copyright (c) 2016-2019 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/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/CPP/Validate.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> -#include <tuple> - -namespace arm_compute -{ -namespace -{ -Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input0); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1); - if(is_data_type_quantized_asymmetric(input0->data_type())) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32); - } - else - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, output); - } - - ARM_COMPUTE_RETURN_ERROR_ON(input0->num_dimensions() == input1->num_dimensions()); - ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(2) != input1->dimension(1)); - ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(DataLayoutDimension::HEIGHT) != output->dimension(DataLayoutDimension::HEIGHT)); - ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(DataLayoutDimension::WIDTH) != output->dimension(DataLayoutDimension::WIDTH)); - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output) -{ - const unsigned int num_elems_read_per_iteration = 16 / input0->element_size(); - - Window win = calculate_max_window(*input0, Steps(num_elems_read_per_iteration)); - - AccessWindowHorizontal input0_access(input0, 0, num_elems_read_per_iteration); - AccessWindowHorizontal input1_access(input1, 0, num_elems_read_per_iteration); - AccessWindowStatic output_access(output, 0, 0, output->dimension(0), output->dimension(1)); - - bool window_changed = update_window_and_padding(win, input0_access, input1_access, output_access); - - output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape())); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} -} // namespace - -template <typename I0, typename I1, typename O> -void NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply(const Window &window_in, const Window &window_w, const Window &window_out) -{ - ARM_COMPUTE_ERROR("Unsupported data types"); - ARM_COMPUTE_UNUSED(window_in); - ARM_COMPUTE_UNUSED(window_w); - ARM_COMPUTE_UNUSED(window_out); -} - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -template <> -void NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply<half, half, half>(const Window &window_in, - const Window &window_w, - const Window &window_out) -{ - Iterator in(_input0, window_in); - Iterator in2(_input1, window_w); - Iterator out(_output, window_out); - - const int input_w = _input0->info()->dimension(0); - const int input_h = _input0->info()->dimension(1); - const int input_stride_x = _input0->info()->strides_in_bytes().x(); - const int weights_stride_x = _input1->info()->strides_in_bytes().x(); - const int weights_stride_y = _input1->info()->strides_in_bytes().y(); - const int output_stride_x = _output->info()->strides_in_bytes().x(); - - execute_window_loop(window_in, [&](const Coordinates & id) - { - // Get pointers - const uint8_t *const input_ptr = in.ptr(); - const uint8_t *const weights_ptr = in2.ptr() + id.z() * weights_stride_y; - auto output_ptr = reinterpret_cast<__fp16 *>(out.ptr() + (id.y() + id.z() * input_h) * output_stride_x); - - float16x8_t row_dot = vdupq_n_f16(0.f); - for(int i = 0; i < input_w; i += 8) - { - const auto input = vld1q_f16(reinterpret_cast<const __fp16 *>(input_ptr + i * input_stride_x)); - const auto weights = vld1q_f16(reinterpret_cast<const __fp16 *>(weights_ptr + i * weights_stride_x)); - row_dot = vaddq_f16(row_dot, vmulq_f16(input, weights)); - } - - auto temp = vadd_f16(vget_high_f16(row_dot), vget_low_f16(row_dot)); - temp = vpadd_f16(temp, temp); - temp = vpadd_f16(temp, temp); - - *output_ptr = vget_lane_f16(temp, 0); - }, - in, in2, out); -} -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - -template <> -void NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply<float, float, float>(const Window &window_in, - const Window &window_w, - const Window &window_out) -{ - Iterator in(_input0, window_in); - Iterator in2(_input1, window_w); - Iterator out(_output, window_out); - - const int input_w = _input0->info()->dimension(0); - const int input_h = _input0->info()->dimension(1); - const int input_stride_x = _input0->info()->strides_in_bytes().x(); - const int weights_stride_x = _input1->info()->strides_in_bytes().x(); - const int weights_stride_y = _input1->info()->strides_in_bytes().y(); - const int output_stride_x = _output->info()->strides_in_bytes().x(); - - execute_window_loop(window_in, [&](const Coordinates & id) - { - // Get pointers - const uint8_t *const input_ptr = in.ptr(); - const uint8_t *const weights_ptr = in2.ptr() + id.z() * weights_stride_y; - auto output_ptr = reinterpret_cast<float *>(out.ptr() + (id.y() + id.z() * input_h) * output_stride_x); - - float32x4_t row_dot = vdupq_n_f32(0.f); - for(int i = 0; i < input_w; i += 4) - { - const auto input = vld1q_f32(reinterpret_cast<const float *>(input_ptr + i * input_stride_x)); - const auto weights = vld1q_f32(reinterpret_cast<const float *>(weights_ptr + i * weights_stride_x)); - row_dot = vaddq_f32(row_dot, vmulq_f32(input, weights)); - } - - auto temp = vadd_f32(vget_high_f32(row_dot), vget_low_f32(row_dot)); - temp = vpadd_f32(temp, temp); - - *output_ptr = vget_lane_f32(temp, 0); - }, - in, in2, out); -} - -template <> -void NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply<uint8_t, uint8_t, int32_t>(const Window &window_in, - const Window &window_w, - const Window &window_out) -{ - Iterator in(_input0, window_in); - Iterator in2(_input1, window_w); - Iterator out(_output, window_out); - - const int input_offset = -_input0->info()->quantization_info().uniform().offset; - const int weights_offset = -_input1->info()->quantization_info().uniform().offset; - - const int input_w = _input0->info()->dimension(0); - const int input_h = _input0->info()->dimension(1); - const int input_stride_x = _input0->info()->strides_in_bytes().x(); - const int weights_stride_x = _input1->info()->strides_in_bytes().x(); - const int weights_stride_y = _input1->info()->strides_in_bytes().y(); - const int output_stride_x = _output->info()->strides_in_bytes().x(); - const int read_step = 16 / _input0->info()->element_size(); - - const int32x4_t v_input_offset = vdupq_n_s32(input_offset); - const int32x4_t v_weights_offset = vdupq_n_s32(weights_offset); - - execute_window_loop(window_in, [&](const Coordinates & id) - { - // Get pointers - const uint8_t *const input_ptr = in.ptr(); - const uint8_t *const weights_ptr = in2.ptr() + id.z() * weights_stride_y; - auto output_ptr = reinterpret_cast<int32_t *>(out.ptr() + (id.y() + id.z() * input_h) * output_stride_x); - - int32x4_t row_dot = vdupq_n_s32(0); - for(int i = 0; i < input_w; i += read_step) - { - // Read values - const auto input = vld1q_u8(reinterpret_cast<const uint8_t *>(input_ptr + i * input_stride_x)); - const auto weights = vld1q_u8(reinterpret_cast<const uint8_t *>(weights_ptr + i * weights_stride_x)); - - // Add offsets - const int32x4x4_t input_s32 = - { - { - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vget_low_u8(input))))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vget_low_u8(input))))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vget_high_u8(input))))), - vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vget_high_u8(input))))) - } - }; - const int32x4x4_t weights_s32 = - { - { - vaddw_s16(v_weights_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vget_low_u8(weights))))), - vaddw_s16(v_weights_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vget_low_u8(weights))))), - vaddw_s16(v_weights_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vget_high_u8(weights))))), - vaddw_s16(v_weights_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vget_high_u8(weights))))) - } - }; - - // Dot - row_dot = vaddq_s32(row_dot, vmulq_s32(input_s32.val[0], weights_s32.val[0])); - row_dot = vaddq_s32(row_dot, vmulq_s32(input_s32.val[1], weights_s32.val[1])); - row_dot = vaddq_s32(row_dot, vmulq_s32(input_s32.val[2], weights_s32.val[2])); - row_dot = vaddq_s32(row_dot, vmulq_s32(input_s32.val[3], weights_s32.val[3])); - } - - // Reduction - auto temp = vadd_s32(vget_high_s32(row_dot), vget_low_s32(row_dot)); - temp = vpadd_s32(temp, temp); - - *output_ptr = vget_lane_s32(temp, 0); - }, - in, in2, out); -} - -template <> -void NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply<int8_t, int8_t, int32_t>(const Window &window_in, - const Window &window_w, - const Window &window_out) -{ - Iterator in(_input0, window_in); - Iterator in2(_input1, window_w); - Iterator out(_output, window_out); - - const int input_offset = -_input0->info()->quantization_info().uniform().offset; - const int weights_offset = -_input1->info()->quantization_info().uniform().offset; - - const int input_w = _input0->info()->dimension(0); - const int input_h = _input0->info()->dimension(1); - const int input_stride_x = _input0->info()->strides_in_bytes().x(); - const int weights_stride_x = _input1->info()->strides_in_bytes().x(); - const int weights_stride_y = _input1->info()->strides_in_bytes().y(); - const int output_stride_x = _output->info()->strides_in_bytes().x(); - const int read_step = 16 / _input0->info()->element_size(); - - const int32x4_t v_input_offset = vdupq_n_s32(input_offset); - const int32x4_t v_weights_offset = vdupq_n_s32(weights_offset); - - execute_window_loop(window_in, [&](const Coordinates & id) - { - // Get pointers - const uint8_t *const input_ptr = in.ptr(); - const uint8_t *const weights_ptr = in2.ptr() + id.z() * weights_stride_y; - auto output_ptr = reinterpret_cast<int32_t *>(out.ptr() + (id.y() + id.z() * input_h) * output_stride_x); - - int32x4_t row_dot = vdupq_n_s32(0); - for(int i = 0; i < input_w; i += read_step) - { - // Read values - const auto input = vld1q_s8(reinterpret_cast<const int8_t *>(input_ptr + i * input_stride_x)); - const auto weights = vld1q_s8(reinterpret_cast<const int8_t *>(weights_ptr + i * weights_stride_x)); - - // Add offsets - const int32x4x4_t input_s32 = - { - { - vaddw_s16(v_input_offset, vget_low_s16(vmovl_s8(vget_low_s8(input)))), - vaddw_s16(v_input_offset, vget_high_s16(vmovl_s8(vget_low_s8(input)))), - vaddw_s16(v_input_offset, vget_low_s16(vmovl_s8(vget_high_s8(input)))), - vaddw_s16(v_input_offset, vget_high_s16(vmovl_s8(vget_high_s8(input)))) - } - }; - const int32x4x4_t weights_s32 = - { - { - vaddw_s16(v_weights_offset, vget_low_s16(vmovl_s8(vget_low_s8(weights)))), - vaddw_s16(v_weights_offset, vget_high_s16(vmovl_s8(vget_low_s8(weights)))), - vaddw_s16(v_weights_offset, vget_low_s16(vmovl_s8(vget_high_s8(weights)))), - vaddw_s16(v_weights_offset, vget_high_s16(vmovl_s8(vget_high_s8(weights)))) - } - }; - - // Dot - row_dot = vaddq_s32(row_dot, vmulq_s32(input_s32.val[0], weights_s32.val[0])); - row_dot = vaddq_s32(row_dot, vmulq_s32(input_s32.val[1], weights_s32.val[1])); - row_dot = vaddq_s32(row_dot, vmulq_s32(input_s32.val[2], weights_s32.val[2])); - row_dot = vaddq_s32(row_dot, vmulq_s32(input_s32.val[3], weights_s32.val[3])); - } - - // Reduction - auto temp = vadd_s32(vget_high_s32(row_dot), vget_low_s32(row_dot)); - temp = vpadd_s32(temp, temp); - - *output_ptr = vget_lane_s32(temp, 0); - }, - in, in2, out); -} - -NEGEMMMatrixVectorMultiplyKernel::NEGEMMMatrixVectorMultiplyKernel() - : _func(nullptr), _input0(nullptr), _input1(nullptr), _output(nullptr), _border_size(0) -{ -} - -BorderSize NEGEMMMatrixVectorMultiplyKernel::border_size() const -{ - return _border_size; -} - -void NEGEMMMatrixVectorMultiplyKernel::configure(const ITensor *input0, const ITensor *input1, ITensor *output) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info())); - - _input0 = input0; - _input1 = input1; - _output = output; - - // Set appropriate function to run - switch(input0->info()->data_type()) - { - case DataType::QASYMM8: - _func = &NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply<uint8_t, uint8_t, int32_t>; - break; - case DataType::QASYMM8_SIGNED: - _func = &NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply<int8_t, int8_t, int32_t>; - break; -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - _func = &NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply<half, half, half>; - break; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - case DataType::F32: - _func = &NEGEMMMatrixVectorMultiplyKernel::matrix_vector_multiply<float, float, float>; - break; - default: - ARM_COMPUTE_ERROR("Unsupported data type"); - } - - // Configure kernel window - const unsigned int num_elems_read_per_iteration = 16 / _input0->info()->element_size(); - - const unsigned int border_x = ceil_to_multiple(input0->info()->dimension(0), num_elems_read_per_iteration) - input0->info()->dimension(0); - _border_size = BorderSize(0, border_x); - - auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info()); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - INEKernel::configure(win_config.second); -} - -Status NEGEMMMatrixVectorMultiplyKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input0, input1, output); - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), input1->clone().get(), output->clone().get()).first); - return Status{}; -} - -void NEGEMMMatrixVectorMultiplyKernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); - ARM_COMPUTE_ERROR_ON(_func == nullptr); - - Window window_slice = window.first_slice_window_3D(); - - Window window_in(window); - Window window_weights(window_slice); - Window window_out(window); - - // Setup input0 slice - window_in.set(Window::DimX, Window::Dimension(0, _input0->info()->dimension(0), _input0->info()->dimension(0))); - window_in.set(Window::DimY, Window::Dimension(0, _input0->info()->dimension(1), 1)); - window_in.set(Window::DimZ, Window::Dimension(0, _input0->info()->dimension(2), 1)); - - // Setup input1 and output slice. Their dimensions are increased in the kernel. - window_weights.set(Window::DimX, Window::Dimension(0, 0, 0)); - window_weights.set(Window::DimY, Window::Dimension(0, 0, 0)); - window_weights.set(Window::DimZ, Window::Dimension(0, 0, 0)); - - window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); - window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); - window_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); - - (this->*_func)(window_in, window_weights, window_out); -} -} // namespace arm_compute |