diff options
Diffstat (limited to 'src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp | 169 |
1 files changed, 0 insertions, 169 deletions
diff --git a/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp b/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp deleted file mode 100644 index 5ac2323896..0000000000 --- a/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp +++ /dev/null @@ -1,169 +0,0 @@ -/* - * Copyright (c) 2017-2019 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/NEGEMMMatrixAccumulateBiasesKernel.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/NEFixedPoint.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> - -using namespace arm_compute; - -namespace -{ -inline Status validate_arguments(const ITensorInfo *accum, const ITensorInfo *biases) -{ - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(accum); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(biases, accum); - ARM_COMPUTE_RETURN_ERROR_ON(biases->num_dimensions() > 1); - ARM_COMPUTE_RETURN_ERROR_ON(biases->dimension(0) != accum->dimension(0)); - - return Status{}; -} - -inline std::pair<Status, Window> validate_and_configure_window(ITensorInfo *accum, ITensorInfo *biases) -{ - constexpr unsigned int num_elems_processed_per_iteration = 16; - - // Configure kernel window - Window win = calculate_max_window(*accum, Steps(num_elems_processed_per_iteration)); - - bool window_changed = update_window_and_padding(win, - AccessWindowHorizontal(accum, 0, num_elems_processed_per_iteration), - AccessWindowStatic(biases, 0, 0, ceil_to_multiple(biases->dimension(0), num_elems_processed_per_iteration), biases->tensor_shape().y())); - - AccessWindowHorizontal output_access(accum, 0, num_elems_processed_per_iteration); - - // Set the valid region for the accum tensor - Coordinates coord; - coord.set_num_dimensions(accum->num_dimensions()); - output_access.set_valid_region(win, ValidRegion(coord, accum->tensor_shape())); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} -} // namespace - -NEGEMMMatrixAccumulateBiasesKernel::NEGEMMMatrixAccumulateBiasesKernel() - : _accum(nullptr), _biases(nullptr) -{ -} - -void NEGEMMMatrixAccumulateBiasesKernel::configure(ITensor *accum, const ITensor *biases) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(accum, biases); - - // Perform validate step - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(accum->info(), biases->info())); - - _biases = biases; - _accum = accum; - - // Configure kernel window - auto win_config = validate_and_configure_window(accum->info(), biases->info()); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - INEKernel::configure(win_config.second); -} - -Status NEGEMMMatrixAccumulateBiasesKernel::validate(const ITensorInfo *accum, const ITensorInfo *biases) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(accum, biases)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(accum->clone().get(), biases->clone().get()).first); - - return Status{}; -} - -void NEGEMMMatrixAccumulateBiasesKernel::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); - - Window win_biases; - win_biases.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), window.x().step())); - win_biases.set(Window::DimY, Window::Dimension(0, 1, 1)); - - Iterator in0_out(_accum, window); - Iterator in1(_biases, win_biases); - - switch(_accum->info()->data_type()) - { - case DataType::F32: - { - execute_window_loop(window, [&](const Coordinates &) - { - const float32x4x4_t accum = vld4q_f32(reinterpret_cast<const float *>(in0_out.ptr())); - const float32x4x4_t biases = vld4q_f32(reinterpret_cast<const float *>(in1.ptr())); - const float32x4x4_t res = - { - { - vaddq_f32(accum.val[0], biases.val[0]), - vaddq_f32(accum.val[1], biases.val[1]), - vaddq_f32(accum.val[2], biases.val[2]), - vaddq_f32(accum.val[3], biases.val[3]) - } - }; - - vst4q_f32(reinterpret_cast<float *>(in0_out.ptr()), res); - }, - in0_out, in1); - break; - } -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - { - execute_window_loop(window, [&](const Coordinates &) - { - const float16x8x2_t accum = vld2q_f16(reinterpret_cast<const float16_t *>(in0_out.ptr())); - const float16x8x2_t biases = vld2q_f16(reinterpret_cast<const float16_t *>(in1.ptr())); - const float16x8x2_t res = - { - { - vaddq_f16(accum.val[0], biases.val[0]), - vaddq_f16(accum.val[1], biases.val[1]) - } - }; - - vst2q_f16(reinterpret_cast<float16_t *>(in0_out.ptr()), res); - }, - in0_out, in1); - break; - } -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - default: - ARM_COMPUTE_ERROR("Data type not supported"); - break; - } -} |