diff options
Diffstat (limited to 'src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp | 214 |
1 files changed, 0 insertions, 214 deletions
diff --git a/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp b/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp deleted file mode 100644 index e621323c5f..0000000000 --- a/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp +++ /dev/null @@ -1,214 +0,0 @@ -/* - * Copyright (c) 2017-2021 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 "src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.h" - -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "src/core/helpers/WindowHelpers.h" -#include "support/StringSupport.h" - -namespace arm_compute -{ -namespace -{ -Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, const ITensorInfo *bias, - int32_t a_offset, int32_t b_offset) -{ - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(mm_result, 1, DataType::S32); - - if(bias != nullptr) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::S32); - ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1); - ARM_COMPUTE_RETURN_ERROR_ON(mm_result->dimension(0) != bias->dimension(0)); - } - - // If a_offset == 0, vector_sum_col can be a nullptr - if(a_offset != 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_col, 1, DataType::S32); - ARM_COMPUTE_RETURN_ERROR_ON(vector_sum_col->dimension(0) != mm_result->dimension(0)); - } - - // If b_offset == 0, vector_sum_row can be a nullptr - if(b_offset != 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_row, 1, DataType::S32); - - // Check if input is a 3D reinterpretation - const bool reinterpret_as_3d = mm_result->num_dimensions() > 1 && mm_result->tensor_shape().y() != vector_sum_row->tensor_shape().x(); - - // Validate input - ARM_COMPUTE_RETURN_ERROR_ON(reinterpret_as_3d && vector_sum_row->dimension(0) != (mm_result->dimension(1) * mm_result->dimension(2))); - ARM_COMPUTE_RETURN_ERROR_ON(!reinterpret_as_3d && vector_sum_row->dimension(0) != mm_result->dimension(1)); - - TensorShape output_shape = mm_result->tensor_shape(); - if(output_shape.num_dimensions() > 1) - { - const unsigned int output_batch_idx = reinterpret_as_3d ? 3 : 2; - - TensorShape vector_sum_row_shape = vector_sum_row->tensor_shape(); - vector_sum_row_shape.collapse_from(1); - output_shape.collapse_from(output_batch_idx); - - ARM_COMPUTE_RETURN_ERROR_ON_MSG(vector_sum_row_shape[1] != output_shape[output_batch_idx], - "mm_result tensor must have the same number of batches of output tensor"); - - if(a_offset != 0) - { - TensorShape vector_sum_col_shape = vector_sum_col->tensor_shape(); - vector_sum_col_shape.collapse_from(1); - - ARM_COMPUTE_RETURN_ERROR_ON_MSG(vector_sum_col_shape[1] != 1 && vector_sum_col_shape[1] != vector_sum_row_shape[1], - "vector_sum_col tensor must have the same number of batches of vector_sum_row_shape or the number of batches must be set to 1"); - } - } - } - - return Status{}; -} -} // namespace - -CLGEMMLowpOffsetContributionKernel::CLGEMMLowpOffsetContributionKernel() - : _vector_sum_col(nullptr), _vector_sum_row(nullptr), _mm_result(nullptr), _bias(nullptr) -{ -} - -void CLGEMMLowpOffsetContributionKernel::configure(ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, const ICLTensor *bias, int32_t k, int32_t a_offset, - int32_t b_offset) -{ - configure(CLKernelLibrary::get().get_compile_context(), mm_result, vector_sum_col, vector_sum_row, bias, k, a_offset, b_offset); -} - -void CLGEMMLowpOffsetContributionKernel::configure(const CLCompileContext &compile_context, ICLTensor *mm_result, const ICLTensor *vector_sum_col, const ICLTensor *vector_sum_row, - const ICLTensor *bias, - int32_t k, int32_t a_offset, - int32_t b_offset) -{ - // Perform validate step - ARM_COMPUTE_ERROR_ON_NULLPTR(mm_result); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(mm_result->info(), - vector_sum_col != nullptr ? vector_sum_col->info() : nullptr, - vector_sum_row != nullptr ? vector_sum_row->info() : nullptr, - bias != nullptr ? bias->info() : nullptr, - a_offset, b_offset)); // NOLINT - - auto padding_info = get_padding_info({ mm_result, vector_sum_col, vector_sum_row, bias }); - - _vector_sum_col = vector_sum_col; - _vector_sum_row = vector_sum_row; - _mm_result = mm_result; - _bias = bias; - - // Check if input is a 3D reinterpretation - const bool reinterpret_as_3d = vector_sum_row != nullptr - && mm_result->info()->num_dimensions() > 1 - && mm_result->info()->tensor_shape().y() != vector_sum_row->info()->tensor_shape().x(); - - const unsigned int num_elems_processed_per_iteration = adjust_vec_size(4, mm_result->info()->dimension(0)); - - // Set the arguments to pass at compile time - CLBuildOptions build_opts; - build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); - build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(mm_result->info()->dimension(0) % num_elems_processed_per_iteration)); - - // If a_offset == 0, vector_sum_col can be a nullptr - if(a_offset != 0) - { - build_opts.add_option("-DA_OFFSET=" + support::cpp11::to_string(a_offset)); - build_opts.add_option_if(vector_sum_col->info()->tensor_shape().num_dimensions() > 1, "-DSUM_COL_HAS_BATCHES"); - } - // If b_offset == 0, vector_sum_row can be a nullptr - build_opts.add_option_if(b_offset != 0, "-DB_OFFSET=" + support::cpp11::to_string(b_offset)); - build_opts.add_option("-DK_OFFSET=" + support::cpp11::to_string(a_offset * b_offset * k)); - build_opts.add_option_if(reinterpret_as_3d, "-DHEIGHT_INPUT3D=" + support::cpp11::to_string(mm_result->info()->dimension(1))); - build_opts.add_option_if(reinterpret_as_3d, "-DDEPTH_INPUT3D=" + support::cpp11::to_string(mm_result->info()->dimension(2))); - build_opts.add_option_if(bias != nullptr, "-DADD_BIAS"); - - std::string kernel_name("gemmlowp_offset_contribution"); - - // Create kernel - _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); - - // Configure kernel window - Window win = calculate_max_window(*mm_result->info(), Steps(num_elems_processed_per_iteration)); - ICLKernel::configure_internal(win); - - // Set config_id for enabling LWS tuning - _config_id = kernel_name + "_"; - _config_id += support::cpp11::to_string(mm_result->info()->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(mm_result->info()->dimension(1)); - _config_id += "_"; - _config_id += support::cpp11::to_string(mm_result->info()->dimension(2)); - - ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); -} - -Status CLGEMMLowpOffsetContributionKernel::validate(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row, const ITensorInfo *bias, - int32_t a_offset, int32_t b_offset) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(mm_result, vector_sum_col, vector_sum_row, bias, a_offset, b_offset)); - return Status{}; -} - -void CLGEMMLowpOffsetContributionKernel::run(const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); - - Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); - Window slice = collapsed.first_slice_window_3D(); - - // Set window for vector_sum_col - Window win_vector_sum_col = slice; - win_vector_sum_col.set(Window::DimY, Window::Dimension(0, 0, 0)); - win_vector_sum_col.set(Window::DimZ, Window::Dimension(0, 0, 0)); - - // Set window for vector_sum_row - Window win_vector_sum_row = slice; - win_vector_sum_row.set(Window::DimX, Window::Dimension(0, 0, 0)); - win_vector_sum_row.set(Window::DimY, Window::Dimension(0, 0, 0)); - win_vector_sum_col.set(Window::DimZ, Window::Dimension(0, 0, 0)); - - Window biases_slice = slice; - biases_slice.set(Window::DimY, Window::Dimension(0, 1, 1)); - biases_slice.set(Window::DimZ, Window::Dimension(0, 1, 1)); - - do - { - unsigned int idx = 0; - add_3D_tensor_argument(idx, _mm_result, slice); - add_2D_tensor_argument_if((_vector_sum_col != nullptr), idx, _vector_sum_col, win_vector_sum_col); - add_2D_tensor_argument_if((_vector_sum_row != nullptr), idx, _vector_sum_row, win_vector_sum_row); - add_1D_tensor_argument_if((_bias != nullptr), idx, _bias, biases_slice); - - enqueue(queue, *this, slice, lws_hint()); - } - while(collapsed.slide_window_slice_3D(slice)); -} -} // namespace arm_compute |