diff options
Diffstat (limited to 'src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp | 185 |
1 files changed, 0 insertions, 185 deletions
diff --git a/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp b/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp deleted file mode 100644 index aba2af1bb7..0000000000 --- a/src/core/CL/kernels/CLWidthConcatenate2TensorsKernel.cpp +++ /dev/null @@ -1,185 +0,0 @@ -/* - * Copyright (c) 2018-2020 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/CL/kernels/CLWidthConcatenate2TensorsKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/CLKernelLibrary.h" -#include "arm_compute/core/CL/CLValidate.h" -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/CL/OpenCL.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/helpers/tensor_info.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" - -#include "support/StringSupport.h" - -namespace arm_compute -{ -namespace -{ -constexpr unsigned int num_elems_processed_per_iteration = 8; - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output) -{ - // The window needs to be based on the output - Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); - AccessWindowStatic input1_access(input1, 0, 0, ceil_to_multiple(input1->dimension(0), num_elems_processed_per_iteration), input1->dimension(1)); - const unsigned int input2_right_padding = (output->dimension(0) / num_elems_processed_per_iteration) * num_elems_processed_per_iteration - input1->dimension( - 0) + num_elems_processed_per_iteration - input2->dimension(0); - AccessWindowStatic input2_access(input2, -(input1->dimension(0) % num_elems_processed_per_iteration), - 0, input2->dimension(0) + input2_right_padding, input2->dimension(1)); - AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - bool window_changed = update_window_and_padding(win, input1_access, input2_access, output_access); - - Window win_collapsed = win.collapse(win, Window::DimZ); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win_collapsed); -} -Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output); - ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input1); - ARM_COMPUTE_RETURN_ERROR_ON(input1->data_type() == DataType::UNKNOWN); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2, output); - ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(0) + input2->dimension(0) > output->dimension(0)); - - for(size_t i = 1; i < Coordinates::num_max_dimensions; ++i) - { - ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(i) != output->dimension(i)); - ARM_COMPUTE_RETURN_ERROR_ON(input2->dimension(i) != output->dimension(i)); - } - ARM_COMPUTE_RETURN_ERROR_ON(input1->num_dimensions() > 4); - - return Status{}; -} -} // namespace - -CLWidthConcatenate2TensorsKernel::CLWidthConcatenate2TensorsKernel() - : _input1(nullptr), _input2(nullptr), _output(nullptr) -{ -} - -Status CLWidthConcatenate2TensorsKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first); - return Status{}; -} - -void CLWidthConcatenate2TensorsKernel::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output) -{ - configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output); -} - -void CLWidthConcatenate2TensorsKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input1->info(), input2->info(), output->info())); - - _input1 = input1; - _input2 = input2; - _output = output; - - // Add build options - CLBuildOptions build_opts; - build_opts.add_option("-DDATA_TYPE=" + get_underlying_cl_type_from_data_type(input1->info()->data_type())); - build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); - build_opts.add_option("-DDEPTH=" + support::cpp11::to_string(input1->info()->dimension(2))); - build_opts.add_option("-DINPUT1_WIDTH=" + support::cpp11::to_string(input1->info()->dimension(0))); - build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(input1->info()->element_size())); - - // If input have different quantization info set quantization parameters needed for the re-quantization process - const bool have_different_qinfo = helpers::tensor_info::tensors_have_different_quantization_info(output->info(), input1->info(), input2->info()); - if(is_data_type_quantized_asymmetric(input1->info()->data_type()) && have_different_qinfo) - { - const UniformQuantizationInfo iq1_info = input1->info()->quantization_info().uniform(); - const UniformQuantizationInfo iq2_info = input2->info()->quantization_info().uniform(); - const UniformQuantizationInfo oq_info = output->info()->quantization_info().uniform(); - - build_opts.add_option("-DOFFSET_IN1=" + float_to_string_with_full_precision(iq1_info.offset)); - build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq1_info.scale)); - build_opts.add_option("-DOFFSET_IN2=" + float_to_string_with_full_precision(iq2_info.offset)); - build_opts.add_option("-DSCALE_IN2=" + float_to_string_with_full_precision(iq2_info.scale)); - build_opts.add_option("-DOFFSET_OUT=" + float_to_string_with_full_precision(oq_info.offset)); - build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oq_info.scale)); - } - - // Create kernel - _kernel = create_kernel(compile_context, "concatenate_width_x2", build_opts.options()); - - // Configure kernel window - auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info()); - ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config)); - - ICLKernel::configure_internal(std::get<1>(win_config)); - - // Set output valid region - output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); - - // Pass paddings as arguments to the kernel - const unsigned int input1_width = input1->info()->dimension(0); - const unsigned int input1_right_padding = ceil_to_multiple(input1_width, num_elems_processed_per_iteration) - input1_width; - const unsigned int input2_left_padding = input1_width % num_elems_processed_per_iteration; - unsigned int idx0 = 3 * num_arguments_per_4D_tensor(); - _kernel.setArg<cl_uint>(idx0++, input1_right_padding); - _kernel.setArg<cl_uint>(idx0++, input2_left_padding); - - // Set config_id for enabling LWS tuning - _config_id = "concatenate_width_x2_"; - _config_id += lower_string(string_from_data_type(input1->info()->data_type())); - _config_id += "_"; - _config_id += support::cpp11::to_string(input1->info()->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(input1->info()->dimension(1)); - _config_id += "_"; - _config_id += support::cpp11::to_string(input2->info()->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(input2->info()->dimension(1)); -} - -void CLWidthConcatenate2TensorsKernel::run(const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); - - Window slice = window.first_slice_window_4D(); - - do - { - unsigned int idx = 0; - add_4D_tensor_argument(idx, _input1, slice); - add_4D_tensor_argument(idx, _input2, slice); - add_4D_tensor_argument(idx, _output, slice); - enqueue(queue, *this, window, lws_hint()); - } - while(window.slide_window_slice_4D(slice)); -} -} // namespace arm_compute |