/* * Copyright (c) 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/CL/kernels/CLBatchConcatenateLayerKernel.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 "support/ToolchainSupport.h" #include using namespace arm_compute; namespace { std::pair validate_and_configure_window(ITensorInfo *input, unsigned int batch_offset, ITensorInfo *output) { ARM_COMPUTE_UNUSED(batch_offset); const unsigned int num_elems_processed_per_iteration = 16 / input->element_size(); // The window needs to be based on output, except for the batch size Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); // The total batch size is the concatenation of the batch size of the inputs win.set(3, Window::Dimension(0, input->tensor_shape()[3], 1)); AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); bool window_changed = update_window_and_padding(win, input_access, output_access); output_access.set_valid_region(win, 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); } Status validate_arguments(const ITensorInfo *input, unsigned int batch_offset, const ITensorInfo *output) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::U32, DataType::S32, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimX) != output->dimension(Window::DimX)); ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimY) != output->dimension(Window::DimY)); ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimZ) != output->dimension(Window::DimZ)); ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(3) + batch_offset > output->dimension(3)); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(4, input, output); return Status{}; } } // namespace CLBatchConcatenateLayerKernel::CLBatchConcatenateLayerKernel() : _input(nullptr), _output(nullptr), _batch_offset(0) { } void CLBatchConcatenateLayerKernel::configure(const ICLTensor *input, unsigned int batch_offset, ICLTensor *output) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), batch_offset, output->info())); _input = input; _output = output; _batch_offset = batch_offset; const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); // Add build options CLBuildOptions build_opts; build_opts.add_option("-DDATA_TYPE=" + get_underlying_cl_type_from_data_type(input->info()->data_type())); build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); if(is_data_type_quantized_asymmetric(input->info()->data_type()) && input->info()->quantization_info() != output->info()->quantization_info()) { const UniformQuantizationInfo iq_info = input->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(iq_info.offset)); build_opts.add_option("-DOFFSET_OUT=" + float_to_string_with_full_precision(oq_info.offset)); build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq_info.scale)); build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oq_info.scale)); } // Create kernel _kernel = static_cast(CLKernelLibrary::get().create_kernel("concatenate", build_opts.options())); // Configure kernel window auto win_config = validate_and_configure_window(input->info(), batch_offset, 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())); // Set config_id for enabling LWS tuning _config_id = "concatenate_"; _config_id += support::cpp11::to_string(3); _config_id += "_"; _config_id += support::cpp11::to_string(batch_offset); _config_id += "_"; _config_id += support::cpp11::to_string(input->info()->dimension(0)); _config_id += "_"; _config_id += support::cpp11::to_string(input->info()->dimension(1)); _config_id += "_"; _config_id += support::cpp11::to_string(input->info()->dimension(2)); _config_id += "_"; _config_id += support::cpp11::to_string(input->info()->dimension(3)); } Status CLBatchConcatenateLayerKernel::validate(const arm_compute::ITensorInfo *input, unsigned int batch_offset, const arm_compute::ITensorInfo *output) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, batch_offset, output)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), batch_offset, output->clone().get()).first); return Status{}; } void CLBatchConcatenateLayerKernel::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_3D(); const int offset_to_first_elements_in_bytes = _batch_offset * _output->info()->strides_in_bytes()[3]; unsigned int idx = 2 * num_arguments_per_3D_tensor(); // Skip the input and output parameters _kernel.setArg(idx, offset_to_first_elements_in_bytes); do { unsigned int idx = 0; add_3D_tensor_argument(idx, _input, slice); add_3D_tensor_argument(idx, _output, slice); enqueue(queue, *this, slice, lws_hint()); } while(window.slide_window_slice_3D(slice)); }