| /* |
| * 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/CLSelectKernel.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/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *c, const ITensorInfo *x, const ITensorInfo *y, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(c, x, y); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(x); |
| ARM_COMPUTE_RETURN_ERROR_ON(x->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(x, y); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(x, y); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(c, 1, DataType::U8); |
| |
| const bool is_same_rank = (c->tensor_shape().num_dimensions() == x->tensor_shape().num_dimensions()); |
| ARM_COMPUTE_RETURN_ERROR_ON(is_same_rank && (x->tensor_shape() != c->tensor_shape())); |
| ARM_COMPUTE_RETURN_ERROR_ON(!is_same_rank && ((c->tensor_shape().num_dimensions() > 1) || (c->tensor_shape().x() != x->tensor_shape()[x->tensor_shape().num_dimensions() - 1]))); |
| |
| if(output != nullptr && output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(x, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(x, output); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *c, ITensorInfo *x, ITensorInfo *y, ITensorInfo *output) |
| { |
| if(output != nullptr) |
| { |
| // Output tensor auto initialization if not yet initialized |
| auto_init_if_empty(*output, *x->clone()); |
| } |
| |
| const bool is_same_rank = (c->tensor_shape().num_dimensions() == x->tensor_shape().num_dimensions()); |
| |
| const unsigned int num_elems_processed_per_iteration = 16 / x->element_size(); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*x, Steps(num_elems_processed_per_iteration)); |
| AccessWindowHorizontal x_access(x, 0, num_elems_processed_per_iteration); |
| AccessWindowHorizontal y_access(y, 0, num_elems_processed_per_iteration); |
| bool window_changed = update_window_and_padding(win, x_access, y_access); |
| |
| // Update window for condition |
| if(is_same_rank) |
| { |
| AccessWindowHorizontal c_access(c, 0, num_elems_processed_per_iteration); |
| window_changed = window_changed || update_window_and_padding(win, c_access); |
| } |
| |
| // Update window for output |
| if(output != nullptr) |
| { |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| window_changed = window_changed || update_window_and_padding(win, output_access); |
| output_access.set_valid_region(win, x->valid_region()); |
| } |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| } // namespace |
| |
| CLSelectKernel::CLSelectKernel() |
| : _c(nullptr), _x(nullptr), _y(nullptr), _output(nullptr), _has_same_rank(false) |
| { |
| } |
| void CLSelectKernel::configure(const ICLTensor *c, const ICLTensor *x, const ICLTensor *y, ICLTensor *output) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), c, x, y, output); |
| } |
| |
| void CLSelectKernel::configure(const CLCompileContext &compile_context, const ICLTensor *c, const ICLTensor *x, const ICLTensor *y, ICLTensor *output) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(c, x, y, output); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(c->info(), x->info(), y->info(), output->info())); |
| |
| _c = c; |
| _x = x; |
| _y = y; |
| _output = output; |
| _has_same_rank = (c->info()->tensor_shape().num_dimensions() == x->info()->tensor_shape().num_dimensions()); |
| |
| const unsigned int num_elems_processed_per_iteration = 16 / x->info()->element_size(); |
| |
| // Set build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(x->info()->data_type())); |
| build_opts.add_option("-DSELECT_DATA_TYPE=" + get_cl_select_type_from_data_type(x->info()->data_type())); |
| build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); |
| |
| // Create kernel |
| std::string kernel_name = "select"; |
| if(_has_same_rank) |
| { |
| kernel_name += "_same_rank"; |
| } |
| else |
| { |
| const bool is_input_rank_greater_than_two = x->info()->tensor_shape().num_dimensions() > 2; |
| if(is_input_rank_greater_than_two) |
| { |
| const size_t width = x->info()->tensor_shape().x(); |
| const size_t height = x->info()->tensor_shape().y(); |
| const size_t outer_size = x->info()->tensor_shape()[x->info()->tensor_shape().num_dimensions() - 1]; |
| const size_t depth_size = x->info()->tensor_shape().total_size() / (width * height * outer_size); |
| build_opts.add_option("-DDEPTH_SIZE=" + support::cpp11::to_string(depth_size)); |
| } |
| kernel_name += "_different_rank"; |
| kernel_name += is_input_rank_greater_than_two ? "_n" : "_2"; |
| } |
| _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(c->info(), x->info(), y->info(), output->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICLKernel::configure_internal(win_config.second); |
| |
| _config_id = "select_"; |
| _config_id += string_from_data_type(x->info()->data_type()); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(x->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(x->info()->dimension(1)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(x->info()->dimension(2)); |
| } |
| |
| Status CLSelectKernel::validate(const ITensorInfo *c, const ITensorInfo *x, const ITensorInfo *y, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(c, x, y, output)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(c->clone().get(), x->clone().get(), y->clone().get(), output->clone().get()).first); |
| return Status{}; |
| } |
| |
| void CLSelectKernel::run(const arm_compute::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(); |
| |
| if(!_has_same_rank) |
| { |
| Window vector_slice = window.first_slice_window_1D(); |
| vector_slice.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| unsigned int idx = 0; |
| add_1D_tensor_argument(idx, _c, vector_slice); |
| } |
| |
| do |
| { |
| unsigned int idx = _has_same_rank ? 0 : num_arguments_per_1D_tensor(); |
| if(_has_same_rank) |
| { |
| add_3D_tensor_argument(idx, _c, slice); |
| } |
| add_3D_tensor_argument(idx, _x, slice); |
| add_3D_tensor_argument(idx, _y, slice); |
| add_3D_tensor_argument(idx, _output, slice); |
| |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(collapsed.slide_window_slice_3D(slice)); |
| } |
| } // namespace arm_compute |