| /* |
| * Copyright (c) 2017-2020 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 "src/core/CL/kernels/CLROIPoolingLayerKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/ICLArray.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/CL/OpenCL.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "src/core/AccessWindowStatic.h" |
| #include "src/core/CL/CLValidate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/StringSupport.h" |
| |
| #include <cmath> |
| #include <set> |
| #include <string> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *rois, ITensorInfo *output, const ROIPoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Output auto initialization if not yet initialized |
| TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), input->dimension(2), rois->dimension(1)); |
| auto_init_if_empty((*output), output_shape, 1, input->data_type()); |
| |
| // Configure kernel window |
| constexpr unsigned int num_elems_processed_per_iteration = 1; |
| Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| AccessWindowHorizontal input_access(input, input->valid_region().start(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); |
| } |
| } // namespace |
| |
| CLROIPoolingLayerKernel::CLROIPoolingLayerKernel() |
| : _input(nullptr), _rois(nullptr), _output(nullptr), _pool_info(0, 0, 0.f) |
| { |
| } |
| |
| void CLROIPoolingLayerKernel::configure(const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, rois, output, pool_info); |
| } |
| |
| void CLROIPoolingLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, rois, output); |
| |
| //Validate arguments |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input->info(), rois->info(), output->info()); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(rois, 1, DataType::U16); |
| ARM_COMPUTE_ERROR_ON(rois->info()->dimension(0) != 5); |
| ARM_COMPUTE_ERROR_ON(rois->info()->num_dimensions() > 2); |
| ARM_COMPUTE_ERROR_ON_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16); |
| ARM_COMPUTE_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0)); |
| |
| if(output->info()->total_size() != 0) |
| { |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) != pool_info.pooled_width()) || (output->info()->dimension(1) != pool_info.pooled_height())); |
| ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) != output->info()->dimension(2)); |
| ARM_COMPUTE_ERROR_ON(rois->info()->dimension(1) != output->info()->dimension(3)); |
| } |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), rois->info(), output->info(), pool_info); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| |
| // Set instance variables |
| _input = input; |
| _rois = rois; |
| _output = output; |
| _pool_info = pool_info; |
| |
| // Set build options |
| std::set<std::string> build_opts; |
| build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()))); |
| build_opts.emplace(("-DDATA_SIZE=" + get_data_size_from_data_type(input->info()->data_type()))); |
| build_opts.emplace(("-DMAX_DIM_X=" + support::cpp11::to_string(_input->info()->dimension(Window::DimX)))); |
| build_opts.emplace(("-DMAX_DIM_Y=" + support::cpp11::to_string(_input->info()->dimension(Window::DimY)))); |
| build_opts.emplace(("-DMAX_DIM_Z=" + support::cpp11::to_string(_input->info()->dimension(Window::DimZ)))); |
| build_opts.emplace(("-DPOOLED_DIM_X=" + support::cpp11::to_string(pool_info.pooled_width()))); |
| build_opts.emplace(("-DPOOLED_DIM_Y=" + support::cpp11::to_string(pool_info.pooled_height()))); |
| build_opts.emplace(("-DSPATIAL_SCALE=" + support::cpp11::to_string(pool_info.spatial_scale()))); |
| |
| // Create kernel |
| std::string kernel_name = "roi_pooling_layer"; |
| _kernel = create_kernel(compile_context, kernel_name, build_opts); |
| |
| // Set static kernel arguments |
| unsigned int idx = 2 * num_arguments_per_3D_tensor() + num_arguments_per_1D_array(); |
| add_argument<cl_uint>(idx, _input->info()->strides_in_bytes()[3]); |
| add_argument<cl_uint>(idx, _output->info()->strides_in_bytes()[3]); |
| |
| ICLKernel::configure_internal(win_config.second); |
| } |
| |
| void CLROIPoolingLayerKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| |
| Window slice = window.first_slice_window_3D(); |
| Window slice_rois = slice; |
| // Parallelize spatially and across the fourth dimension of the output tensor (also across ROITensor) |
| slice_rois.set_dimension_step(Window::DimX, _rois->info()->dimension(0)); |
| slice.set(Window::DimZ, window[3]); |
| |
| // Set arguments |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, slice); |
| add_2D_tensor_argument(idx, _rois, slice_rois); |
| add_3D_tensor_argument(idx, _output, slice); |
| add_argument<cl_uint>(idx, _input->info()->strides_in_bytes()[3]); |
| add_argument<cl_uint>(idx, _output->info()->strides_in_bytes()[3]); |
| |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| } // namespace arm_compute |