| /* |
| * Copyright (c) 2017 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/CLDepthConcatenateKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.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/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include "support/ToolchainSupport.h" |
| |
| #include <map> |
| |
| using namespace arm_compute; |
| |
| CLDepthConcatenateKernel::CLDepthConcatenateKernel() |
| : _input(nullptr), _output(nullptr), _top_bottom(0), _left_right(0) |
| { |
| } |
| |
| BorderSize CLDepthConcatenateKernel::border_size() const |
| { |
| return BorderSize(_top_bottom, _left_right); |
| } |
| |
| void CLDepthConcatenateKernel::configure(const ICLTensor *input, unsigned int depth_offset, ICLTensor *output) |
| { |
| static std::map<int, std::pair<std::string, int>> configs_map = |
| { |
| { 1, { "uchar", 16 } }, |
| { 2, { "ushort", 8 } }, |
| { 4, { "uint", 4 } }, |
| { 8, { "ulong", 2 } }, |
| }; |
| |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(input, output); |
| ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) + depth_offset > output->info()->dimension(2)); |
| ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) > output->info()->dimension(0)); |
| ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) > output->info()->dimension(1)); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(3, input, output); |
| ARM_COMPUTE_ERROR_ON(configs_map.find(input->info()->element_size()) == configs_map.end()); |
| |
| // The gaps between the two lowest dimensions of input and output need to be divisible by 2 |
| // Otherwise it is not clear how the padding should be added onto the input tensor |
| ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) - input->info()->dimension(0)) % 2); |
| ARM_COMPUTE_ERROR_ON((output->info()->dimension(1) - input->info()->dimension(1)) % 2); |
| |
| _input = input; |
| _output = output; |
| |
| // Add build options |
| auto config = configs_map.find(static_cast<int>(input->info()->element_size())); |
| std::set<std::string> build_opts; |
| build_opts.emplace(("-DDATA_TYPE=" + config->second.first)); |
| build_opts.emplace(("-DVEC_SIZE=" + support::cpp11::to_string(config->second.second))); |
| |
| // Create kernel |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("concatenate_depth", build_opts)); |
| |
| // Configure kernel window |
| _left_right = (output->info()->dimension(0) - input->info()->dimension(0)) / 2; |
| _top_bottom = (output->info()->dimension(1) - input->info()->dimension(1)) / 2; |
| |
| const int offset_to_first_elements_in_bytes = depth_offset * output->info()->strides_in_bytes()[2]; |
| |
| const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); |
| const unsigned int num_elems_read_per_iteration = 16 / input->info()->element_size(); |
| const unsigned int num_rows_read_per_iteration = 1; |
| |
| // The window needs to be based on input as we copy all the depths of input |
| Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); |
| win.set(Window::DimZ, Window::Dimension(0, input->info()->tensor_shape().z(), 1)); |
| |
| AccessWindowRectangle input_access(input->info(), -_left_right, -_top_bottom, num_elems_read_per_iteration, num_rows_read_per_iteration); |
| AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); |
| update_window_and_padding(win, input_access, output_access); |
| output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->info()->tensor_shape())); |
| |
| unsigned int idx = 2 * num_arguments_per_3D_tensor(); // Skip the input and output parameters |
| const cl_int3 offsets = |
| { |
| { |
| static_cast<cl_int>(_left_right), |
| static_cast<cl_int>(_top_bottom), |
| static_cast<cl_int>(offset_to_first_elements_in_bytes), |
| } |
| }; |
| _kernel.setArg<cl_int3>(idx, offsets); |
| |
| ICLKernel::configure(win); |
| } |
| |
| void CLDepthConcatenateKernel::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(); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, slice); |
| add_3D_tensor_argument(idx, _output, slice); |
| enqueue(queue, *this, slice); |
| } |
| while(window.slide_window_slice_3D(slice)); |
| } |