diff options
Diffstat (limited to 'src/core/CL/kernels/CLMinMaxLocationKernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLMinMaxLocationKernel.cpp | 169 |
1 files changed, 169 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLMinMaxLocationKernel.cpp b/src/core/CL/kernels/CLMinMaxLocationKernel.cpp new file mode 100644 index 0000000000..939a53b03a --- /dev/null +++ b/src/core/CL/kernels/CLMinMaxLocationKernel.cpp @@ -0,0 +1,169 @@ +/* + * 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/CLMinMaxLocationKernel.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/Helpers.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include <climits> + +using namespace arm_compute; + +CLMinMaxKernel::CLMinMaxKernel() + : _input(nullptr), _min_max(), _data_type_max_min() +{ +} + +void CLMinMaxKernel::configure(const ICLImage *input, cl::Buffer *min_max) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16); + ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input); + ARM_COMPUTE_ERROR_ON(min_max == nullptr); + + _input = input; + _min_max = min_max; + const unsigned int num_elems_processed_per_iteration = input->info()->dimension(0); + + switch(input->info()->data_type()) + { + case DataType::U8: + _data_type_max_min[0] = UCHAR_MAX; + _data_type_max_min[1] = 0; + break; + case DataType::S16: + _data_type_max_min[0] = SHRT_MAX; + _data_type_max_min[1] = SHRT_MIN; + break; + default: + ARM_COMPUTE_ERROR("You called with the wrong image data types"); + } + + // Set kernel 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_TYPE_MAX=" + val_to_string<int>(_data_type_max_min[0])); + build_opts.emplace("-DDATA_TYPE_MIN=" + val_to_string<int>(_data_type_max_min[1])); + build_opts.emplace((0 != (num_elems_processed_per_iteration % max_cl_vector_width)) ? "-DNON_MULTIPLE_OF_16" : ""); + + // Create kernel + _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("minmax", build_opts)); + + // Set fixed arguments + unsigned int idx = num_arguments_per_2D_tensor(); //Skip the input and output parameters + _kernel.setArg(idx++, *_min_max); + _kernel.setArg<cl_uint>(idx++, input->info()->dimension(0)); + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + update_window_and_padding(win, AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration)); + ICLKernel::configure(win); +} + +void CLMinMaxKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + + // Reset mininum and maximum values + queue.enqueueWriteBuffer(*_min_max, CL_FALSE /* blocking */, 0, _data_type_max_min.size() * sizeof(int), _data_type_max_min.data()); + + Window slice = window.first_slice_window_2D(); + do + { + unsigned int idx = 0; + add_2D_tensor_argument(idx, _input, slice); + enqueue(queue, *this, slice); + } + while(window.slide_window_slice_2D(slice)); +} + +CLMinMaxLocationKernel::CLMinMaxLocationKernel() + : _input(nullptr), _min_max_count(nullptr) +{ +} + +void CLMinMaxLocationKernel::configure(const ICLImage *input, cl::Buffer *min_max, cl::Buffer *min_max_count, ICLCoordinates2DArray *min_loc, ICLCoordinates2DArray *max_loc) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16); + ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input); + ARM_COMPUTE_ERROR_ON(min_max == nullptr); + ARM_COMPUTE_ERROR_ON(min_max_count == nullptr && min_loc == nullptr && max_loc == nullptr); + + _input = input; + _min_max_count = min_max_count; + + // Set kernel 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((min_max_count != nullptr) ? "-DCOUNT_MIN_MAX" : ""); + build_opts.emplace((min_loc != nullptr) ? "-DLOCATE_MIN" : ""); + build_opts.emplace((max_loc != nullptr) ? "-DLOCATE_MAX" : ""); + + // Create kernel + _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("minmaxloc", build_opts)); + + // Set static arguments + unsigned int idx = num_arguments_per_2D_tensor(); //Skip the input and output parameters + _kernel.setArg(idx++, *min_max); + _kernel.setArg(idx++, *min_max_count); + if(min_loc != nullptr) + { + _kernel.setArg(idx++, min_loc->cl_buffer()); + _kernel.setArg<cl_uint>(idx++, min_loc->max_num_values()); + } + if(max_loc != nullptr) + { + _kernel.setArg(idx++, max_loc->cl_buffer()); + _kernel.setArg<cl_uint>(idx++, max_loc->max_num_values()); + } + + // Configure kernel window + constexpr unsigned int num_elems_processed_per_iteration = 1; + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + update_window_and_padding(win, AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration)); + ICLKernel::configure(win); +} + +void CLMinMaxLocationKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + + static const unsigned int zero_count = 0; + queue.enqueueWriteBuffer(*_min_max_count, CL_FALSE, 0 * sizeof(zero_count), sizeof(zero_count), &zero_count); + queue.enqueueWriteBuffer(*_min_max_count, CL_FALSE, 1 * sizeof(zero_count), sizeof(zero_count), &zero_count); + + Window slice = window.first_slice_window_2D(); + do + { + unsigned int idx = 0; + add_2D_tensor_argument(idx, _input, slice); + enqueue(queue, *this, slice); + } + while(window.slide_window_slice_2D(slice)); +} |