/* * Copyright (c) 2016, 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/CLThresholdKernel.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/Helpers.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" #include using namespace arm_compute; void CLThresholdKernel::configure(const ICLTensor *input, ICLTensor *output, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8); // Construct kernel name std::string kernel_name = "threshold"; switch(type) { case ThresholdType::BINARY: kernel_name += "_binary"; break; case ThresholdType::RANGE: kernel_name += "_range"; break; default: ARM_COMPUTE_ERROR("Thresholding type not recognized"); break; } // Create kernel _kernel = static_cast(CLKernelLibrary::get().create_kernel(kernel_name)); // Set arguments unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters _kernel.setArg(idx++, false_value); _kernel.setArg(idx++, true_value); _kernel.setArg(idx++, threshold); if(ThresholdType::RANGE == type) { _kernel.setArg(idx++, upper); } // Make sure _kernel is initialized before calling the parent's configure constexpr unsigned int num_elems_processed_per_iteration = 16; ICLSimple2DKernel::configure(input, output, num_elems_processed_per_iteration); }