/* * Copyright (c) 2019 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/runtime/CL/tuners/CLLWSList.h" namespace arm_compute { namespace cl_tuner { size_t CLLWSList::size() { return search_space_shape.total_size(); } cl::NDRange CLLWSListExhaustive::operator[](size_t index) { ARM_COMPUTE_ERROR_ON(index >= size()); auto coords = index2coords(search_space_shape, index); return cl::NDRange{ coords[0] + 1U, coords[1] + 1U, coords[2] + 1U }; } CLLWSListExhaustive::CLLWSListExhaustive(const cl::NDRange &gws) { search_space_shape = TensorShape(std::min(static_cast(gws[0]), max_lws_supported_x), std::min(static_cast(gws[1]), max_lws_supported_y), std::min(static_cast(gws[2]), max_lws_supported_z)); } cl::NDRange CLLWSListNormal::operator[](size_t index) { ARM_COMPUTE_ERROR_ON(index >= size()); auto coords = index2coords(search_space_shape, index); return cl::NDRange{ _lws_x[coords[0]], _lws_y[coords[1]], _lws_z[coords[2]] }; } CLLWSListNormal::CLLWSListNormal(const cl::NDRange &gws) { auto lws_x_max = std::min(static_cast(gws[0]), max_lws_supported_x); auto lws_y_max = std::min(static_cast(gws[1]), max_lws_supported_y); auto lws_z_max = std::min(static_cast(gws[2]), max_lws_supported_z); // Initialize the LWS values to test initialize_lws_values(_lws_x, gws[0], lws_x_max, gws[2] > 16); // Explore lws that are not factors of gws only when gws[2] > 16 initialize_lws_values(_lws_y, gws[1], lws_y_max, gws[2] > 16); // Explore lws that are not factors of gws only when gws[2] > 16 initialize_lws_values(_lws_z, gws[2], lws_z_max, false); search_space_shape = TensorShape(_lws_x.size(), _lws_y.size(), _lws_z.size()); } void CLLWSListNormal::initialize_lws_values(std::vector &lws, unsigned int gws, unsigned int lws_max, bool mod_let_one) { lws.push_back(1); for(unsigned int i = 2; i <= lws_max; ++i) { // Power of two condition const bool is_power_of_two = (i & (i - 1)) == 0; // Condition for the module accordingly with the mod_let_one flag const bool mod_cond = mod_let_one ? (gws % i) <= 1 : (gws % i) == 0; if(mod_cond || is_power_of_two) { lws.push_back(i); } } } CLLWSListRapid::CLLWSListRapid(const cl::NDRange &gws) { auto lws_x_max = std::min(static_cast(gws[0]), 8u); // Limit exploration to 1 - 8 auto lws_y_max = std::min(static_cast(gws[1]), 4u); // Limit exploration to 1 - 4 auto lws_z_max = std::min(static_cast(gws[2]), 4u); // Limit exploration to 1 - 4 // Initialize the LWS values to test initialize_lws_values(_lws_x, lws_x_max); initialize_lws_values(_lws_y, lws_y_max); initialize_lws_values(_lws_z, lws_z_max); search_space_shape = TensorShape(_lws_x.size(), _lws_y.size(), _lws_z.size()); } void CLLWSListRapid::initialize_lws_values(std::vector &lws, unsigned int lws_max) { lws.push_back(1); for(unsigned int i = 2; i <= lws_max; i *= 4) { lws.push_back(i); } } } // namespace cl_tuner } // namespace arm_compute