/* * The MIT License (MIT) * * Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved. * * 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 #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { namespace gpu { namespace gen { static std::vector vector_sizes(const std::vector& inputs) { // If all inputs are half then only use half2 if(std::all_of(inputs.begin(), inputs.end(), [](const auto& s) { return s.type() == shape::half_type; })) return {2}; return {4, 2}; } vectorize vectorize::elements(std::size_t axis, const std::vector& inputs) { auto sizes = vector_sizes(inputs); std::vector max_vec_size; std::transform(inputs.begin(), inputs.end(), std::back_inserter(max_vec_size), [&](const auto& input) -> std::size_t { auto stride = input.strides()[axis]; auto len = input.lens()[axis]; if(stride != 0 and stride != 1) return 1; if(len == 1 and input.elements() > sizes.front()) return sizes.front(); auto it = std::find_if( sizes.begin(), sizes.end(), [&](auto i) { return (len % i) == 0; }); if(it != sizes.end()) return *it; return 1; }); return {*std::min_element(max_vec_size.begin(), max_vec_size.end()), axis}; } std::string vectorize::str() const { return "vectorize<" + to_string(size) + ", " + to_string(axis) + ">()"; } preload preload::broadcasts(std::size_t axis, const std::vector& inputs) { const std::size_t max_lds_bytes = 4096; std::vector result; std::transform(inputs.begin(), inputs.end(), std::back_inserter(result), [&](const shape& input) { return input.strides()[axis] == 0; }); auto bytes = std::inner_product(inputs.begin(), inputs.end(), result.begin(), std::size_t{0}, std::plus<>{}, [](const shape& s, bool b) -> std::size_t { if(b) return s.bytes(); return 0; }); if(bytes < max_lds_bytes) return {result}; // TODO: Try to partially preload items std::fill(result.begin(), result.end(), false); return {result}; } std::string preload::str() const { std::vector bool_strs; std::transform(args.begin(), std::prev(args.end()), std::back_inserter(bool_strs), [](bool b) { if(b) return "true"; return "false"; }); return "auto_preload(idx)"; } bool preload::is_preloading() const { return std::accumulate(args.begin(), args.end(), false, std::logical_or<>{}); } std::size_t find_fast_axis(const std::vector& inputs) { auto permutation = find_permutation(inputs); auto it = std::max_element(permutation.begin(), permutation.end()); return it - permutation.begin(); } std::string make_transformer_args(std::vector transformers) { return join_strings(std::move(transformers), ", "); } } // namespace gen } // namespace gpu } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx