/*************************************************************************************************** * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without modification, are permitted * provided that the following conditions are met: * * Redistributions of source code must retain the above copyright notice, this list of * conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright notice, this list of * conditions and the following disclaimer in the documentation and/or other materials * provided with the distribution. * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used * to endorse or promote products derived from this software without specific prior written * permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ #pragma once #include #include "cutlass/cutlass.h" #include "tools/util/reference/device/kernel/tensor_foreach.h" namespace cutlass { namespace reference { namespace host { /////////////////////////////////////////////////////////////////////////////////////////////////// /// Defines several helpers namespace detail { /// Helper to perform for-each operation template struct TensorForEachHelper { /// Index of the active rank static int const kActiveRank = Rank - RankRemaining - 1; /// Constructor for general rank TensorForEachHelper( Func &func, Coord const &size, Coord &coord) { for (int i = 0; i < size.at(kActiveRank); ++i) { coord[kActiveRank] = i; TensorForEachHelper(func, size, coord); } } }; /// Helper to perform for-each operation template struct TensorForEachHelper { /// Index of the active rank static int const kActiveRank = Rank - 1; /// Constructor for fastest chaning rank TensorForEachHelper( Func &func, Coord const &size, Coord &coord) { for (int i = 0; i < size.at(kActiveRank); ++i) { coord[kActiveRank] = i; func(coord); } } }; } // namespace detail /////////////////////////////////////////////////////////////////////////////////////////////////// /// Iterates over the index space of a tensor template struct TensorForEach { /// Constructor performs the operation. TensorForEach(Coord size, Params params = Params()) { Func func(params); Coord coord; detail::TensorForEachHelper(func, size, coord); } }; /////////////////////////////////////////////////////////////////////////////////////////////////// } // namespace host } // namespace reference } // namespace cutlass