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tensor_foreach.h
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/***************************************************************************************************
* 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 <stdexcept>
#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 <typename Func, int Rank, int RankRemaining>
struct TensorForEachHelper {
/// Index of the active rank
static int const kActiveRank = Rank - RankRemaining - 1;
/// Constructor for general rank
TensorForEachHelper(
Func &func,
Coord<Rank> const &size,
Coord<Rank> &coord) {
for (int i = 0; i < size.at(kActiveRank); ++i) {
coord[kActiveRank] = i;
TensorForEachHelper<Func, Rank, RankRemaining - 1>(func, size, coord);
}
}
};
/// Helper to perform for-each operation
template <typename Func, int Rank>
struct TensorForEachHelper<Func, Rank, 0> {
/// Index of the active rank
static int const kActiveRank = Rank - 1;
/// Constructor for fastest chaning rank
TensorForEachHelper(
Func &func,
Coord<Rank> const &size,
Coord<Rank> &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 <typename Func, int Rank, typename Params>
struct TensorForEach {
/// Constructor performs the operation.
TensorForEach(Coord<Rank> size, Params params = Params()) {
Func func(params);
Coord<Rank> coord;
detail::TensorForEachHelper<Func, Rank, Rank - 1>(func, size, coord);
}
};
///////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace host
} // namespace reference
} // namespace cutlass