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/***************************************************************************************************
* Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. 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.
*
* 3. Neither the name of the copyright holder 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 THE COPYRIGHT HOLDER OR CONTRIBUTORS 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 TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
**************************************************************************************************/
/*! \file
\brief Defines a matrix object intended for storing data in registers and operations within
a CUDA thread.
*/
#pragma once
#include "cutlass/cutlass.h"
#include "cutlass/array.h"
#include "cutlass/matrix_coord.h"
namespace cutlass {
namespace thread {
/////////////////////////////////////////////////////////////////////////////////////////////////
/// Per-thread matrix object storing a packed matrix
template <
typename Element,
int Rows,
int Columns,
typename Layout = layout::RowMajor
>
class Matrix : public Array<Element, Rows * Columns> {
public:
// Verify layout refers to a rank=2 matrix.
static_assert(
Layout::kRank == 2,
"Layout type must refer to a rank=2 matrix");
/// Base type
using Base = Array<Element, Rows * Columns>;
/// Element type
using Element = Element_;
/// Number of rows
static int const kRows = Rows;
/// Number of columns
static int const kColumns = Columns;
/// Layout within the array
using Layout = Layout_;
/// Reference type to an element
using Reference = Element &;
/// Logical rank of tensor index space
static int const kRank = 2;
/// Index type
using Index = typename Layout::Index;
/// Long index used for pointer offsets
using LongIndex = typename Layout::LongIndex;
/// Coordinate in logical tensor space
using TensorCoord = typename Layout::TensorCoord;
/// Stride type
using Stride = typename Layout::Stride;
/// TensorRef to matrix object
using TensorRef = TensorRef<Element, kRank, Layout>;
/// TensorRef to constant matrix object
using ConstTensorRef = typename TensorRef::ConstTensorRef;
/// TensorRef to matrix object
using TensorView = TensorView<Element, kRank, Layout>;
/// TensorRef to constant matrix object
using ConstTensorView = typename TensorView::ConstTensorView;
/// Diagonal vector
using Diagonal = Vector<Element, __NV_STD_MIN(kRows, kColumns)>;
private:
public:
//
// Methods
//
/// Returns the size of the object
CUTLASS_HOST_DEVICE
static MatrixCoord extent() {
return make_Coord(kRows, kColumns);
}
/// Returns the layout object
CUTLASS_HOST_DEVICE
static Layout layout() {
return Layout::packed(extent());
}
/// Ctor
CUTLASS_HOST_DEVICE
Matrix() { }
/// Ctor
CUTLASS_HOST_DEVICE
Matrix(Diagonal const &diag) {
}
/// Returns a TensorRef pointing to the first element of the tensor.
CUTLASS_HOST_DEVICE
TensorRef ref() {
return TensorRef(this->data(), layout());
}
/// Returns a TensorRef pointing to the first element of the tensor.
CUTLASS_HOST_DEVICE
ConstTensorRef const_ref() const {
return ConstTensorRef(this->data(), layout());
}
/// Returns a TensorRef pointing to the first element of the tensor.
CUTLASS_HOST_DEVICE
TensorView view() {
return TensorView(ref(), extent());
}
/// Returns a TensorView to const data
CUTLASS_HOST_DEVICE
ConstTensorView const_view() const {
return ConstTensorView(const_ref(), extent());
}
/// Returns a reference to the element at a given Coord
CUTLASS_HOST_DEVICE
Reference at(MatrixCoord const& coord) const {
typename Base::size_type offset_(layout().offset(coord));
return Base::at(offset_);
}
/// Returns the number of scalar elements needed to store tensor.
CUTLASS_HOST_DEVICE
LongIndex capacity() const {
return LongIndex(Base::size());
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
/// Column vector defined as a matrix with exactly one column
template <
typename Element,
int Rows,
typename Layout = layout::ColumnMajor
>
using ColumnVector = Matrix<Element, Rows, 1, Layout>;
/// Row vector defined as a matrix with exactly one row
template <
typename Element,
int Columns,
typename Layout = layout::RowMajor
>
using RowVector = Matrix<Element, 1, Columns, Layout>;
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace thread
} // namespace cutlass
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