CUTLASS 1.3 Release - Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
227 lines
7.0 KiB
C++
227 lines
7.0 KiB
C++
/***************************************************************************************************
|
|
* 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.
|
|
*
|
|
**************************************************************************************************/
|
|
/*! \file
|
|
\brief Defines a fragment based on a Shape<> template.
|
|
*/
|
|
#pragma once
|
|
|
|
#include "cutlass/shape.h"
|
|
#include "cutlass/fragment.h"
|
|
#include "cutlass/tensor_ref.h"
|
|
#include "cutlass/tensor_view.h"
|
|
#include "cutlass/zip_tensor_ref.h"
|
|
|
|
namespace cutlass {
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Class for storing a tile in memory and accessing it through a tensor ref
|
|
template <typename Scalar_, typename Shape_>
|
|
struct TileAllocation {
|
|
//
|
|
// Type definitions
|
|
//
|
|
|
|
/// Scalar element
|
|
typedef Scalar_ Scalar;
|
|
|
|
/// The actual storage (may differ from the scalar type)
|
|
typedef typename StorageType<int(sizeof(Scalar))>::Type Storage;
|
|
|
|
/// Size of the allocation in units of scalars
|
|
typedef Shape_ Shape;
|
|
|
|
/// Strides
|
|
typedef typename ShapeStrides<Shape, 1>::Shape Strides;
|
|
|
|
/// Defines the tensor reference for this allocation
|
|
typedef TensorRef<Scalar const, 4> ConstTensorRef;
|
|
|
|
/// Defines the tensor reference for this allocation
|
|
typedef TensorRef<Scalar, 4> TensorRef;
|
|
|
|
/// View of memory
|
|
typedef TensorView<Scalar const, 4> ConstTensorView;
|
|
|
|
/// View of memory
|
|
typedef TensorView<Scalar, 4> TensorView;
|
|
|
|
//
|
|
// Data members
|
|
//
|
|
|
|
/// Storage
|
|
Storage storage[Shape::kD][Shape::kH][Shape::kW][Shape::kC];
|
|
|
|
//
|
|
// Methods
|
|
//
|
|
|
|
/// Returns a pointer to the raw data
|
|
CUTLASS_DEVICE
|
|
Scalar *data() { return reinterpret_cast<Scalar *>(&storage[0][0][0][0]); }
|
|
|
|
/// Returns a const pointer to the raw data
|
|
CUTLASS_DEVICE
|
|
Scalar const *data() const { return reinterpret_cast<Scalar const *>(&storage[0][0][0][0]); }
|
|
|
|
/// Returns a TensorRef object pointing to the data
|
|
CUTLASS_DEVICE
|
|
TensorRef reference() {
|
|
return TensorRef(data(), make_Coord(Strides::kD, Strides::kH, Strides::kW, Strides::kC));
|
|
}
|
|
|
|
/// Returns a TensorRef object pointing to the data
|
|
CUTLASS_DEVICE
|
|
ConstTensorRef reference() const {
|
|
return ConstTensorRef(data(), make_Coord(Strides::kD, Strides::kH, Strides::kW, Strides::kC));
|
|
}
|
|
|
|
/// Returns a TensorView object pointing to the data
|
|
CUTLASS_DEVICE
|
|
TensorView view() {
|
|
return TensorView(
|
|
data(),
|
|
make_Coord(Strides::kD, Strides::kH, Strides::kW, Strides::kC),
|
|
make_Coord(Shape::kD, Shape::kH, Shape::kW, Shape::kC));
|
|
}
|
|
|
|
/// Returns a TensorView object pointing to the data
|
|
CUTLASS_DEVICE
|
|
ConstTensorView view() const {
|
|
return TensorView(
|
|
data(),
|
|
make_Coord(Strides::kD, Strides::kH, Strides::kW, Strides::kC),
|
|
make_Coord(Shape::kD, Shape::kH, Shape::kW, Shape::kC));
|
|
}
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Manages a pair of tile allocations as if they are one allocation
|
|
template <typename First_, typename Second_>
|
|
struct ZipTileAllocation {
|
|
//
|
|
// Type definitions
|
|
//
|
|
|
|
/// First tensor allocation
|
|
typedef First_ First;
|
|
|
|
/// Second tensor allocation
|
|
typedef Second_ Second;
|
|
|
|
/// Defines the tensor reference for this allocation
|
|
typedef ZipTensorRef<typename First::TensorRef, typename Second::TensorRef> TensorRef;
|
|
|
|
/// Defines the tensor reference for this allocation
|
|
typedef ZipTensorRef<typename First::ConstTensorRef, typename Second::ConstTensorRef>
|
|
ConstTensorRef;
|
|
|
|
//
|
|
// Data members
|
|
//
|
|
|
|
/// First tensor allocation
|
|
First first;
|
|
|
|
/// Second tensor allocation
|
|
Second second;
|
|
|
|
//
|
|
// Methods
|
|
//
|
|
|
|
/// Returns a TensorRef object pointing to the data
|
|
CUTLASS_DEVICE
|
|
TensorRef reference() { return TensorRef(first.reference(), second.reference()); }
|
|
|
|
/// Returns a TensorRef object pointing to the data
|
|
CUTLASS_DEVICE
|
|
ConstTensorRef reference() const { return ConstTensorRef(first.reference(), second.reference()); }
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Manages a pair of tile allocations as if they are one allocation
|
|
template <typename First_, typename Second_, typename Third_>
|
|
struct ZipTileAllocationTriple {
|
|
//
|
|
// Type definitions
|
|
//
|
|
|
|
/// First tensor allocation
|
|
typedef First_ First;
|
|
|
|
/// Second tensor allocation
|
|
typedef Second_ Second;
|
|
|
|
/// meta data tensor allocation
|
|
typedef Third_ Third;
|
|
|
|
/// Defines the tensor reference for this allocation
|
|
typedef Zip3TensorRef<typename First::TensorRef,
|
|
typename Second::TensorRef,
|
|
typename Third::TensorRef> TensorRef;
|
|
|
|
/// Defines the tensor reference for this allocation
|
|
typedef Zip3TensorRef<typename First::ConstTensorRef,
|
|
typename Second::ConstTensorRef,
|
|
typename Third::ConstTensorRef>
|
|
ConstTensorRef;
|
|
|
|
//
|
|
// Data members
|
|
//
|
|
|
|
/// First tensor allocation
|
|
First first;
|
|
|
|
/// Second tensor allocation
|
|
Second second;
|
|
|
|
/// meta data tensor
|
|
Third third;
|
|
//
|
|
// Methods
|
|
//
|
|
|
|
/// Returns a TensorRef object pointing to the data
|
|
CUTLASS_DEVICE
|
|
TensorRef reference() {
|
|
return TensorRef(first.reference(), second.reference(), third.reference());
|
|
}
|
|
|
|
/// Returns a TensorRef object pointing to the data
|
|
CUTLASS_DEVICE
|
|
ConstTensorRef reference() const {
|
|
return ConstTensorRef(first.reference(), second.reference(), third.reference());
|
|
}
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
} // namespace cutlass
|