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cutlass/include/cutlass/gemm/device/gemm_universal_adapter.h
Andrew Kerr 0e13748649 CUTLASS 2.5
2021-02-26 09:58:26 -05:00

262 lines
8.8 KiB
C++

/***************************************************************************************************
* Copyright (c) 2017-2021, 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.
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* to endorse or promote products derived from this software without specific prior written
* permission.
*
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**************************************************************************************************/
/*!
\file
\brief The universal GEMM accommodates serial reductions, parallel reductions, batched strided, and
batched array variants.
*/
#pragma once
#include "cutlass/cutlass.h"
#include "cutlass/gemm/device/gemm_universal_base.h"
////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace gemm {
namespace device {
/////////////////////////////////////////////////////////////////////////////////////////////////
namespace detail {
template <
typename ElementA_,
typename LayoutA_,
ComplexTransform TransformA,
int AlignmentA,
typename ElementB_,
typename LayoutB_,
ComplexTransform TransformB,
int AlignmentB,
typename LayoutC_,
bool Transpose
>
struct MapArguments {
using ElementA = ElementA_;
using LayoutA = LayoutA_;
static ComplexTransform const kTransformA = TransformA;
static int const kAlignmentA = AlignmentA;
using ElementB = ElementB_;
using LayoutB = LayoutB_;
static ComplexTransform const kTransformB = TransformB;
static int const kAlignmentB = AlignmentB;
using LayoutC = LayoutC_;
};
template <
typename ElementA_,
typename LayoutA_,
ComplexTransform TransformA,
int AlignmentA,
typename ElementB_,
typename LayoutB_,
ComplexTransform TransformB,
int AlignmentB,
typename LayoutC_
>
struct MapArguments<
ElementA_,
LayoutA_,
TransformA,
AlignmentA,
ElementB_,
LayoutB_,
TransformB,
AlignmentB,
LayoutC_,
true
> {
using ElementA = ElementB_;
using LayoutA = typename layout::LayoutTranspose<LayoutB_>::type;
static ComplexTransform const kTransformA = TransformB;
static int const kAlignmentA = AlignmentB;
using ElementB = ElementA_;
using LayoutB = typename layout::LayoutTranspose<LayoutA_>::type;
static ComplexTransform const kTransformB = TransformA;
static int const kAlignmentB = AlignmentA;
using LayoutC = typename layout::LayoutTranspose<LayoutC_>::type;
};
};
/////////////////////////////////////////////////////////////////////////////////////////////////
template <typename GemmKernel_>
class GemmUniversalAdapter {
public:
using GemmKernel = GemmKernel_;
static bool const kInternalTranspose =
std::is_same<typename GemmKernel::LayoutC, cutlass::layout::RowMajor>::value;
using ThreadblockShape = typename GemmKernel::Mma::Shape;
using WarpShape = typename GemmKernel::WarpShape;
using InstructionShape = typename GemmKernel::InstructionShape;
// warp-level, arch-level (instruction), math operator
using WarpMmaOperator = typename GemmKernel::Mma::Policy::Operator;
using ArchMmaOperator = typename WarpMmaOperator::ArchMmaOperator;
using MathOperator = typename ArchMmaOperator::Operator;
// Operator class and arch tag extract bottom-up
// set it for top-level gemm device-level template
using OperatorClass = typename WarpMmaOperator::OperatorClass;
using ArchTag = typename WarpMmaOperator::ArchTag;
// Type, layout, and complex transform deliberately exchanged with B
using MapArguments = detail::MapArguments<
typename GemmKernel::ElementA,
typename GemmKernel::LayoutA,
GemmKernel::kTransformA,
GemmKernel::kAlignmentA,
typename GemmKernel::ElementB,
typename GemmKernel::LayoutB,
GemmKernel::kTransformB,
GemmKernel::kAlignmentB,
typename GemmKernel::LayoutC,
kInternalTranspose
>;
using ElementA = typename MapArguments::ElementA;
using LayoutA = typename MapArguments::LayoutA;
static ComplexTransform const kTransformA = MapArguments::kTransformA;
static int const kAlignmentA = GemmKernel::kAlignmentA;
using ElementB = typename MapArguments::ElementB;
using LayoutB = typename MapArguments::LayoutB;
static ComplexTransform const kTransformB = MapArguments::kTransformB;
static int const kAlignmentB = GemmKernel::kAlignmentB;
using ElementC = typename GemmKernel::ElementC;
using LayoutC = typename MapArguments::LayoutC;
static int const kAlignmentC = GemmKernel::kAlignmentC;
using TensorRefA = TensorRef<ElementA const, LayoutA>;
using TensorRefB = TensorRef<ElementB const, LayoutB>;
using TensorRefC = TensorRef<ElementC const, LayoutC>;
using TensorRefD = TensorRef<ElementC, LayoutC>;
using ElementAccumulator = typename GemmKernel::Mma::Policy::Operator::ElementC;
static int const kStages = GemmKernel::Mma::kStages;
using EpilogueOutputOp = typename GemmKernel::EpilogueOutputOp;
using ThreadblockSwizzle = typename GemmKernel::ThreadblockSwizzle;
using Operator = typename GemmKernel::Operator;
using UnderlyingOperator = GemmUniversalBase<GemmKernel>;
using Arguments = typename UnderlyingOperator::Arguments;
private:
UnderlyingOperator underlying_operator_;
public:
/// Constructs the GEMM.
GemmUniversalAdapter() { }
/// Helper to construct a transposed equivalent for the underying GEMM operator
static Arguments to_underlying_arguments(Arguments const &args) {
if (kInternalTranspose) {
return args.transposed_problem();
}
else {
return args;
}
}
/// Determines whether the GEMM can execute the given problem.
static Status can_implement(Arguments const &args) {
return UnderlyingOperator::can_implement(to_underlying_arguments(args));
}
/// Gets the workspace size
static size_t get_workspace_size(Arguments const &args) {
return UnderlyingOperator::get_workspace_size(to_underlying_arguments(args));
}
/// Computes the grid shape
static dim3 get_grid_shape(Arguments const &args) {
return UnderlyingOperator::get_grid_shape(to_underlying_arguments(args));
}
/// Computes the maximum number of active blocks per multiprocessor
static int maximum_active_blocks(int smem_capacity = -1) {
return UnderlyingOperator::maximum_active_blocks(smem_capacity);
}
/// Initializes GEMM state from arguments.
Status initialize(Arguments const &args, void *workspace = nullptr, cudaStream_t stream = nullptr) {
return underlying_operator_.initialize(to_underlying_arguments(args), workspace, stream);
}
/// Lightweight update given a subset of arguments
Status update(Arguments const &args, void *workspace = nullptr) {
return underlying_operator_.update(to_underlying_arguments(args), workspace);
}
/// Runs the kernel using initialized state.
Status run(cudaStream_t stream = nullptr) {
return underlying_operator_.run(stream);
}
/// Runs the kernel using initialized state.
Status operator()(cudaStream_t stream = nullptr) {
return run(stream);
}
/// Runs the kernel using initialized state.
Status operator()(
Arguments const &args,
void *workspace = nullptr,
cudaStream_t stream = nullptr) {
Status status = initialize(args, workspace, stream);
if (status == Status::kSuccess) {
status = run(stream);
}
return status;
}
};
/////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace device
} // namespace gemm
} // namespace cutlass
/////////////////////////////////////////////////////////////////////////////////////////////////