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CUTLASS 2.2 (#96)

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Adds support for NVIDIA Ampere Architecture features. CUDA 11 Toolkit recommended.
This commit is contained in:
Andrew Kerr
2020-06-08 16:17:35 -07:00
committed by GitHub
parent e33d90b361
commit 86931fef85
584 changed files with 51080 additions and 3373 deletions
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tools/util/include/cutlass/util/command_line.h
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/******************************************************************************
* Copyright (c) 2011-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2011-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are not permitted.
tools/util/include/cutlass/util/debug.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/device_dump.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/device_memory.h
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/******************************************************************************
* Copyright (c) 2011-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2011-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are not permitted.
tools/util/include/cutlass/util/distribution.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/exceptions.h
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/******************************************************************************
* Copyright (c) 2011-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2011-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are not permitted.
tools/util/include/cutlass/util/host_reorder.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/host_tensor.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/host_tensor_planar_complex.h
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/***************************************************************************************************
* Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/detail/inner_product.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/gemm.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/gemm_planar_complex.h
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/***************************************************************************************************
* Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/kernel/gemm.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/kernel/tensor_elementwise.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/kernel/tensor_foreach.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/tensor_compare.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/tensor_fill.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/tensor_foreach.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/device/tensor_relu.h
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/***************************************************************************************************
* Copyright (c) 2017-2020, 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 device-side elementwise operations on TensorView. Note, the operations defined
in this header are not specialized for any particular data layout and are therefore not
intended to offer the best possible performance. Rather, they are intended to be generic
reference implementations to support the CUTLASS unit tests.
*/
#pragma once
// Cutlass includes
#include "cutlass/cutlass.h"
#include "cutlass/tensor_view.h"
#include "cutlass/util/reference/device/tensor_foreach.h"
///////////////////////////////////////////////////////////////////////////////////////////////////
namespace cutlass {
namespace reference {
namespace device {
///////////////////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////////////////
namespace detail {
template <
typename Element, ///< Element type
typename Layout> ///< Layout function
struct TensorReLuFunc {
/// View type
using TensorView = TensorView<Element, Layout>;
/// Coordinate in tensor's index space
using TensorCoord = typename TensorView::TensorCoord;
/// Parameters structure
struct Params {
//
// Data members
//
TensorView view;
Element threshold;
//
// Methods
//
Params(
TensorView view_ = TensorView(),
Element threshold_ = Element(0)
):
view(view_), threshold(threshold_) {
}
};
//
// Data members
//
Params params;
//
// Methods
//
CUTLASS_DEVICE
TensorReLuFunc(Params const &params): params(params) {
}
CUTLASS_DEVICE
void operator()(TensorCoord const &coord) {
Element const & value = params.view.at(coord);
params.view.at(coord) = (value < params.threshold) ? params.threshold : value;
}
};
} // namespace detail
///////////////////////////////////////////////////////////////////////////////////////////////////
/// Apply ReLu on a tensor
template <
typename Element, ///< Element type
typename Layout> ///< Layout function
void TensorReLu(
TensorView<Element, Layout> view, ///< destination tensor
Element threshold = Element(0)) { ///< ReLu threshold
using Func = detail::TensorReLuFunc<Element, Layout>;
using Params = typename Func::Params;
TensorForEach<Func, Layout::kRank, Params>(
view.extent(),
Params(view, threshold)
);
}
///////////////////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace device
} // namespace reference
} // namespace cutlass
tools/util/include/cutlass/util/reference/device/thread/gemm.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/host/gemm.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
@@ -37,11 +37,41 @@
#include "cutlass/tensor_view.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/arch/mma.h"
#include "cutlass/util/host_tensor.h"
namespace cutlass {
namespace reference {
namespace host {
template<typename Out, typename In>
struct CastIfScalar {
static Out cast(In in) {
return Out(in);
}
};
template<typename OutScalar, typename In>
struct CastIfScalar<cutlass::complex<OutScalar>, In> {
typedef cutlass::complex<OutScalar> Out;
static Out cast(In in) {
return Out(static_cast<OutScalar>(in));
}
};
template<typename OutScalar, typename InScalar>
struct CastIfScalar<cutlass::complex<OutScalar>, cutlass::complex<InScalar>> {
typedef cutlass::complex<OutScalar> Out;
typedef cutlass::complex<InScalar> In;
static Out cast(In in) {
return Out(in);
}
};
template<typename Out, typename In>
Out cast_if_scalar(In in) {
return CastIfScalar<Out, In>::cast(in);
}
////////////////////////////////////////////////////////////////////////////////////////////////////
/// Computes a general matrix product among matrices (tensors of rank=2) pointed to by TensorRef
@@ -107,7 +137,10 @@ void compute_gemm(
ElementA a = tensor_a.at(MatrixCoord(row, k_block));
ElementB b = tensor_b.at(MatrixCoord(k_block, col));
accum[i][j] = inner_product_op(ComputeType(a), ComputeType(b), accum[i][j]);
ComputeType compute_a(cast_if_scalar<ComputeType>(a));
ComputeType compute_b(cast_if_scalar<ComputeType>(b));
accum[i][j] = inner_product_op(compute_a, compute_b, accum[i][j]);
}
}
}
tools/util/include/cutlass/util/reference/host/gemm_complex.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/host/gemm_planar_complex.h
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/***************************************************************************************************
* Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/host/tensor_compare.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/host/tensor_copy.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/host/tensor_elementwise.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/host/tensor_fill.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/host/tensor_foreach.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/reference/host/tensor_norm.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/tensor_view_io.h
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/***************************************************************************************************
* Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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:
tools/util/include/cutlass/util/type_traits.h
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/***************************************************************************************************
* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017-2020, 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: