未验证 提交 b89dd86f 编写于 作者: Z Zhang Ting 提交者: GitHub

Update eigen (#23203)

* update eigen, test=develop

* remove patches, test=develop

* add definition of -fabi-version, test=develop

* add patch for TensorBlock.h, test=develop

* test windows, test=develop

* only update eigen for Linux, test=develop

* add code comments, test=develop
上级 0be4b04d
......@@ -69,6 +69,10 @@ endif()
if(WITH_GPU)
add_definitions(-DPADDLE_WITH_CUDA)
add_definitions(-DEIGEN_USE_GPU)
# The compiler fully support const expressions since c++14,
# but Eigen use some const expressions such as std::max and std::min, which are not supported in c++11
# use following definition to set EIGEN_HAS_CONSTEXPR=0 to avoid compilation error in c++11
add_definitions(-DEIGEN_MAX_CPP_VER=11)
FIND_PACKAGE(CUDA REQUIRED)
......
......@@ -14,10 +14,17 @@
include(ExternalProject)
# update eigen to the commit id 4da2c6b1 on 03/19/2020
set(EIGEN_PREFIX_DIR ${THIRD_PARTY_PATH}/eigen3)
set(EIGEN_SOURCE_DIR ${THIRD_PARTY_PATH}/eigen3/src/extern_eigen3)
set(EIGEN_REPOSITORY https://github.com/eigenteam/eigen-git-mirror.git)
set(EIGEN_TAG 917060c364181f33a735dc023818d5a54f60e54c)
set(EIGEN_REPOSITORY https://gitlab.com/libeigen/eigen.git)
set(EIGEN_TAG 4da2c6b1974827b1999bab652a3d4703e1992d26)
# the recent version of eigen will cause compilation error on windows
if(WIN32)
set(EIGEN_REPOSITORY https://github.com/eigenteam/eigen-git-mirror.git)
set(EIGEN_TAG 917060c364181f33a735dc023818d5a54f60e54c)
endif()
# eigen on cuda9.1 missing header of math_funtions.hpp
# https://stackoverflow.com/questions/43113508/math-functions-hpp-not-found-when-using-cuda-with-eigen
......@@ -35,6 +42,16 @@ if(WIN32)
file(TO_NATIVE_PATH ${PADDLE_SOURCE_DIR}/patches/eigen/Half.h native_src)
file(TO_NATIVE_PATH ${EIGEN_SOURCE_DIR}/Eigen/src/Core/arch/CUDA/Half.h native_dst)
set(EIGEN_PATCH_COMMAND copy ${native_src} ${native_dst} /Y)
elseif(LINUX)
# For gxx=4.8, __GXX_ABI_VERSION is less than 1004
# which will cause a compilation error in Geometry_SSE.h:38:
# "no matching function for call to 'pmul(Eigen::internal::Packet4f&, __m128)"
# refer to: https://gitlab.com/libeigen/eigen/-/blob/4da2c6b1974827b1999bab652a3d4703e1992d26/Eigen/src/Core/arch/SSE/PacketMath.h#L33-60
# add -fabi-version=4 could avoid above error, but will cause "double free corruption" when compile with gcc8
# so use following patch to solve compilation error with different version of gcc.
file(TO_NATIVE_PATH ${PADDLE_SOURCE_DIR}/patches/eigen/Geometry_SSE.h native_src)
file(TO_NATIVE_PATH ${EIGEN_SOURCE_DIR}/Eigen/src/Geometry/arch/Geometry_SSE.h native_dst)
set(EIGEN_PATCH_COMMAND cp ${native_src} ${native_dst})
endif()
set(EIGEN_INCLUDE_DIR ${EIGEN_SOURCE_DIR})
......
......@@ -176,15 +176,26 @@ class EigenCudaStreamDevice : public Eigen::StreamInterface {
void* scratchpad() const override {
if (scratch_ == NULL) {
// windows use an old version of eigen that uses kCudaScratchSize,
// once windows updates eigen to a recent version, the following code
// can use kGpuScratchSize uniformly
#ifdef _WIN32
scratch_ = allocate(Eigen::kCudaScratchSize + sizeof(unsigned int));
#else
scratch_ = allocate(Eigen::kGpuScratchSize + sizeof(unsigned int));
#endif
}
return scratch_;
}
unsigned int* semaphore() const override {
if (semaphore_ == NULL) {
#ifdef _WIN32
char* scratch =
static_cast<char*>(scratchpad()) + Eigen::kCudaScratchSize;
#else
char* scratch = static_cast<char*>(scratchpad()) + Eigen::kGpuScratchSize;
#endif
semaphore_ = reinterpret_cast<unsigned int*>(scratch);
PADDLE_ENFORCE_CUDA_SUCCESS(
cudaMemsetAsync(semaphore_, 0, sizeof(unsigned int), *stream_));
......
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Rohit Garg <rpg.314@gmail.com>
// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_GEOMETRY_SSE_H
#define EIGEN_GEOMETRY_SSE_H
namespace Eigen {
namespace internal {
template <class Derived, class OtherDerived>
struct quat_product<Architecture::SSE, Derived, OtherDerived, float> {
enum {
AAlignment = traits<Derived>::Alignment,
BAlignment = traits<OtherDerived>::Alignment,
ResAlignment = traits<Quaternion<float>>::Alignment
};
static inline Quaternion<float> run(const QuaternionBase<Derived>& _a,
const QuaternionBase<OtherDerived>& _b) {
evaluator<typename Derived::Coefficients> ae(_a.coeffs());
evaluator<typename OtherDerived::Coefficients> be(_b.coeffs());
Quaternion<float> res;
const __m128 mask = _mm_setr_ps(0.f, 0.f, 0.f, -0.f);
__m128 a = ae.template packet<AAlignment, __m128>(0);
__m128 b = be.template packet<BAlignment, __m128>(0);
__m128 s1 =
pmul(vec4f_swizzle1(a, 1, 2, 0, 2), vec4f_swizzle1(b, 2, 0, 1, 2));
__m128 s2 =
pmul(vec4f_swizzle1(a, 3, 3, 3, 1), vec4f_swizzle1(b, 0, 1, 2, 1));
pstoret<float, __m128, ResAlignment>(
&res.x(),
padd(psub(pmul(a, vec4f_swizzle1(b, 3, 3, 3, 3)),
pmul(vec4f_swizzle1(a, 2, 0, 1, 0),
vec4f_swizzle1(b, 1, 2, 0, 0))),
pxor(mask, padd(s1, s2))));
return res;
}
};
template <class Derived>
struct quat_conj<Architecture::SSE, Derived, float> {
enum { ResAlignment = traits<Quaternion<float>>::Alignment };
static inline Quaternion<float> run(const QuaternionBase<Derived>& q) {
evaluator<typename Derived::Coefficients> qe(q.coeffs());
Quaternion<float> res;
const Packet4f mask = _mm_setr_ps(-0.f, -0.f, -0.f, 0.f);
pstoret<float, Packet4f, ResAlignment>(
&res.x(),
pxor(mask,
qe.template packet<traits<Derived>::Alignment, Packet4f>(0)));
return res;
}
};
template <typename VectorLhs, typename VectorRhs>
struct cross3_impl<Architecture::SSE, VectorLhs, VectorRhs, float, true> {
enum {
ResAlignment =
traits<typename plain_matrix_type<VectorLhs>::type>::Alignment
};
static inline typename plain_matrix_type<VectorLhs>::type run(
const VectorLhs& lhs, const VectorRhs& rhs) {
evaluator<VectorLhs> lhs_eval(lhs);
evaluator<VectorRhs> rhs_eval(rhs);
__m128 a =
lhs_eval.template packet<traits<VectorLhs>::Alignment, __m128>(0);
__m128 b =
rhs_eval.template packet<traits<VectorRhs>::Alignment, __m128>(0);
__m128 mul1 =
pmul(vec4f_swizzle1(a, 1, 2, 0, 3), vec4f_swizzle1(b, 2, 0, 1, 3));
__m128 mul2 =
pmul(vec4f_swizzle1(a, 2, 0, 1, 3), vec4f_swizzle1(b, 1, 2, 0, 3));
typename plain_matrix_type<VectorLhs>::type res;
pstoret<float, __m128, ResAlignment>(&res.x(), psub(mul1, mul2));
return res;
}
};
template <class Derived, class OtherDerived>
struct quat_product<Architecture::SSE, Derived, OtherDerived, double> {
enum {
BAlignment = traits<OtherDerived>::Alignment,
ResAlignment = traits<Quaternion<double>>::Alignment
};
static inline Quaternion<double> run(const QuaternionBase<Derived>& _a,
const QuaternionBase<OtherDerived>& _b) {
const Packet2d mask =
_mm_castsi128_pd(_mm_set_epi32(0x0, 0x0, 0x80000000, 0x0));
Quaternion<double> res;
evaluator<typename Derived::Coefficients> ae(_a.coeffs());
evaluator<typename OtherDerived::Coefficients> be(_b.coeffs());
const double* a = _a.coeffs().data();
Packet2d b_xy = be.template packet<BAlignment, Packet2d>(0);
Packet2d b_zw = be.template packet<BAlignment, Packet2d>(2);
Packet2d a_xx = pset1<Packet2d>(a[0]);
Packet2d a_yy = pset1<Packet2d>(a[1]);
Packet2d a_zz = pset1<Packet2d>(a[2]);
Packet2d a_ww = pset1<Packet2d>(a[3]);
// two temporaries:
Packet2d t1, t2;
/*
* t1 = ww*xy + yy*zw
* t2 = zz*xy - xx*zw
* res.xy = t1 +/- swap(t2)
*/
t1 = padd(pmul(a_ww, b_xy), pmul(a_yy, b_zw));
t2 = psub(pmul(a_zz, b_xy), pmul(a_xx, b_zw));
#ifdef EIGEN_VECTORIZE_SSE3
EIGEN_UNUSED_VARIABLE(mask)
pstoret<double, Packet2d, ResAlignment>(&res.x(),
_mm_addsub_pd(t1, preverse(t2)));
#else
pstoret<double, Packet2d, ResAlignment>(&res.x(),
padd(t1, pxor(mask, preverse(t2))));
#endif
/*
* t1 = ww*zw - yy*xy
* t2 = zz*zw + xx*xy
* res.zw = t1 -/+ swap(t2) = swap( swap(t1) +/- t2)
*/
t1 = psub(pmul(a_ww, b_zw), pmul(a_yy, b_xy));
t2 = padd(pmul(a_zz, b_zw), pmul(a_xx, b_xy));
#ifdef EIGEN_VECTORIZE_SSE3
EIGEN_UNUSED_VARIABLE(mask)
pstoret<double, Packet2d, ResAlignment>(
&res.z(), preverse(_mm_addsub_pd(preverse(t1), t2)));
#else
pstoret<double, Packet2d, ResAlignment>(&res.z(),
psub(t1, pxor(mask, preverse(t2))));
#endif
return res;
}
};
template <class Derived>
struct quat_conj<Architecture::SSE, Derived, double> {
enum { ResAlignment = traits<Quaternion<double>>::Alignment };
static inline Quaternion<double> run(const QuaternionBase<Derived>& q) {
evaluator<typename Derived::Coefficients> qe(q.coeffs());
Quaternion<double> res;
const Packet2d mask0 = _mm_setr_pd(-0., -0.);
const Packet2d mask2 = _mm_setr_pd(-0., 0.);
pstoret<double, Packet2d, ResAlignment>(
&res.x(),
pxor(mask0,
qe.template packet<traits<Derived>::Alignment, Packet2d>(0)));
pstoret<double, Packet2d, ResAlignment>(
&res.z(),
pxor(mask2,
qe.template packet<traits<Derived>::Alignment, Packet2d>(2)));
return res;
}
};
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_GEOMETRY_SSE_H
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