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Add a EIGEN_NO_CUDA option, and introduce EIGEN_CUDACC and EIGEN_CUDA_ARCH aliases
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18
Eigen/Core
18
Eigen/Core
@@ -14,8 +14,16 @@
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// first thing Eigen does: stop the compiler from committing suicide
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#include "src/Core/util/DisableStupidWarnings.h"
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#if defined(__CUDACC__) && !defined(EIGEN_NO_CUDA)
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#define EIGEN_CUDACC __CUDACC__
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#endif
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#if defined(__CUDA_ARCH__) && !defined(EIGEN_NO_CUDA)
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#define EIGEN_CUDA_ARCH __CUDA_ARCH__
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#endif
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// Handle NVCC/CUDA/SYCL
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#if defined(__CUDACC__) || defined(__SYCL_DEVICE_ONLY__)
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#if defined(EIGEN_CUDACC) || defined(__SYCL_DEVICE_ONLY__)
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// Do not try asserts on CUDA and SYCL!
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#ifndef EIGEN_NO_DEBUG
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#define EIGEN_NO_DEBUG
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@@ -30,7 +38,7 @@
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#endif
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// All functions callable from CUDA code must be qualified with __device__
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#ifdef __CUDACC__
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#ifdef EIGEN_CUDACC
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// Do not try to vectorize on CUDA and SYCL!
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#ifndef EIGEN_DONT_VECTORIZE
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#define EIGEN_DONT_VECTORIZE
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@@ -50,13 +58,13 @@
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// When compiling CUDA device code with NVCC, pull in math functions from the
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// global namespace. In host mode, and when device doee with clang, use the
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// std versions.
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#if defined(__CUDA_ARCH__) && defined(__NVCC__)
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#if defined(EIGEN_CUDA_ARCH) && defined(__NVCC__)
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#define EIGEN_USING_STD_MATH(FUNC) using ::FUNC;
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#else
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#define EIGEN_USING_STD_MATH(FUNC) using std::FUNC;
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#endif
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#if (defined(_CPPUNWIND) || defined(__EXCEPTIONS)) && !defined(__CUDA_ARCH__) && !defined(EIGEN_EXCEPTIONS) && !defined(EIGEN_USE_SYCL)
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#if (defined(_CPPUNWIND) || defined(__EXCEPTIONS)) && !defined(EIGEN_CUDA_ARCH) && !defined(EIGEN_EXCEPTIONS) && !defined(EIGEN_USE_SYCL)
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#define EIGEN_EXCEPTIONS
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#endif
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@@ -233,7 +241,7 @@
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#define EIGEN_HAS_FP16_C
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#endif
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#if defined __CUDACC__
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#if defined EIGEN_CUDACC
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#define EIGEN_VECTORIZE_CUDA
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#include <vector_types.h>
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#if defined __CUDACC_VER__ && __CUDACC_VER__ >= 70500
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