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Fix CUDA device new and delete, and add test.
HIP does not support new/delete on device, so test is skipped.
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@ -780,32 +780,45 @@ template<typename T> void swap(scoped_array<T> &a,scoped_array<T> &b)
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#else
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#if EIGEN_MAX_ALIGN_BYTES!=0
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// HIP does not support new/delete on device.
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#if EIGEN_MAX_ALIGN_BYTES!=0 && !defined(EIGEN_HIP_DEVICE_COMPILE)
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#define EIGEN_MAKE_ALIGNED_OPERATOR_NEW_NOTHROW(NeedsToAlign) \
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EIGEN_DEVICE_FUNC \
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void* operator new(std::size_t size, const std::nothrow_t&) EIGEN_NO_THROW { \
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EIGEN_TRY { return Eigen::internal::conditional_aligned_malloc<NeedsToAlign>(size); } \
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EIGEN_CATCH (...) { return 0; } \
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}
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#define EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(NeedsToAlign) \
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EIGEN_DEVICE_FUNC \
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void *operator new(std::size_t size) { \
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return Eigen::internal::conditional_aligned_malloc<NeedsToAlign>(size); \
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} \
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EIGEN_DEVICE_FUNC \
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void *operator new[](std::size_t size) { \
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return Eigen::internal::conditional_aligned_malloc<NeedsToAlign>(size); \
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} \
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EIGEN_DEVICE_FUNC \
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void operator delete(void * ptr) EIGEN_NO_THROW { Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); } \
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EIGEN_DEVICE_FUNC \
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void operator delete[](void * ptr) EIGEN_NO_THROW { Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); } \
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EIGEN_DEVICE_FUNC \
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void operator delete(void * ptr, std::size_t /* sz */) EIGEN_NO_THROW { Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); } \
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EIGEN_DEVICE_FUNC \
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void operator delete[](void * ptr, std::size_t /* sz */) EIGEN_NO_THROW { Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); } \
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/* in-place new and delete. since (at least afaik) there is no actual */ \
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/* memory allocated we can safely let the default implementation handle */ \
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/* this particular case. */ \
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EIGEN_DEVICE_FUNC \
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static void *operator new(std::size_t size, void *ptr) { return ::operator new(size,ptr); } \
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EIGEN_DEVICE_FUNC \
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static void *operator new[](std::size_t size, void* ptr) { return ::operator new[](size,ptr); } \
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EIGEN_DEVICE_FUNC \
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void operator delete(void * memory, void *ptr) EIGEN_NO_THROW { return ::operator delete(memory,ptr); } \
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EIGEN_DEVICE_FUNC \
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void operator delete[](void * memory, void *ptr) EIGEN_NO_THROW { return ::operator delete[](memory,ptr); } \
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/* nothrow-new (returns zero instead of std::bad_alloc) */ \
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EIGEN_MAKE_ALIGNED_OPERATOR_NEW_NOTHROW(NeedsToAlign) \
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EIGEN_DEVICE_FUNC \
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void operator delete(void *ptr, const std::nothrow_t&) EIGEN_NO_THROW { \
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Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); \
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} \
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@ -233,6 +233,26 @@ struct replicate {
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}
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};
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template<typename T>
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struct alloc_new_delete {
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EIGEN_DEVICE_FUNC
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void operator()(int i, const typename T::Scalar* in, typename T::Scalar* out) const
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{
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int offset = 2*i*T::MaxSizeAtCompileTime;
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T* x = new T(in + offset);
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Eigen::Map<T> u(out + offset);
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u = *x;
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delete x;
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offset += T::MaxSizeAtCompileTime;
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T* y = new T[1];
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y[0] = T(in + offset);
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Eigen::Map<T> v(out + offset);
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v = y[0];
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delete[] y;
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}
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};
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template<typename T>
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struct redux {
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EIGEN_DEVICE_FUNC
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@ -418,4 +438,5 @@ EIGEN_DECLARE_TEST(gpu_basic)
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typedef Matrix<float,6,6> Matrix6f;
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CALL_SUBTEST( run_and_compare_to_gpu(eigenvalues<Matrix6f>(), nthreads, in, out) );
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#endif
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CALL_SUBTEST( run_and_compare_to_gpu(alloc_new_delete<Vector3f>(), nthreads, in, out) );
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}
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