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team-dmm / torch python

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torch / lib / libtorch_cuda_linalg.so
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rowElll_ZN2at4_ops8to_dtype4callERKNS_6TensorEN3c1010ScalarTypeEbbSt8optionalINS5_12MemoryFormatEE_ZNK2at10TensorBase14const_data_ptrIlLi0EEEPKT_v_ZN3c104cuda18device_synchronizeEvcusolverDnXsytrs_bufferSizecusolverDnXsytrs_ZN2at4cuda6solver17xgeqrf_bufferSizeIdEEvP17cusolverDnContextP16cusolverDnParamsllPKT_lS9_PmSA__ZN2at4cuda6solver6xgeqrfIdEEvP17cusolverDnContextP16cusolverDnParamsllPT_lS8_S8_mS8_mPi_ZN2at4cuda6solver17xgeqrf_bufferSizeIN3c107complexIdEEEEvP17cusolverDnContextP16cusolverDnParamsllPKT_lSC_PmSD__ZN2at4cuda6solver6xgeqrfIN3c107complexIdEEEEvP17cusolverDnContextP16cusolverDnParamsllPT_lSB_SB_mSB_mPi_ZN2at4cuda6solver17xgeqrf_bufferSizeIfEEvP17cusolverDnContextP16cusolverDnParamsllPKT_lS9_PmSA__ZN2at4cuda6solver6xgeqrfIfEEvP17cusolverDnContextP16cusolverDnParamsllPT_lS8_S8_mS8_mPi_ZN2at4cuda6solver17xgeqrf_bufferSizeIN3c107complexIfEEEEvP17cusolverDnContextP16cusolverDnParamsllPKT_lSC_PmSD__ZN2at4cuda6solver6xgeqrfIN3c107complexIfEEEEvP17cusolverDnContextP16cusolverDnParamsllPT_lSB_SB_mSB_mPi_ZN2at4cuda6solver31gesvdaStridedBatched_buffersizeIddEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_ixPT0_xS7_ixS7_ixPii_ZN2at4cuda6solver20gesvdaStridedBatchedIddEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_ixPT0_xS7_ixS7_ixS7_iPiPdi_ZN2at4cuda6solver31gesvdaStridedBatched_buffersizeIN3c107complexIdEEdEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_ixPT0_xSA_ixSA_ixPii_ZN2at4cuda6solver20gesvdaStridedBatchedIN3c107complexIdEEdEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_ixPT0_xSA_ixSA_ixSA_iPiPdi_ZN2at4cuda6solver31gesvdaStridedBatched_buffersizeIffEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_ixPT0_xS7_ixS7_ixPii_ZN2at4cuda6solver20gesvdaStridedBatchedIffEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_ixPT0_xS7_ixS7_ixS7_iPiPdi_ZN2at4cuda6solver31gesvdaStridedBatched_buffersizeIN3c107complexIfEEfEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_ixPT0_xSA_ixSA_ixPii_ZN2at4cuda6solver20gesvdaStridedBatchedIN3c107complexIfEEfEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_ixPT0_xSA_ixSA_ixSA_iPiPdi_ZN2at4cuda6solver16gesvd_buffersizeIdEEvP17cusolverDnContextiiPi_ZN2at4cuda6solver5gesvdIddEEvP17cusolverDnContextaaiiPT_iPT0_S6_iS6_iS6_iS8_Pi_ZN2at4_ops10select_int4callERKNS_6TensorElN3c106SymIntE_ZN2at4cuda6solver16gesvd_buffersizeIN3c107complexIdEEEEvP17cusolverDnContextiiPi_ZN2at4cuda6solver5gesvdIN3c107complexIdEEdEEvP17cusolverDnContextaaiiPT_iPT0_S9_iS9_iS9_iSB_Pi_ZN2at4cuda6solver16gesvd_buffersizeIfEEvP17cusolverDnContextiiPi_ZN2at4cuda6solver5gesvdIffEEvP17cusolverDnContextaaiiPT_iPT0_S6_iS6_iS6_iS8_Pi_ZN2at4cuda6solver16gesvd_buffersizeIN3c107complexIfEEEEvP17cusolverDnContextiiPi_ZN2at4cuda6solver5gesvdIN3c107complexIfEEfEEvP17cusolverDnContextaaiiPT_iPT0_S9_iS9_iS9_iSB_Pi_ZN2at4_ops4view4callERKNS_6TensorEN3c108ArrayRefINS5_6SymIntEEE_ZN2at4_ops5_conj4callERKNS_6TensorE_ZN2at4_ops13conj_physical4callERKNS_6TensorE_ZN2at4cuda6solver12potrfBatchedIdEEvP17cusolverDnContext16cublasFillMode_tiPPT_iPii_ZN2at4cuda6solver12potrfBatchedIN3c107complexIdEEEEvP17cusolverDnContext16cublasFillMode_tiPPT_iPii_ZN2at4cuda6solver17xpotrf_buffersizeEP17cusolverDnContextP16cusolverDnParams16cublasFillMode_tl14cudaDataType_tPKvlS7_PmSA__ZN2at4cuda6solver6xpotrfEP17cusolverDnContextP16cusolverDnParams16cublasFillMode_tl14cudaDataType_tPvlS7_S8_mS8_mPi_ZN2at4cuda6solver12potrfBatchedIfEEvP17cusolverDnContext16cublasFillMode_tiPPT_iPii_ZN2at4cuda6solver12potrfBatchedIN3c107complexIfEEEEvP17cusolverDnContext16cublasFillMode_tiPPT_iPii_ZN2at4cuda6solver12potrsBatchedIfEEvP17cusolverDnContext16cublasFillMode_tiiPPT_iS8_iPii_ZN2at4cuda6solver12potrsBatchedIdEEvP17cusolverDnContext16cublasFillMode_tiiPPT_iS8_iPii_ZN2at4cuda6solver12potrsBatchedIN3c107complexIdEEEEvP17cusolverDnContext16cublasFillMode_tiiPPT_iSB_iPii_ZN2at4cuda6solver12potrsBatchedIN3c107complexIfEEEEvP17cusolverDnContext16cublasFillMode_tiiPPT_iSB_iPii_ZN2at4cuda6solver16ormqr_bufferSizeIdEEvP17cusolverDnContext16cublasSideMode_t17cublasOperation_tiiiPKT_iS9_S9_iPi_ZN2at4cuda6solver5ormqrIdEEvP17cusolverDnContext16cublasSideMode_t17cublasOperation_tiiiPKT_iS9_PS7_iSA_iPi_ZN2at4cuda6solver16ormqr_bufferSizeIN3c107complexIdEEEEvP17cusolverDnContext16cublasSideMode_t17cublasOperation_tiiiPKT_iSC_SC_iPi_ZN2at4cuda6solver5ormqrIN3c107complexIdEEEEvP17cusolverDnContext16cublasSideMode_t17cublasOperation_tiiiPKT_iSC_PSA_iSD_iPi_ZN2at4cuda6solver16ormqr_bufferSizeIfEEvP17cusolverDnContext16cublasSideMode_t17cublasOperation_tiiiPKT_iS9_S9_iPi_ZN2at4cuda6solver5ormqrIfEEvP17cusolverDnContext16cublasSideMode_t17cublasOperation_tiiiPKT_iS9_PS7_iSA_iPi_ZN2at4cuda6solver16ormqr_bufferSizeIN3c107complexIfEEEEvP17cusolverDnContext16cublasSideMode_t17cublasOperation_tiiiPKT_iSC_SC_iPi_ZN2at4cuda6solver5ormqrIN3c107complexIfEEEEvP17cusolverDnContext16cublasSideMode_t17cublasOperation_tiiiPKT_iSC_PSA_iSD_iPi_ZN2at4cuda6solver16orgqr_buffersizeIdEEvP17cusolverDnContextiiiPKT_iS7_Pi_ZN2at4cuda6solver5orgqrIdEEvP17cusolverDnContextiiiPT_iPKS5_S6_iPi_ZN2at4cuda6solver16orgqr_buffersizeIN3c107complexIdEEEEvP17cusolverDnContextiiiPKT_iSA_Pi_ZN2at4cuda6solver5orgqrIN3c107complexIdEEEEvP17cusolverDnContextiiiPT_iPKS8_S9_iPi_ZN2at4cuda6solver16orgqr_buffersizeIfEEvP17cusolverDnContextiiiPKT_iS7_Pi_ZN2at4cuda6solver5orgqrIfEEvP17cusolverDnContextiiiPT_iPKS5_S6_iPi_ZN2at4cuda6solver16orgqr_buffersizeIN3c107complexIfEEEEvP17cusolverDnContextiiiPKT_iSA_Pi_ZN2at4cuda6solver5orgqrIN3c107complexIfEEEEvP17cusolverDnContextiiiPT_iPKS8_S9_iPi_ZN2at4_ops12fill__Scalar4callERNS_6TensorERKN3c106ScalarE_ZN2at4_ops8diagonal4callERKNS_6TensorElll_ZN2at4cuda6solver5getrfIdEEvP17cusolverDnContextiiPT_iPiS7__ZN2at4_ops9eq_Tensor4callERKNS_6TensorES4__ZN2at4_ops13scalar_tensor4callERKN3c106ScalarESt8optionalINS2_10ScalarTypeEES6_INS2_6LayoutEES6_INS2_6DeviceEES6_IbE_ZN2at4_ops10where_self4callERKNS_6TensorES4_S4__ZN2at4cuda6solver5getrfIN3c107complexIdEEEEvP17cusolverDnContextiiPT_iPiSA__ZN2at4cuda6solver5getrfIfEEvP17cusolverDnContextiiPT_iPiS7__ZN2at4cuda6solver5getrfIN3c107complexIfEEEEvP17cusolverDnContextiiPT_iPiSA__ZN2at4_ops11nan_to_num_4callERNS_6TensorESt8optionalIdES5_S5__ZN2at4_ops12broadcast_to4callERKNS_6TensorEN3c108ArrayRefINS5_6SymIntEEEmemcmp_ZN2at4cuda6solver5getrsIdEEvP17cusolverDnContextiiPT_iPiS6_iS7_17cublasOperation_t_ZNK2at10TensorBase8data_ptrIlEEPT_v_ZN2at4cuda6solver5getrsIN3c107complexIdEEEEvP17cusolverDnContextiiPT_iPiS9_iSA_17cublasOperation_t_ZN2at4cuda6solver5getrsIfEEvP17cusolverDnContextiiPT_iPiS6_iS7_17cublasOperation_t_ZN2at4cuda6solver5getrsIN3c107complexIfEEEEvP17cusolverDnContextiiPT_iPiS9_iSA_17cublasOperation_t_ZN2at4cuda6solver13gesvdjBatchedIN3c107complexIdEEdEEvP17cusolverDnContext17cusolverEigMode_tiiPT_iPT0_SA_iSA_iPiP10gesvdjInfoi_ZN3c1020isSharedStorageAliasERKNS_7StorageES2__ZN2at4cuda6solver13gesvdjBatchedIN3c107complexIfEEfEEvP17cusolverDnContext17cusolverEigMode_tiiPT_iPT0_SA_iSA_iPiP10gesvdjInfoi_ZN2at6native38_cholesky_inverse_cusolver_potrs_basedERNS_6TensorES2_b_ZNSt6vectorIlSaIlEE17_M_realloc_insertIJRKlEEEvN9__gnu_cxx17__normal_iteratorIPlS1_EEDpOT__ZN2at6native25_check_gesvdj_convergenceERKNS_6TensorEl_ZN3c1012WarningUtils14get_warnAlwaysEv_ZN3c107WarningC1ESt7variantIJNS0_11UserWarningENS0_18DeprecationWarningEEERKNS_14SourceLocationENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEb_ZN3c104warnERKNS_7WarningE_ZN2at4cuda6solver17gesvdj_buffersizeIN3c107complexIdEEdEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_iPT0_SA_iSA_iPiP10gesvdjInfo_ZN2at4cuda6solver6gesvdjIN3c107complexIdEEdEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_iPT0_SA_iSA_iSA_iPiP10gesvdjInfo__cxa_guard_acquire__cxa_guard_release_ZN2at4cuda6solver17gesvdj_buffersizeIN3c107complexIfEEfEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_iPT0_SA_iSA_iPiP10gesvdjInfo_ZN2at4cuda6solver6gesvdjIN3c107complexIfEEfEEvP17cusolverDnContext17cusolverEigMode_tiiiPT_iPT0_SA_iSA_iSA_iPiP10gesvdjInfo__cxa_guard_abort_ZTSN3c1011LinAlgErrorE_ZTIN3c105ErrorE_ZNK3c105Error4whatEv_ZN2at4cuda24getCurrentCUDABlasHandleEv_ZN2at4cuda4blas4trsmIdEEvP13cublasContext16cublasSideMode_t16cublasFillMode_t17cublasOperation_t16cublasDiagType_tiiPKT_SB_iPS9_i_ZN2at4cuda4blas4trsmIN3c107complexIdEEEEvP13cublasContext16cublasSideMode_t16cublasFillMode_t17cublasOperation_t16cublasDiagType_tiiPKT_SE_iPSC_i_ZN2at4cuda4blas4trsmIfEEvP13cublasContext16cublasSideMode_t16cublasFillMode_t17cublasOperation_t16cublasDiagType_tiiPKT_SB_iPS9_i_ZN2at4cuda4blas4trsmIN3c107complexIfEEEEvP13cublasContext16cublasSideMode_t16cublasFillMode_t17cublasOperation_t16cublasDiagType_tiiPKT_SE_iPSC_i_ZN2at6native19apply_geqrf_batchedIdEEvRKNS_6TensorES4__ZN2at4cuda4blas12geqrfBatchedIdEEvP13cublasContextiiPPT_iS7_Pii_ZN2at6native19apply_geqrf_batchedIfEEvRKNS_6TensorES4__ZN2at4cuda4blas12geqrfBatchedIfEEvP13cublasContextiiPPT_iS7_Pii_ZN2at6native19apply_geqrf_batchedIN3c107complexIdEEEEvRKNS_6TensorES7__ZN2at4cuda4blas12geqrfBatchedIN3c107complexIdEEEEvP13cublasContextiiPPT_iSA_Pii_ZN2at6native19apply_geqrf_batchedIN3c107complexIfEEEEvRKNS_6TensorES7__ZN2at4cuda4blas12geqrfBatchedIN3c107complexIfEEEEvP13cublasContextiiPPT_iSA_Pii_ZN2at4cuda4blas12getrfBatchedIdEEviPPT_iPiS6_i_ZN2at4cuda4blas12getrfBatchedIN3c107complexIdEEEEviPPT_iPiS9_i_ZN2at4cuda4blas12getrfBatchedIfEEviPPT_iPiS6_i_ZN2at4cuda4blas12getrfBatchedIN3c107complexIfEEEEviPPT_iPiS9_i_ZNK2at10TensorBase14const_data_ptrIiLi0EEEPKT_v_ZN2at4cuda4blas12getrsBatchedIdEEvP13cublasContext17cublasOperation_tiiPPT_iPiS8_iS9_i_ZN2at4cuda4blas12getrsBatchedIN3c107complexIdEEEEvP13cublasContext17cublasOperation_tiiPPT_iPiSB_iSC_i_ZN2at4cuda4blas12getrsBatchedIfEEvP13cublasContext17cublasOperation_tiiPPT_iPiS8_iS9_i_ZN2at4cuda4blas12getrsBatchedIN3c107complexIfEEEEvP13cublasContext17cublasOperation_tiiPPT_iPiSB_iSC_i_ZN2at4_ops12split_Tensor4callERKNS_6TensorEN3c106SymIntEl_ZN2at4cuda4blas11trsmBatchedIfEEvP13cublasContext16cublasSideMode_t16cublasFillMode_t17cublasOperation_t16cublasDiagType_tiiPKT_PPS9_iSD_ii_ZN2at4cuda4blas11trsmBatchedIdEEvP13cublasContext16cublasSideMode_t16cublas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@ùàª!Ëó«þíÿÿâªáªàªþýÿ´öÿÿóï}²àª½¯þ÷ªÖÿÿëcsð}Óøÿÿ°<þ Õý{¿©ýý{hÀ_Öbad optional accesstorch.linalg.ldl_solve: complex tensors with hermitian=True flag are not supported on CUDA./opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cppldl_solve_kernellinalg.svd: MAGMA library not found in compilation. Please rebuild with MAGMA.apply_svd_magmaCalling torch.linalg.eig on a CUDA tensor requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or recompile with MAGMA.apply_linalg_eigtriangular_solve: MAGMA library not found in compilation. Please rebuild with MAGMA.apply_triangular_solve_batched_magmalinalg.lu_factor: PyTorch was not compiled with MAGMA support.apply_lu_factor_looped_magmacholesky_solve: MAGMA library not found in compilation. Please rebuild with MAGMA.apply_cholesky_solvetorch.linalg.ldl_factor: MAGMA library not found in compilation. Please rebuild with MAGMA.apply_ldl_factor_magmavector::_M_range_insertCalling linalg.lu_solve on a CUDA tensor requires compiling PyTorch with MAGMA. Please rebuild with MAGMA.apply_lu_solve_looped_magmaapply_lu_solve_batched_magmaCalling torch.linalg.eigh/eigvalsh on a CUDA tensor requires compiling PyTorch with MAGMA. Please use PyTorch built with MAGMA support.apply_magma_eighCalling torch.geqrf on a CUDA tensor requires compiling apply_geqrfCalling linalg.lu_factor on a CUDA tensor requires compiling apply_lu_factor_batched_magmaCalling torch.linalg.cholesky on a CUDA tensor requires compiling apply_choleskycholesky_inverse_out_cudacholesky_inverse: MAGMA library not found in compilation. Please rebuild with MAGMA.apply_cholesky_inverse" not implemented for ''operator()gels_magmatorch.linalg.lstsq: MAGMA library not found in compilation. Please rebuild with MAGMA.apply_gelsgeqrf_magmalu_solve_looped_magmatriangular_solve_cudatorch.linalg.ldl_factor: complex tensors with hermitian=False flag are not supported with MAGMA backend. Currently preferred backend is , please set 'default' or 'cusolver' backend with torch.backends.cuda.preferred_linalg_libraryldl_factor_magmasvd_cudalinalg_eig_out_cudacholesky_cudaLUlinalg_eigh_magmalu_factor_magma_loopedlu_factor_magma_batchedArrayRef: invalid slice, N = ; M = ; size = /opt/pytorch/c10/util/ArrayRef.hsliceextra_meta_ && extra_meta_->symbolic_shape_meta_ INTERNAL ASSERT FAILED at "/opt/pytorch/c10/core/TensorImpl.h":1723, please report a bug to PyTorch. symbolic_shape_metacholesky_solve_cudalu_solve_batched_magmacannot create std::vector larger than max_size()ByteCharShortIntLongHalfFloatDoubleComplexHalfComplexFloatComplexDoubleBoolQInt8QUInt8QInt32BFloat16QUInt4x2QUInt2x4Bits1x8Bits2x4Bits4x2Bits8Bits16Float8_e5m2Float8_e4m3fnFloat8_e5m2fnuzFloat8_e4m3fnuzUInt16UInt32UInt64UInt1UInt2UInt3UInt4UInt5UInt6UInt7UNKNOWN_SCALAR$!`]ZWTQNKHEB?0-*'lifc<963	tensor does not have a device/opt/pytorch/c10/core/TensorImpl.hdevice_defaultThere is an error in the layout calculation logic.is_mkldnn() INTERNAL ASSERT FAILED at "/opt/pytorch/c10/core/TensorImpl.h":1290, please report a bug to PyTorch. layoutOperators taking TensorOptions cannot take a TensorOptions with options.requires_grad set as true. This isn't implemented yet./opt/pytorch/aten/src/ATen/core/CheckMemoryFormat.hcheck_tensor_options_and_extract_memory_formatCannot set memory_format both in TensorOptions and explicit argument; please delete the redundant setter.IntArrayRef contains an int that cannot be represented as a SymInt: /opt/pytorch/c10/core/SymIntArrayRef.hfromIntArrayRefSlowat::LinalgBackend::Defaultat::LinalgBackend::Cusolverat::LinalgBackend::MagmaUnknown linalg backend/opt/pytorch/aten/src/ATen/LinalgBackend.hLinalgBackendToStringvector::_M_realloc_insertSt19bad_optional_accessInvalid transpose typefalse INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":39, please report a bug to PyTorch. /opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cppto_cublascuda_int_cast: The value of () is too large to fit into a int ( bytes)/opt/pytorch/aten/src/ATen/native/cuda/MiscUtils.hcuda_int_castbatches , and other  batchescusolver error: , when calling `cusolverDnCreateParams(&params)`. This error may appear if the input matrix contains NaN. , when calling `cusolverDnCreateParams(&params)`. apply_cholesky_cusolver_potrs, when calling `cusolverDnDestroyParams(params)`, when calling `cusolverDnDestroyParams(params)`. mbatch sizegesvdjBatched requires both matrix dimensions not greater than 32, but got m =  n = m <= 32 && n <= 32 INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":462, please report a bug to PyTorch. apply_svd_cusolver_gesvdjBatched, when calling `cusolverDnCreateGesvdjInfo(&gesvdj_params)`, when calling `cusolverDnCreateGesvdjInfo(&gesvdj_params)`. , when calling `cusolverDnXgesvdjSetTolerance(gesvdj_params, std::numeric_limits<scalar_t>::epsilon())`, when calling `cusolverDnXgesvdjSetTolerance(gesvdj_params, std::numeric_limits<scalar_t>::epsilon())`. , when calling `cusolverDnXgesvdjSetMaxSweeps(gesvdj_params, cusolver_gesvdj_max_sweeps)`, when calling `cusolverDnXgesvdjSetMaxSweeps(gesvdj_params, cusolver_gesvdj_max_sweeps)`. , when calling `cusolverDnXgesvdjSetSortEig(gesvdj_params, 1)`, when calling `cusolverDnXgesvdjSetSortEig(gesvdj_params, 1)`. , when calling `cusolverDnDestroyGesvdjInfo(gesvdj_params)`, when calling `cusolverDnDestroyGesvdjInfo(gesvdj_params)`. apply_svd_cusolver_gesvdjgesvdj_buffersize failed to get needed buffer size, got lwork = lwork >= 0 INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":400, please report a bug to PyTorch. , when calling `cusolverDnCreateSyevjInfo(&syevj_params)`, when calling `cusolverDnCreateSyevjInfo(&syevj_params)`. apply_syevj, when calling `cusolverDnDestroySyevjInfo(syevj_params)`, when calling `cusolverDnDestroySyevjInfo(syevj_params)`. torch.linalg.ldl_factor: complex tensors with hermitian=True flag are not supported with cuSOLVER backend. , please set 'default' or 'magma' backend with torch.backends.cuda.preferred_linalg_libraryldl_factor_cusolverA.size(-2)A.stride(-1)ldl_factor_looped_cusolverlinalg_eigh_cudabatch_sizeapply_syevj_batched, when calling `cusolverDnXsyevjSetSortEig(syevj_params, 1)`, when calling `cusolverDnXsyevjSetSortEig(syevj_params, 1)`. ldl_solve_looped_cusolver, when calling `cusolverDnXsytrs_bufferSize( handle, uplo, n, nrhs, datatype, a_data, lda, pivots_data, datatype, b_data, ldb, &worksize_device, &worksize_host)`, when calling `cusolverDnXsytrs_bufferSize( handle, uplo, n, nrhs, datatype, a_data, lda, pivots_data, datatype, b_data, ldb, &worksize_device, &worksize_host)`. apply_ldl_solve_cusolver, when calling `cusolverDnXsytrs( handle, uplo, n, nrhs, datatype, a_working_ptr, lda, pivots_working_ptr, datatype, b_working_ptr, ldb, workdata_device_ptr, worksize_device, workdata_host_ptr, worksize_host, info.data_ptr<int>())`, when calling `cusolverDnXsytrs( handle, uplo, n, nrhs, datatype, a_working_ptr, lda, pivots_working_ptr, datatype, b_working_ptr, ldb, workdata_device_ptr, worksize_device, workdata_host_ptr, worksize_host, info.data_ptr<int>())`. geqrf_cudasvd_cuda_gesvdaStridedBatchedcusolver gesvdaStridedBatched requires m >= nm >= n INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":531, please report a bug to PyTorch. apply_svd_cusolver_gesvdaStridedBatchedgesvdaStridedBatched_buffersize failed to get needed buffer size, got lwork = lwork >= 0 INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":561, please report a bug to PyTorch. svd_cuda_gesvdcusolver gesvd only supports matrix with sizes m >= nm >= n INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":267, please report a bug to PyTorch. apply_svd_cusolver_gesvdgesvd_buffersize failed to get needed buffer size, got lwork = lwork >= 0 INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":274, please report a bug to PyTorch. cholesky_cusolverapply_cholesky_cusolver_potrf_loopedcholesky_cuda_potrs_batchednrhsldaldbcholesky_cuda_potrsorgmr_cudakorgqr_cudam >= n INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":1162, please report a bug to PyTorch. apply_orgqrn >= k INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp":1163, please report a bug to PyTorch. lu_factor_cusolverlu_solve_cusolverleading_dimensionsvd_cuda_gesvdjBatchedcholesky_cuda_potrigesvdjgesvdgesvdaIt is recommended to redo this SVD with another driver. A more accurate method will be used to compute the SVD as a fallback. svd_cuda_gesvdjtorch.linalg.svd: unknown svd driver  in svd_cusolver computation. svd_cusolvertorch.linalg.svd: During SVD computation with the selected cusolver driver,  failed to converge. Check doc at https://pytorch.org/docs/stable/generated/torch.linalg.svd.htmlIf you keep seeing this error, you may use `torch.backends.cuda.preferred_linalg_library()` to try linear algebra operators with other supported backends. See https://pytorch.org/docs/stable/backends.html#torch.backends.cuda.preferred_linalg_libraryCannot access data pointer of Tensor that doesn't have initialized dtype (e.g., caffe2::Tensor x(CPU), prior to calling mutable_data<T>() on x)data_implN3c1011LinAlgErrorEfalse INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLibBlas.cpp":57, please report a bug to PyTorch. /opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLibBlas.cppgeqrf_batched_cudalu_factor_cublasA.size(-2) == A.size(-1) INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLibBlas.cpp":110, please report a bug to PyTorch. apply_lu_factor_batched_cublaslu_solve_cublasbatch_size of LU and B must be the samebatchCount(LU) == batchCount(B) INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLibBlas.cpp":132, please report a bug to PyTorch. apply_lu_solve_batched_cublasbatch_size of LU and pivots must be the samebatchCount(LU) == batchCount(pivots.unsqueeze(-1)) INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLibBlas.cpp":133, please report a bug to PyTorch. gels_batched_cublasinfo == 0 INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLibBlas.cpp":98, please report a bug to PyTorch. apply_geqrf_batchedtorch.linalg.lstsq: only overdetermined systems (input.size(-2) >= input.size(-1)) are allowed on CUDA with cuBLAS backend.apply_gels_batchedinfo == 0 INTERNAL ASSERT FAILED at "/opt/pytorch/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLibBlas.cpp":291, please report a bug to PyTorch. ð??, when calling `cusolverDnSpotrf_bufferSize(handle, uplo, n, A, lda, lwork)`, when calling `cusolverDnSpotrf_bufferSize(handle, uplo, n, A, lda, lwork)`. /opt/pytorch/aten/src/ATen/native/cuda/linalg/CUDASolver.cpppotrf_buffersize<float>, when calling `cusolverDnDpotrf_bufferSize(handle, uplo, n, A, lda, lwork)`, when calling `cusolverDnDpotrf_bufferSize(handle, uplo, n, A, lda, lwork)`. potrf_buffersize<double>, when calling `cusolverDnDgetrf_bufferSize(handle, m, n, dA, ldda, &lwork)`, when calling `cusolverDnDgetrf_bufferSize(handle, m, n, dA, ldda, &lwork)`. getrf<double>, when calling `cusolverDnDgetrf( handle, m, n, dA, ldda, static_cast<double*>(dataPtr.get()), ipiv, info)`, when calling `cusolverDnDgetrf( handle, m, n, dA, ldda, static_cast<double*>(dataPtr.get()), ipiv, info)`. , when calling `cusolverDnZsytrf_bufferSize( handle, n, reinterpret_cast<cuDoubleComplex*>(A), lda, lwork)`, when calling `cusolverDnZsytrf_bufferSize( handle, n, reinterpret_cast<cuDoubleComplex*>(A), lda, lwork)`. sytrf_bufferSize<c10::complex<double> >, when calling `cusolverDnCpotrf_bufferSize( handle, uplo, n, reinterpret_cast<cuComplex*>(A), lda, lwork)`, when calling `cusolverDnCpotrf_bufferSize( handle, uplo, n, reinterpret_cast<cuComplex*>(A), lda, lwork)`. potrf_buffersize<c10::complex<float> >, when calling `cusolverDnSgetrf_bufferSize(handle, m, n, dA, ldda, &lwork)`, when calling `cusolverDnSgetrf_bufferSize(handle, m, n, dA, ldda, &lwork)`. getrf<float>, when calling `cusolverDnSgetrf( handle, m, n, dA, ldda, static_cast<float*>(dataPtr.get()), ipiv, info)`, when calling `cusolverDnSgetrf( handle, m, n, dA, ldda, static_cast<float*>(dataPtr.get()), ipiv, info)`. , when calling `cusolverDnSpotrsBatched(handle, uplo, n, nrhs, Aarray, lda, Barray, ldb, info, batchSize)`, when calling `cusolverDnSpotrsBatched(handle, uplo, n, nrhs, Aarray, lda, Barray, ldb, info, batchSize)`. potrsBatched<float>, when calling `cusolverDnDpotrsBatched(handle, uplo, n, nrhs, Aarray, lda, Barray, ldb, info, batchSize)`, when calling `cusolverDnDpotrsBatched(handle, uplo, n, nrhs, Aarray, lda, Barray, ldb, info, batchSize)`. potrsBatched<double>, when calling `cusolverDnSormqr(handle, side, trans, m, n, k, A, lda, tau, C, ldc, work, lwork, devInfo)`, when calling `cusolverDnSormqr(handle, side, trans, m, n, k, A, lda, tau, C, ldc, work, lwork, devInfo)`. ormqr<float>, when calling `cusolverDnDormqr(handle, side, trans, m, n, k, A, lda, tau, C, ldc, work, lwork, devInfo)`, when calling `cusolverDnDormqr(handle, side, trans, m, n, k, A, lda, tau, C, ldc, work, lwork, devInfo)`. ormqr<double>, when calling `cusolverDnSgesvdj_bufferSize(handle, jobz, econ, m, n, A, lda, S, U, ldu, V, ldv, lwork, params)`, when calling `cusolverDnSgesvdj_bufferSize(handle, jobz, econ, m, n, A, lda, S, U, ldu, V, ldv, lwork, params)`. gesvdj_buffersize<float, float>, when calling `cusolverDnDgesvdj_bufferSize(handle, jobz, econ, m, n, A, lda, S, U, ldu, V, ldv, lwork, params)`, when calling `cusolverDnDgesvdj_bufferSize(handle, jobz, econ, m, n, A, lda, S, U, ldu, V, ldv, lwork, params)`. gesvdj_buffersize<double, double>, when calling `cusolverDnZpotrf_bufferSize( handle, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, lwork)`, when calling `cusolverDnZpotrf_bufferSize( handle, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, lwork)`. potrf_buffersize<c10::complex<double> >, when calling `cusolverDnSsyevjBatched( handle, jobz, uplo, n, A, lda, W, work, lwork, info, params, batchsize)`, when calling `cusolverDnSsyevjBatched( handle, jobz, uplo, n, A, lda, W, work, lwork, info, params, batchsize)`. syevjBatched<float, float>, when calling `cusolverDnDsyevjBatched( handle, jobz, uplo, n, A, lda, W, work, lwork, info, params, batchsize)`, when calling `cusolverDnDsyevjBatched( handle, jobz, uplo, n, A, lda, W, work, lwork, info, params, batchsize)`. syevjBatched<double, double>, when calling `cusolverDnZgetrf_bufferSize( handle, m, n, reinterpret_cast<cuDoubleComplex*>(dA), ldda, &lwork)`, when calling `cusolverDnZgetrf_bufferSize( handle, m, n, reinterpret_cast<cuDoubleComplex*>(dA), ldda, &lwork)`. getrf<c10::complex<double> >, when calling `cusolverDnZgetrf( handle, m, n, reinterpret_cast<cuDoubleComplex*>(dA), ldda, static_cast<cuDoubleComplex*>(dataPtr.get()), ipiv, info)`, when calling `cusolverDnZgetrf( handle, m, n, reinterpret_cast<cuDoubleComplex*>(dA), ldda, static_cast<cuDoubleComplex*>(dataPtr.get()), ipiv, info)`. , when calling `cusolverDnCgetrf_bufferSize( handle, m, n, reinterpret_cast<cuComplex*>(dA), ldda, &lwork)`, when calling `cusolverDnCgetrf_bufferSize( handle, m, n, reinterpret_cast<cuComplex*>(dA), ldda, &lwork)`. getrf<c10::complex<float> >, when calling `cusolverDnCgetrf( handle, m, n, reinterpret_cast<cuComplex*>(dA), ldda, static_cast<cuComplex*>(dataPtr.get()), ipiv, info)`, when calling `cusolverDnCgetrf( handle, m, n, reinterpret_cast<cuComplex*>(dA), ldda, static_cast<cuComplex*>(dataPtr.get()), ipiv, info)`. , when calling `cusolverDnDgetrs( handle, trans, n, nrhs, dA, lda, ipiv, ret, ldb, info)`, when calling `cusolverDnDgetrs( handle, trans, n, nrhs, dA, lda, ipiv, ret, ldb, info)`. getrs<double>, when calling `cusolverDnSgetrs( handle, trans, n, nrhs, dA, lda, ipiv, ret, ldb, info)`, when calling `cusolverDnSgetrs( handle, trans, n, nrhs, dA, lda, ipiv, ret, ldb, info)`. getrs<float>, when calling `cusolverDnZgetrs( handle, trans, n, nrhs, reinterpret_cast<cuDoubleComplex*>(dA), lda, ipiv, reinterpret_cast<cuDoubleComplex*>(ret), ldb, info)`, when calling `cusolverDnZgetrs( handle, trans, n, nrhs, reinterpret_cast<cuDoubleComplex*>(dA), lda, ipiv, reinterpret_cast<cuDoubleComplex*>(ret), ldb, info)`. getrs<c10::complex<double> >, when calling `cusolverDnCgetrs( handle, trans, n, nrhs, reinterpret_cast<cuComplex*>(dA), lda, ipiv, reinterpret_cast<cuComplex*>(ret), ldb, info)`, when calling `cusolverDnCgetrs( handle, trans, n, nrhs, reinterpret_cast<cuComplex*>(dA), lda, ipiv, reinterpret_cast<cuComplex*>(ret), ldb, info)`. getrs<c10::complex<float> >, when calling `cusolverDnDsytrf_bufferSize(handle, n, A, lda, lwork)`, when calling `cusolverDnDsytrf_bufferSize(handle, n, A, lda, lwork)`. sytrf_bufferSize<double>, when calling `cusolverDnSsytrf_bufferSize(handle, n, A, lda, lwork)`, when calling `cusolverDnSsytrf_bufferSize(handle, n, A, lda, lwork)`. sytrf_bufferSize<float>, when calling `cusolverDnCsytrf_bufferSize( handle, n, reinterpret_cast<cuComplex*>(A), lda, lwork)`, when calling `cusolverDnCsytrf_bufferSize( handle, n, reinterpret_cast<cuComplex*>(A), lda, lwork)`. sytrf_bufferSize<c10::complex<float> >, when calling `cusolverDnDsytrf(handle, uplo, n, A, lda, ipiv, work, lwork, devInfo)`, when calling `cusolverDnDsytrf(handle, uplo, n, A, lda, ipiv, work, lwork, devInfo)`. sytrf<double>, when calling `cusolverDnSsytrf(handle, uplo, n, A, lda, ipiv, work, lwork, devInfo)`, when calling `cusolverDnSsytrf(handle, uplo, n, A, lda, ipiv, work, lwork, devInfo)`. sytrf<float>, when calling `cusolverDnSsyevd(handle, jobz, uplo, n, A, lda, W, work, lwork, info)`, when calling `cusolverDnSsyevd(handle, jobz, uplo, n, A, lda, W, work, lwork, info)`. syevd<float, float>, when calling `cusolverDnDsyevd(handle, jobz, uplo, n, A, lda, W, work, lwork, info)`, when calling `cusolverDnDsyevd(handle, jobz, uplo, n, A, lda, W, work, lwork, info)`. syevd<double, double>, when calling `cusolverDnZsytrf( handle, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, ipiv, reinterpret_cast<cuDoubleComplex*>(work), lwork, devInfo)`, when calling `cusolverDnZsytrf( handle, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, ipiv, reinterpret_cast<cuDoubleComplex*>(work), lwork, devInfo)`. sytrf<c10::complex<double> >, when calling `cusolverDnZheevd( handle, jobz, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, W, reinterpret_cast<cuDoubleComplex*>(work), lwork, info)`, when calling `cusolverDnZheevd( handle, jobz, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, W, reinterpret_cast<cuDoubleComplex*>(work), lwork, info)`. syevd<c10::complex<double>, double>, when calling `cusolverDnCsytrf( handle, uplo, n, reinterpret_cast<cuComplex*>(A), lda, ipiv, reinterpret_cast<cuComplex*>(work), lwork, devInfo)`, when calling `cusolverDnCsytrf( handle, uplo, n, reinterpret_cast<cuComplex*>(A), lda, ipiv, reinterpret_cast<cuComplex*>(work), lwork, devInfo)`. sytrf<c10::complex<float> >, when calling `cusolverDnCheevd( handle, jobz, uplo, n, reinterpret_cast<cuComplex*>(A), lda, W, reinterpret_cast<cuComplex*>(work), lwork, info)`, when calling `cusolverDnCheevd( handle, jobz, uplo, n, reinterpret_cast<cuComplex*>(A), lda, W, reinterpret_cast<cuComplex*>(work), lwork, info)`. syevd<c10::complex<float>, float>, when calling `cusolverDnSgesvd_bufferSize(handle, m, n, lwork)`, when calling `cusolverDnSgesvd_bufferSize(handle, m, n, lwork)`. gesvd_buffersize<float>, when calling `cusolverDnDgesvd_bufferSize(handle, m, n, lwork)`, when calling `cusolverDnDgesvd_bufferSize(handle, m, n, lwork)`. gesvd_buffersize<double>, when calling `cusolverDnCgesvd_bufferSize(handle, m, n, lwork)`, when calling `cusolverDnCgesvd_bufferSize(handle, m, n, lwork)`. gesvd_buffersize<c10::complex<float> >, when calling `cusolverDnZgesvd_bufferSize(handle, m, n, lwork)`, when calling `cusolverDnZgesvd_bufferSize(handle, m, n, lwork)`. gesvd_buffersize<c10::complex<double> >, when calling `cusolverDnSgesvd( handle, jobu, jobvt, m, n, A, lda, S, U, ldu, VT, ldvt, work, lwork, rwork, info)`, when calling `cusolverDnSgesvd( handle, jobu, jobvt, m, n, A, lda, S, U, ldu, VT, ldvt, work, lwork, rwork, info)`. gesvd<float, float>, when calling `cusolverDnDgesvd( handle, jobu, jobvt, m, n, A, lda, S, U, ldu, VT, ldvt, work, lwork, rwork, info)`, when calling `cusolverDnDgesvd( handle, jobu, jobvt, m, n, A, lda, S, U, ldu, VT, ldvt, work, lwork, rwork, info)`. gesvd<double, double>, when calling `cusolverDnCgesvd( handle, jobu, jobvt, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(VT), ldvt, reinterpret_cast<cuComplex*>(work), lwork, rwork, info )`, when calling `cusolverDnCgesvd( handle, jobu, jobvt, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(VT), ldvt, reinterpret_cast<cuComplex*>(work), lwork, rwork, info )`. gesvd<c10::complex<float>, float>, when calling `cusolverDnZgesvd( handle, jobu, jobvt, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(VT), ldvt, reinterpret_cast<cuDoubleComplex*>(work), lwork, rwork, info )`, when calling `cusolverDnZgesvd( handle, jobu, jobvt, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(VT), ldvt, reinterpret_cast<cuDoubleComplex*>(work), lwork, rwork, info )`. gesvd<c10::complex<double>, double>, when calling `cusolverDnCgesvdj_bufferSize(handle, jobz, econ, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(V), ldv, lwork, params)`, when calling `cusolverDnCgesvdj_bufferSize(handle, jobz, econ, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(V), ldv, lwork, params)`. gesvdj_buffersize<c10::complex<float>, float>, when calling `cusolverDnZgesvdj_bufferSize(handle, jobz, econ, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(V), ldv, lwork, params)`, when calling `cusolverDnZgesvdj_bufferSize(handle, jobz, econ, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(V), ldv, lwork, params)`. gesvdj_buffersize<c10::complex<double>, double>, when calling `cusolverDnSgesvdj(handle, jobz, econ, m, n, A, lda, S, U, ldu, V, ldv, work, lwork, info, params)`, when calling `cusolverDnSgesvdj(handle, jobz, econ, m, n, A, lda, S, U, ldu, V, ldv, work, lwork, info, params)`. gesvdj<float, float>, when calling `cusolverDnDgesvdj(handle, jobz, econ, m, n, A, lda, S, U, ldu, V, ldv, work, lwork, info, params)`, when calling `cusolverDnDgesvdj(handle, jobz, econ, m, n, A, lda, S, U, ldu, V, ldv, work, lwork, info, params)`. gesvdj<double, double>, when calling `cusolverDnCpotrfBatched( handle, uplo, n, reinterpret_cast<cuComplex**>(A), lda, info, batchSize)`, when calling `cusolverDnCpotrfBatched( handle, uplo, n, reinterpret_cast<cuComplex**>(A), lda, info, batchSize)`. potrfBatched<c10::complex<float> >, when calling `cusolverDnCgesvdj( handle, jobz, econ, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(V), ldv, reinterpret_cast<cuComplex*>(work), lwork, info, params)`, when calling `cusolverDnCgesvdj( handle, jobz, econ, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(V), ldv, reinterpret_cast<cuComplex*>(work), lwork, info, params)`. gesvdj<c10::complex<float>, float>, when calling `cusolverDnXsyevd_bufferSize( handle, params, jobz, uplo, n, CUDA_R_32F, reinterpret_cast<const void*>(A), lda, CUDA_R_32F, reinterpret_cast<const void*>(W), CUDA_R_32F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`, when calling `cusolverDnXsyevd_bufferSize( handle, params, jobz, uplo, n, CUDA_R_32F, reinterpret_cast<const void*>(A), lda, CUDA_R_32F, reinterpret_cast<const void*>(W), CUDA_R_32F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`. xsyevd_bufferSize<float, float>, when calling `cusolverDnXsyevd_bufferSize( handle, params, jobz, uplo, n, CUDA_R_64F, reinterpret_cast<const void*>(A), lda, CUDA_R_64F, reinterpret_cast<const void*>(W), CUDA_R_64F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`, when calling `cusolverDnXsyevd_bufferSize( handle, params, jobz, uplo, n, CUDA_R_64F, reinterpret_cast<const void*>(A), lda, CUDA_R_64F, reinterpret_cast<const void*>(W), CUDA_R_64F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`. xsyevd_bufferSize<double, double>, when calling `cusolverDnXsyevd_bufferSize( handle, params, jobz, uplo, n, CUDA_C_32F, reinterpret_cast<const void*>(A), lda, CUDA_R_32F, reinterpret_cast<const void*>(W), CUDA_C_32F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`, when calling `cusolverDnXsyevd_bufferSize( handle, params, jobz, uplo, n, CUDA_C_32F, reinterpret_cast<const void*>(A), lda, CUDA_R_32F, reinterpret_cast<const void*>(W), CUDA_C_32F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`. xsyevd_bufferSize<c10::complex<float>, float>, when calling `cusolverDnXsyevd_bufferSize( handle, params, jobz, uplo, n, CUDA_C_64F, reinterpret_cast<const void*>(A), lda, CUDA_R_64F, reinterpret_cast<const void*>(W), CUDA_C_64F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`, when calling `cusolverDnXsyevd_bufferSize( handle, params, jobz, uplo, n, CUDA_C_64F, reinterpret_cast<const void*>(A), lda, CUDA_R_64F, reinterpret_cast<const void*>(W), CUDA_C_64F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`. xsyevd_bufferSize<c10::complex<double>, double>, when calling `cusolverDnZgesvdj( handle, jobz, econ, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(V), ldv, reinterpret_cast<cuDoubleComplex*>(work), lwork, info, params)`, when calling `cusolverDnZgesvdj( handle, jobz, econ, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(V), ldv, reinterpret_cast<cuDoubleComplex*>(work), lwork, info, params)`. gesvdj<c10::complex<double>, double>, when calling `cusolverDnSgesvdjBatched_bufferSize(handle, jobz, m, n, A, lda, S, U, ldu, V, ldv, &lwork, params, batchSize)`, when calling `cusolverDnSgesvdjBatched_bufferSize(handle, jobz, m, n, A, lda, S, U, ldu, V, ldv, &lwork, params, batchSize)`. gesvdjBatched<float, float>, when calling `cusolverDnSgesvdjBatched( handle, jobz, m, n, A, lda, S, U, ldu, V, ldv, static_cast<float*>(dataPtr.get()), lwork, info, params, batchSize)`, when calling `cusolverDnSgesvdjBatched( handle, jobz, m, n, A, lda, S, U, ldu, V, ldv, static_cast<float*>(dataPtr.get()), lwork, info, params, batchSize)`. , when calling `cusolverDnDgesvdjBatched_bufferSize(handle, jobz, m, n, A, lda, S, U, ldu, V, ldv, &lwork, params, batchSize)`, when calling `cusolverDnDgesvdjBatched_bufferSize(handle, jobz, m, n, A, lda, S, U, ldu, V, ldv, &lwork, params, batchSize)`. gesvdjBatched<double, double>, when calling `cusolverDnDgesvdjBatched( handle, jobz, m, n, A, lda, S, U, ldu, V, ldv, static_cast<double*>(dataPtr.get()), lwork, info, params, batchSize)`, when calling `cusolverDnDgesvdjBatched( handle, jobz, m, n, A, lda, S, U, ldu, V, ldv, static_cast<double*>(dataPtr.get()), lwork, info, params, batchSize)`. , when calling `cusolverDnCgesvdjBatched_bufferSize( handle, jobz, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(V), ldv, &lwork, params, batchSize)`, when calling `cusolverDnCgesvdjBatched_bufferSize( handle, jobz, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(V), ldv, &lwork, params, batchSize)`. gesvdjBatched<c10::complex<float>, float>, when calling `cusolverDnCgesvdjBatched( handle, jobz, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(V), ldv, static_cast<cuComplex*>(dataPtr.get()), lwork, info, params, batchSize)`, when calling `cusolverDnCgesvdjBatched( handle, jobz, m, n, reinterpret_cast<cuComplex*>(A), lda, S, reinterpret_cast<cuComplex*>(U), ldu, reinterpret_cast<cuComplex*>(V), ldv, static_cast<cuComplex*>(dataPtr.get()), lwork, info, params, batchSize)`. , when calling `cusolverDnZgesvdjBatched_bufferSize( handle, jobz, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(V), ldv, &lwork, params, batchSize)`, when calling `cusolverDnZgesvdjBatched_bufferSize( handle, jobz, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(V), ldv, &lwork, params, batchSize)`. gesvdjBatched<c10::complex<double>, double>, when calling `cusolverDnZgesvdjBatched( handle, jobz, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(V), ldv, static_cast<cuDoubleComplex*>(dataPtr.get()), lwork, info, params, batchSize)`, when calling `cusolverDnZgesvdjBatched( handle, jobz, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, S, reinterpret_cast<cuDoubleComplex*>(U), ldu, reinterpret_cast<cuDoubleComplex*>(V), ldv, static_cast<cuDoubleComplex*>(dataPtr.get()), lwork, info, params, batchSize)`. , when calling `cusolverDnSgesvdaStridedBatched_bufferSize( handle, jobz, rank, m, n, A, lda, strideA, S, strideS, U, ldu, strideU, V, ldv, strideV, lwork, batchSize )`, when calling `cusolverDnSgesvdaStridedBatched_bufferSize( handle, jobz, rank, m, n, A, lda, strideA, S, strideS, U, ldu, strideU, V, ldv, strideV, lwork, batchSize )`. gesvdaStridedBatched_buffersize<float, float>, when calling `cusolverDnDgesvdaStridedBatched_bufferSize( handle, jobz, rank, m, n, A, lda, strideA, S, strideS, U, ldu, strideU, V, ldv, strideV, lwork, batchSize )`, when calling `cusolverDnDgesvdaStridedBatched_bufferSize( handle, jobz, rank, m, n, A, lda, strideA, S, strideS, U, ldu, strideU, V, ldv, strideV, lwork, batchSize )`. gesvdaStridedBatched_buffersize<double, double>, when calling `cusolverDnCgesvdaStridedBatched_bufferSize( handle, jobz, rank, m, n, reinterpret_cast<cuComplex*>(A), lda, strideA, S, strideS, reinterpret_cast<cuComplex*>(U), ldu, strideU, reinterpret_cast<cuComplex*>(V), ldv, strideV, lwork, batchSize )`, when calling `cusolverDnCgesvdaStridedBatched_bufferSize( handle, jobz, rank, m, n, reinterpret_cast<cuComplex*>(A), lda, strideA, S, strideS, reinterpret_cast<cuComplex*>(U), ldu, strideU, reinterpret_cast<cuComplex*>(V), ldv, strideV, lwork, batchSize )`. gesvdaStridedBatched_buffersize<c10::complex<float>, float>, when calling `cusolverDnZgesvdaStridedBatched_bufferSize( handle, jobz, rank, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, strideA, S, strideS, reinterpret_cast<cuDoubleComplex*>(U), ldu, strideU, reinterpret_cast<cuDoubleComplex*>(V), ldv, strideV, lwork, batchSize )`, when calling `cusolverDnZgesvdaStridedBatched_bufferSize( handle, jobz, rank, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, strideA, S, strideS, reinterpret_cast<cuDoubleComplex*>(U), ldu, strideU, reinterpret_cast<cuDoubleComplex*>(V), ldv, strideV, lwork, batchSize )`. gesvdaStridedBatched_buffersize<c10::complex<double>, double>, when calling `cusolverDnSgesvdaStridedBatched( handle, jobz, rank, m, n, A, lda, strideA, S, strideS, U, ldu, strideU, V, ldv, strideV, work, lwork, info, h_R_nrmF, batchSize )`, when calling `cusolverDnSgesvdaStridedBatched( handle, jobz, rank, m, n, A, lda, strideA, S, strideS, U, ldu, strideU, V, ldv, strideV, work, lwork, info, h_R_nrmF, batchSize )`. gesvdaStridedBatched<float, float>, when calling `cusolverDnDgesvdaStridedBatched( handle, jobz, rank, m, n, A, lda, strideA, S, strideS, U, ldu, strideU, V, ldv, strideV, work, lwork, info, h_R_nrmF, batchSize )`, when calling `cusolverDnDgesvdaStridedBatched( handle, jobz, rank, m, n, A, lda, strideA, S, strideS, U, ldu, strideU, V, ldv, strideV, work, lwork, info, h_R_nrmF, batchSize )`. gesvdaStridedBatched<double, double>, when calling `cusolverDnCgesvdaStridedBatched( handle, jobz, rank, m, n, reinterpret_cast<cuComplex*>(A), lda, strideA, S, strideS, reinterpret_cast<cuComplex*>(U), ldu, strideU, reinterpret_cast<cuComplex*>(V), ldv, strideV, reinterpret_cast<cuComplex*>(work), lwork, info, h_R_nrmF, batchSize )`, when calling `cusolverDnCgesvdaStridedBatched( handle, jobz, rank, m, n, reinterpret_cast<cuComplex*>(A), lda, strideA, S, strideS, reinterpret_cast<cuComplex*>(U), ldu, strideU, reinterpret_cast<cuComplex*>(V), ldv, strideV, reinterpret_cast<cuComplex*>(work), lwork, info, h_R_nrmF, batchSize )`. gesvdaStridedBatched<c10::complex<float>, float>, when calling `cusolverDnZgesvdaStridedBatched( handle, jobz, rank, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, strideA, S, strideS, reinterpret_cast<cuDoubleComplex*>(U), ldu, strideU, reinterpret_cast<cuDoubleComplex*>(V), ldv, strideV, reinterpret_cast<cuDoubleComplex*>(work), lwork, info, h_R_nrmF, batchSize )`, when calling `cusolverDnZgesvdaStridedBatched( handle, jobz, rank, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, strideA, S, strideS, reinterpret_cast<cuDoubleComplex*>(U), ldu, strideU, reinterpret_cast<cuDoubleComplex*>(V), ldv, strideV, reinterpret_cast<cuDoubleComplex*>(work), lwork, info, h_R_nrmF, batchSize )`. gesvdaStridedBatched<c10::complex<double>, double>, when calling `cusolverDnSpotrf( handle, uplo, n, A, lda, work, lwork, info)`, when calling `cusolverDnSpotrf( handle, uplo, n, A, lda, work, lwork, info)`. potrf<float>, when calling `cusolverDnDpotrf( handle, uplo, n, A, lda, work, lwork, info)`, when calling `cusolverDnDpotrf( handle, uplo, n, A, lda, work, lwork, info)`. potrf<double>, when calling `cusolverDnCpotrf( handle, uplo, n, reinterpret_cast<cuComplex*>(A), lda, reinterpret_cast<cuComplex*>(work), lwork, info)`, when calling `cusolverDnCpotrf( handle, uplo, n, reinterpret_cast<cuComplex*>(A), lda, reinterpret_cast<cuComplex*>(work), lwork, info)`. potrf<c10::complex<float> >, when calling `cusolverDnZpotrf( handle, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, reinterpret_cast<cuDoubleComplex*>(work), lwork, info)`, when calling `cusolverDnZpotrf( handle, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, reinterpret_cast<cuDoubleComplex*>(work), lwork, info)`. potrf<c10::complex<double> >, when calling `cusolverDnSpotrfBatched(handle, uplo, n, A, lda, info, batchSize)`, when calling `cusolverDnSpotrfBatched(handle, uplo, n, A, lda, info, batchSize)`. potrfBatched<float>, when calling `cusolverDnDpotrfBatched(handle, uplo, n, A, lda, info, batchSize)`, when calling `cusolverDnDpotrfBatched(handle, uplo, n, A, lda, info, batchSize)`. potrfBatched<double>, when calling `cusolverDnSgeqrf(handle, m, n, A, lda, tau, work, lwork, devInfo)`, when calling `cusolverDnSgeqrf(handle, m, n, A, lda, tau, work, lwork, devInfo)`. geqrf<float>, when calling `cusolverDnDgeqrf(handle, m, n, A, lda, tau, work, lwork, devInfo)`, when calling `cusolverDnDgeqrf(handle, m, n, A, lda, tau, work, lwork, devInfo)`. geqrf<double>, when calling `cusolverDnZpotrfBatched( handle, uplo, n, reinterpret_cast<cuDoubleComplex**>(A), lda, info, batchSize)`, when calling `cusolverDnZpotrfBatched( handle, uplo, n, reinterpret_cast<cuDoubleComplex**>(A), lda, info, batchSize)`. potrfBatched<c10::complex<double> >, when calling `cusolverDnSgeqrf_bufferSize(handle, m, n, A, lda, lwork)`, when calling `cusolverDnSgeqrf_bufferSize(handle, m, n, A, lda, lwork)`. geqrf_bufferSize<float>, when calling `cusolverDnDgeqrf_bufferSize(handle, m, n, A, lda, lwork)`, when calling `cusolverDnDgeqrf_bufferSize(handle, m, n, A, lda, lwork)`. geqrf_bufferSize<double>, when calling `cusolverDnCgeqrf_bufferSize( handle, m, n, reinterpret_cast<cuComplex*>(A), lda, lwork)`, when calling `cusolverDnCgeqrf_bufferSize( handle, m, n, reinterpret_cast<cuComplex*>(A), lda, lwork)`. geqrf_bufferSize<c10::complex<float> >, when calling `cusolverDnZgeqrf_bufferSize( handle, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, lwork)`, when calling `cusolverDnZgeqrf_bufferSize( handle, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, lwork)`. geqrf_bufferSize<c10::complex<double> >, when calling `cusolverDnCgeqrf( handle, m, n, reinterpret_cast<cuComplex*>(A), lda, reinterpret_cast<cuComplex*>(tau), reinterpret_cast<cuComplex*>(work), lwork, devInfo)`, when calling `cusolverDnCgeqrf( handle, m, n, reinterpret_cast<cuComplex*>(A), lda, reinterpret_cast<cuComplex*>(tau), reinterpret_cast<cuComplex*>(work), lwork, devInfo)`. geqrf<c10::complex<float> >, when calling `cusolverDnCheevjBatched( handle, jobz, uplo, n, reinterpret_cast<cuComplex*>(A), lda, W, reinterpret_cast<cuComplex*>(work), lwork, info, params, batchsize)`, when calling `cusolverDnCheevjBatched( handle, jobz, uplo, n, reinterpret_cast<cuComplex*>(A), lda, W, reinterpret_cast<cuComplex*>(work), lwork, info, params, batchsize)`. syevjBatched<c10::complex<float>, float>, when calling `cusolverDnZgeqrf( handle, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, reinterpret_cast<cuDoubleComplex*>(tau), reinterpret_cast<cuDoubleComplex*>(work), lwork, devInfo)`, when calling `cusolverDnZgeqrf( handle, m, n, reinterpret_cast<cuDoubleComplex*>(A), lda, reinterpret_cast<cuDoubleComplex*>(tau), reinterpret_cast<cuDoubleComplex*>(work), lwork, devInfo)`. geqrf<c10::complex<double> >, when calling `cusolverDnSpotrs(handle, uplo, n, nrhs, A, lda, B, ldb, devInfo)`, when calling `cusolverDnSpotrs(handle, uplo, n, nrhs, A, lda, B, ldb, devInfo)`. potrs<float>, when calling `cusolverDnDpotrs(handle, uplo, n, nrhs, A, lda, B, ldb, devInfo)`, when calling `cusolverDnDpotrs(handle, uplo, n, nrhs, A, lda, B, ldb, devInfo)`. potrs<double>, when calling `cusolverDnSorgqr_bufferSize(handle, m, n, k, A, lda, tau, lwork)`, when calling `cusolverDnSorgqr_bufferSize(handle, m, n, k, A, lda, tau, lwork)`. orgqr_buffersize<float>, when calling `cusolverDnDorgqr_bufferSize(handle, m, n, k, A, lda, tau, lwork)`, when calling `cusolverDnDorgqr_bufferSize(handle, m, n, k, A, lda, tau, lwork)`. orgqr_buffersize<double>, when calling `cusolverDnCpotrs( handle, uplo, n, nrhs, reinterpret_cast<const cuComplex*>(A), lda, reinterpret_cast<cuComplex*>(B), ldb, devInfo)`, when calling `cusolverDnCpotrs( handle, uplo, n, nrhs, reinterpret_cast<const cuComplex*>(A), lda, reinterpret_cast<cuComplex*>(B), ldb, devInfo)`. potrs<c10::complex<float> >, when calling `cusolverDnCheevjBatched_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuComplex*>(A), lda, W, lwork, params, batchsize)`, when calling `cusolverDnCheevjBatched_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuComplex*>(A), lda, W, lwork, params, batchsize)`. syevjBatched_bufferSize<c10::complex<float>, float>, when calling `cusolverDnZpotrs( handle, uplo, n, nrhs, reinterpret_cast<const cuDoubleComplex*>(A), lda, reinterpret_cast<cuDoubleComplex*>(B), ldb, devInfo)`, when calling `cusolverDnZpotrs( handle, uplo, n, nrhs, reinterpret_cast<const cuDoubleComplex*>(A), lda, reinterpret_cast<cuDoubleComplex*>(B), ldb, devInfo)`. potrs<c10::complex<double> >, when calling `cusolverDnCpotrsBatched( handle, uplo, n, nrhs, reinterpret_cast<cuComplex**>(Aarray), lda, reinterpret_cast<cuComplex**>(Barray), ldb, info, batchSize)`, when calling `cusolverDnCpotrsBatched( handle, uplo, n, nrhs, reinterpret_cast<cuComplex**>(Aarray), lda, reinterpret_cast<cuComplex**>(Barray), ldb, info, batchSize)`. potrsBatched<c10::complex<float> >, when calling `cusolverDnZpotrsBatched( handle, uplo, n, nrhs, reinterpret_cast<cuDoubleComplex**>(Aarray), lda, reinterpret_cast<cuDoubleComplex**>(Barray), ldb, info, batchSize)`, when calling `cusolverDnZpotrsBatched( handle, uplo, n, nrhs, reinterpret_cast<cuDoubleComplex**>(Aarray), lda, reinterpret_cast<cuDoubleComplex**>(Barray), ldb, info, batchSize)`. potrsBatched<c10::complex<double> >, when calling `cusolverDnCungqr_bufferSize( handle, m, n, k, reinterpret_cast<const cuComplex*>(A), lda, reinterpret_cast<const cuComplex*>(tau), lwork)`, when calling `cusolverDnCungqr_bufferSize( handle, m, n, k, reinterpret_cast<const cuComplex*>(A), lda, reinterpret_cast<const cuComplex*>(tau), lwork)`. orgqr_buffersize<c10::complex<float> >, when calling `cusolverDnZheevjBatched_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuDoubleComplex*>(A), lda, W, lwork, params, batchsize)`, when calling `cusolverDnZheevjBatched_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuDoubleComplex*>(A), lda, W, lwork, params, batchsize)`. syevjBatched_bufferSize<c10::complex<double>, double>, when calling `cusolverDnZungqr_bufferSize( handle, m, n, k, reinterpret_cast<const cuDoubleComplex*>(A), lda, reinterpret_cast<const cuDoubleComplex*>(tau), lwork)`, when calling `cusolverDnZungqr_bufferSize( handle, m, n, k, reinterpret_cast<const cuDoubleComplex*>(A), lda, reinterpret_cast<const cuDoubleComplex*>(tau), lwork)`. orgqr_buffersize<c10::complex<double> >, when calling `cusolverDnSorgqr(handle, m, n, k, A, lda, tau, work, lwork, devInfo)`, when calling `cusolverDnSorgqr(handle, m, n, k, A, lda, tau, work, lwork, devInfo)`. orgqr<float>, when calling `cusolverDnDorgqr(handle, m, n, k, A, lda, tau, work, lwork, devInfo)`, when calling `cusolverDnDorgqr(handle, m, n, k, A, lda, tau, work, lwork, devInfo)`. orgqr<double>, when calling `cusolverDnSsyevd_bufferSize(handle, jobz, uplo, n, A, lda, W, lwork)`, when calling `cusolverDnSsyevd_bufferSize(handle, jobz, uplo, n, A, lda, W, lwork)`. syevd_bufferSize<float, float>, when calling `cusolverDnDsyevd_bufferSize(handle, jobz, uplo, n, A, lda, W, lwork)`, when calling `cusolverDnDsyevd_bufferSize(handle, jobz, uplo, n, A, lda, W, lwork)`. syevd_bufferSize<double, double>, when calling `cusolverDnCungqr( handle, m, n, k, reinterpret_cast<cuComplex*>(A), lda, reinterpret_cast<const cuComplex*>(tau), reinterpret_cast<cuComplex*>(work), lwork, devInfo)`, when calling `cusolverDnCungqr( handle, m, n, k, reinterpret_cast<cuComplex*>(A), lda, reinterpret_cast<const cuComplex*>(tau), reinterpret_cast<cuComplex*>(work), lwork, devInfo)`. orgqr<c10::complex<float> >, when calling `cusolverDnZungqr( handle, m, n, k, reinterpret_cast<cuDoubleComplex*>(A), lda, reinterpret_cast<const cuDoubleComplex*>(tau), reinterpret_cast<cuDoubleComplex*>(work), lwork, devInfo)`, when calling `cusolverDnZungqr( handle, m, n, k, reinterpret_cast<cuDoubleComplex*>(A), lda, reinterpret_cast<const cuDoubleComplex*>(tau), reinterpret_cast<cuDoubleComplex*>(work), lwork, devInfo)`. orgqr<c10::complex<double> >, when calling `cusolverDnSormqr_bufferSize(handle, side, trans, m, n, k, A, lda, tau, C, ldc, lwork)`, when calling `cusolverDnSormqr_bufferSize(handle, side, trans, m, n, k, A, lda, tau, C, ldc, lwork)`. ormqr_bufferSize<float>, when calling `cusolverDnDormqr_bufferSize(handle, side, trans, m, n, k, A, lda, tau, C, ldc, lwork)`, when calling `cusolverDnDormqr_bufferSize(handle, side, trans, m, n, k, A, lda, tau, C, ldc, lwork)`. ormqr_bufferSize<double>, when calling `cusolverDnCunmqr_bufferSize( handle, side, trans, m, n, k, reinterpret_cast<const cuComplex*>(A), lda, reinterpret_cast<const cuComplex*>(tau), reinterpret_cast<const cuComplex*>(C), ldc, lwork)`, when calling `cusolverDnCunmqr_bufferSize( handle, side, trans, m, n, k, reinterpret_cast<const cuComplex*>(A), lda, reinterpret_cast<const cuComplex*>(tau), reinterpret_cast<const cuComplex*>(C), ldc, lwork)`. ormqr_bufferSize<c10::complex<float> >, when calling `cusolverDnZunmqr_bufferSize( handle, side, trans, m, n, k, reinterpret_cast<const cuDoubleComplex*>(A), lda, reinterpret_cast<const cuDoubleComplex*>(tau), reinterpret_cast<const cuDoubleComplex*>(C), ldc, lwork)`, when calling `cusolverDnZunmqr_bufferSize( handle, side, trans, m, n, k, reinterpret_cast<const cuDoubleComplex*>(A), lda, reinterpret_cast<const cuDoubleComplex*>(tau), reinterpret_cast<const cuDoubleComplex*>(C), ldc, lwork)`. ormqr_bufferSize<c10::complex<double> >, when calling `cusolverDnCunmqr( handle, side, trans, m, n, k, reinterpret_cast<const cuComplex*>(A), lda, reinterpret_cast<const cuComplex*>(tau), reinterpret_cast<cuComplex*>(C), ldc, reinterpret_cast<cuComplex*>(work), lwork, devInfo)`, when calling `cusolverDnCunmqr( handle, side, trans, m, n, k, reinterpret_cast<const cuComplex*>(A), lda, reinterpret_cast<const cuComplex*>(tau), reinterpret_cast<cuComplex*>(C), ldc, reinterpret_cast<cuComplex*>(work), lwork, devInfo)`. ormqr<c10::complex<float> >, when calling `cusolverDnZunmqr( handle, side, trans, m, n, k, reinterpret_cast<const cuDoubleComplex*>(A), lda, reinterpret_cast<const cuDoubleComplex*>(tau), reinterpret_cast<cuDoubleComplex*>(C), ldc, reinterpret_cast<cuDoubleComplex*>(work), lwork, devInfo)`, when calling `cusolverDnZunmqr( handle, side, trans, m, n, k, reinterpret_cast<const cuDoubleComplex*>(A), lda, reinterpret_cast<const cuDoubleComplex*>(tau), reinterpret_cast<cuDoubleComplex*>(C), ldc, reinterpret_cast<cuDoubleComplex*>(work), lwork, devInfo)`. ormqr<c10::complex<double> >, when calling `cusolverDnXpotrf_bufferSize( handle, params, uplo, n, dataTypeA, A, lda, computeType, workspaceInBytesOnDevice, workspaceInBytesOnHost )`, when calling `cusolverDnXpotrf_bufferSize( handle, params, uplo, n, dataTypeA, A, lda, computeType, workspaceInBytesOnDevice, workspaceInBytesOnHost )`. xpotrf_buffersize, when calling `cusolverDnXpotrf( handle, params, uplo, n, dataTypeA, A, lda, computeType, bufferOnDevice, workspaceInBytesOnDevice, bufferOnHost, workspaceInBytesOnHost, info )`, when calling `cusolverDnXpotrf( handle, params, uplo, n, dataTypeA, A, lda, computeType, bufferOnDevice, workspaceInBytesOnDevice, bufferOnHost, workspaceInBytesOnHost, info )`. xpotrf, when calling `cusolverDnCheevd_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuComplex*>(A), lda, W, lwork)`, when calling `cusolverDnCheevd_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuComplex*>(A), lda, W, lwork)`. syevd_bufferSize<c10::complex<float>, float>, when calling `cusolverDnZheevd_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuDoubleComplex*>(A), lda, W, lwork)`, when calling `cusolverDnZheevd_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuDoubleComplex*>(A), lda, W, lwork)`. syevd_bufferSize<c10::complex<double>, double>, when calling `cusolverDnSsyevj_bufferSize( handle, jobz, uplo, n, A, lda, W, lwork, params)`, when calling `cusolverDnSsyevj_bufferSize( handle, jobz, uplo, n, A, lda, W, lwork, params)`. syevj_bufferSize<float, float>, when calling `cusolverDnDsyevj_bufferSize( handle, jobz, uplo, n, A, lda, W, lwork, params)`, when calling `cusolverDnDsyevj_bufferSize( handle, jobz, uplo, n, A, lda, W, lwork, params)`. syevj_bufferSize<double, double>, when calling `cusolverDnCheevj_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuComplex*>(A), lda, W, lwork, params)`, when calling `cusolverDnCheevj_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuComplex*>(A), lda, W, lwork, params)`. syevj_bufferSize<c10::complex<float>, float>, when calling `cusolverDnZheevj_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuDoubleComplex*>(A), lda, W, lwork, params)`, when calling `cusolverDnZheevj_bufferSize( handle, jobz, uplo, n, reinterpret_cast<const cuDoubleComplex*>(A), lda, W, lwork, params)`. syevj_bufferSize<c10::complex<double>, double>, when calling `cusolverDnSsyevj( handle, jobz, uplo, n, A, lda, W, work, lwork, info, params)`, when calling `cusolverDnSsyevj( handle, jobz, uplo, n, A, lda, W, work, lwork, info, params)`. syevj<float, float>, when calling `cusolverDnDsyevj( handle, jobz, uplo, n, A, lda, W, work, lwork, info, params)`, when calling `cusolverDnDsyevj( handle, jobz, uplo, n, A, lda, W, work, lwork, info, params)`. syevj<double, double>, when calling `cusolverDnCheevj( handle, jobz, uplo, n, reinterpret_cast<cuComplex*>(A), lda, W, reinterpret_cast<cuComplex*>(work), lwork, info, params)`, when calling `cusolverDnCheevj( handle, jobz, uplo, n, reinterpret_cast<cuComplex*>(A), lda, W, reinterpret_cast<cuComplex*>(work), lwork, info, params)`. syevj<c10::complex<float>, float>, when calling `cusolverDnZheevj( handle, jobz, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, W, reinterpret_cast<cuDoubleComplex*>(work), lwork, info, params)`, when calling `cusolverDnZheevj( handle, jobz, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, W, reinterpret_cast<cuDoubleComplex*>(work), lwork, info, params)`. syevj<c10::complex<double>, double>, when calling `cusolverDnSsyevjBatched_bufferSize( handle, jobz, uplo, n, A, lda, W, lwork, params, batchsize)`, when calling `cusolverDnSsyevjBatched_bufferSize( handle, jobz, uplo, n, A, lda, W, lwork, params, batchsize)`. syevjBatched_bufferSize<float, float>, when calling `cusolverDnDsyevjBatched_bufferSize( handle, jobz, uplo, n, A, lda, W, lwork, params, batchsize)`, when calling `cusolverDnDsyevjBatched_bufferSize( handle, jobz, uplo, n, A, lda, W, lwork, params, batchsize)`. syevjBatched_bufferSize<double, double>, when calling `cusolverDnZheevjBatched( handle, jobz, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, W, reinterpret_cast<cuDoubleComplex*>(work), lwork, info, params, batchsize)`, when calling `cusolverDnZheevjBatched( handle, jobz, uplo, n, reinterpret_cast<cuDoubleComplex*>(A), lda, W, reinterpret_cast<cuDoubleComplex*>(work), lwork, info, params, batchsize)`. syevjBatched<c10::complex<double>, double>, when calling `cusolverDnXpotrs(handle, params, uplo, n, nrhs, dataTypeA, A, lda, dataTypeB, B, ldb, info)`, when calling `cusolverDnXpotrs(handle, params, uplo, n, nrhs, dataTypeA, A, lda, dataTypeB, B, ldb, info)`. xpotrs, when calling `cusolverDnXgeqrf_bufferSize( handle, params, m, n, CUDA_R_32F, reinterpret_cast<const void*>(A), lda, CUDA_R_32F, reinterpret_cast<const void*>(tau), CUDA_R_32F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`, when calling `cusolverDnXgeqrf_bufferSize( handle, params, m, n, CUDA_R_32F, reinterpret_cast<const void*>(A), lda, CUDA_R_32F, reinterpret_cast<const void*>(tau), CUDA_R_32F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`. xgeqrf_bufferSize<float>, when calling `cusolverDnXgeqrf_bufferSize( handle, params, m, n, CUDA_R_64F, reinterpret_cast<const void*>(A), lda, CUDA_R_64F, reinterpret_cast<const void*>(tau), CUDA_R_64F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`, when calling `cusolverDnXgeqrf_bufferSize( handle, params, m, n, CUDA_R_64F, reinterpret_cast<const void*>(A), lda, CUDA_R_64F, reinterpret_cast<const void*>(tau), CUDA_R_64F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`. xgeqrf_bufferSize<double>, when calling `cusolverDnXgeqrf_bufferSize( handle, params, m, n, CUDA_C_32F, reinterpret_cast<const void*>(A), lda, CUDA_C_32F, reinterpret_cast<const void*>(tau), CUDA_C_32F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`, when calling `cusolverDnXgeqrf_bufferSize( handle, params, m, n, CUDA_C_32F, reinterpret_cast<const void*>(A), lda, CUDA_C_32F, reinterpret_cast<const void*>(tau), CUDA_C_32F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`. xgeqrf_bufferSize<c10::complex<float> >, when calling `cusolverDnXgeqrf_bufferSize( handle, params, m, n, CUDA_C_64F, reinterpret_cast<const void*>(A), lda, CUDA_C_64F, reinterpret_cast<const void*>(tau), CUDA_C_64F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`, when calling `cusolverDnXgeqrf_bufferSize( handle, params, m, n, CUDA_C_64F, reinterpret_cast<const void*>(A), lda, CUDA_C_64F, reinterpret_cast<const void*>(tau), CUDA_C_64F, workspaceInBytesOnDevice, workspaceInBytesOnHost)`. xgeqrf_bufferSize<c10::complex<double> >, when calling `cusolverDnXgeqrf( handle, params, m, n, CUDA_R_32F, reinterpret_cast<void*>(A), lda, CUDA_R_32F, reinterpret_cast<void*>(tau), CUDA_R_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`, when calling `cusolverDnXgeqrf( handle, params, m, n, CUDA_R_32F, reinterpret_cast<void*>(A), lda, CUDA_R_32F, reinterpret_cast<void*>(tau), CUDA_R_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`. xgeqrf<float>, when calling `cusolverDnXgeqrf( handle, params, m, n, CUDA_R_64F, reinterpret_cast<void*>(A), lda, CUDA_R_64F, reinterpret_cast<void*>(tau), CUDA_R_64F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`, when calling `cusolverDnXgeqrf( handle, params, m, n, CUDA_R_64F, reinterpret_cast<void*>(A), lda, CUDA_R_64F, reinterpret_cast<void*>(tau), CUDA_R_64F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`. xgeqrf<double>, when calling `cusolverDnXgeqrf( handle, params, m, n, CUDA_C_32F, reinterpret_cast<void*>(A), lda, CUDA_C_32F, reinterpret_cast<void*>(tau), CUDA_C_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`, when calling `cusolverDnXgeqrf( handle, params, m, n, CUDA_C_32F, reinterpret_cast<void*>(A), lda, CUDA_C_32F, reinterpret_cast<void*>(tau), CUDA_C_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`. xgeqrf<c10::complex<float> >, when calling `cusolverDnXgeqrf( handle, params, m, n, CUDA_C_64F, reinterpret_cast<void*>(A), lda, CUDA_C_64F, reinterpret_cast<void*>(tau), CUDA_C_64F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`, when calling `cusolverDnXgeqrf( handle, params, m, n, CUDA_C_64F, reinterpret_cast<void*>(A), lda, CUDA_C_64F, reinterpret_cast<void*>(tau), CUDA_C_64F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`. xgeqrf<c10::complex<double> >, when calling `cusolverDnXsyevd( handle, params, jobz, uplo, n, CUDA_R_32F, reinterpret_cast<void*>(A), lda, CUDA_R_32F, reinterpret_cast<void*>(W), CUDA_R_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`, when calling `cusolverDnXsyevd( handle, params, jobz, uplo, n, CUDA_R_32F, reinterpret_cast<void*>(A), lda, CUDA_R_32F, reinterpret_cast<void*>(W), CUDA_R_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`. xsyevd<float, float>, when calling `cusolverDnXsyevd( handle, params, jobz, uplo, n, CUDA_R_64F, reinterpret_cast<void*>(A), lda, CUDA_R_64F, reinterpret_cast<void*>(W), CUDA_R_64F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`, when calling `cusolverDnXsyevd( handle, params, jobz, uplo, n, CUDA_R_64F, reinterpret_cast<void*>(A), lda, CUDA_R_64F, reinterpret_cast<void*>(W), CUDA_R_64F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`. xsyevd<double, double>, when calling `cusolverDnXsyevd( handle, params, jobz, uplo, n, CUDA_C_32F, reinterpret_cast<void*>(A), lda, CUDA_R_32F, reinterpret_cast<void*>(W), CUDA_C_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`, when calling `cusolverDnXsyevd( handle, params, jobz, uplo, n, CUDA_C_32F, reinterpret_cast<void*>(A), lda, CUDA_R_32F, reinterpret_cast<void*>(W), CUDA_C_32F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`. xsyevd<c10::complex<float>, float>, when calling `cusolverDnXsyevd( handle, params, jobz, uplo, n, CUDA_C_64F, reinterpret_cast<void*>(A), lda, CUDA_R_64F, reinterpret_cast<void*>(W), CUDA_C_64F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`, when calling `cusolverDnXsyevd( handle, params, jobz, uplo, n, CUDA_C_64F, reinterpret_cast<void*>(A), lda, CUDA_R_64F, reinterpret_cast<void*>(W), CUDA_C_64F, reinterpret_cast<void*>(bufferOnDevice), workspaceInBytesOnDevice, reinterpret_cast<void*>(bufferOnHost), workspaceInBytesOnHost, info)`. xsyevd<c10::complex<double>, double>, when calling `cusolverDnCreate(handle)`, when calling `cusolverDnCreate(handle)`. /opt/pytorch/aten/src/ATen/native/cuda/linalg/CusolverDnHandlePool.cppcreateCusolverDnHandlegetCurrentCUDASolverDnHandleCannot create handle during program termination/opt/pytorch/aten/src/ATen/cuda/detail/DeviceThreadHandles.hreserve, when calling `cusolverDnSetStream(handle, stream)`, when calling `cusolverDnSetStream(handle, stream)`. 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