Segmentation fault for vmapping, indices, uvs = xatlas.parametrize(vertices, faces)

[WiserZhou]

when I use the vmapping, indices, uvs = xatlas.parametrize(vertices, faces), I get the segmentation fault:

Fatal Python error: Segmentation fault

Thread 0x00007fe9225ff640 (most recent call first): File "/home/chenyongwei/miniconda3/envs/trellis/lib/python3.10/threading.py", line 324 in wait File "/home/chenyongwei/miniconda3/envs/trellis/lib/python3.10/threading.py", line 607 in wait File "/home/chenyongwei/.local/lib/python3.10/site-packages/tqdm/_monitor.py", line 60 in run File "/home/chenyongwei/miniconda3/envs/trellis/lib/python3.10/threading.py", line 1016 in _bootstrap_inner File "/home/chenyongwei/miniconda3/envs/trellis/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x00007ff028281740 (most recent call first): File "/home/chenyongwei/Projects/TRELLIS/trellis/utils/postprocessing_utils.py", line 268 in parametrize_mesh File "/home/chenyongwei/Projects/TRELLIS/trellis/utils/postprocessing_utils.py", line 440 in to_glb File "/home/chenyongwei/Projects/TRELLIS/example.py", line 53 in

Extension modules: numpy._core._multiarray_umath, numpy.linalg._umath_linalg, PIL._imaging, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, PIL._imagingft, gmpy2.gmpy2, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, scipy._lib._ccallback_c, yaml._yaml, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.typing.builtins.itertools, numba.cpython.builtins.math, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, numba.cpython.hashing.math, numba.cpython.hashing.sys, numba.cpython.numbers.math, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg._matfuncs_expm, scipy.linalg._linalg_pythran, scipy.linalg.cython_blas, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, numba.np.arraymath.math, numba.cpython.mathimpl.math, numba.cpython.mathimpl.sys, _cffi_backend, numba.core.typing.cmathdecl.cmath, numba.core.typing.mathdecl.math, scipy.ndimage._nd_image, scipy.ndimage._rank_filter_1d, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, _ni_label, scipy.ndimage._ni_label, regex._regex, _brotli, zstandard.backend_c, markupsafe._speedups, sklearn.__check_build._check_build, psutil._psutil_linux, psutil._psutil_posix, scipy.spatial._ckdtree, scipy._lib.messagestream, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.spatial.transform._rotation, scipy.optimize._group_columns, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._cython_nnls, scipy._lib._uarray._uarray, scipy.linalg._decomp_interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.optimize._direct, scipy.integrate._odepack, scipy.integrate._quadpack, scipy.integrate._vode, scipy.integrate._dop, scipy.integrate._lsoda, scipy.interpolate._fitpack, scipy.interpolate._dfitpack, scipy.interpolate._dierckx, scipy.interpolate._ppoly, scipy.interpolate._interpnd, scipy.interpolate._rbfinterp_pythran, scipy.interpolate._rgi_cython, scipy.interpolate._bspl, scipy.special.cython_special, scipy.stats._stats, scipy.stats._sobol, scipy.stats._qmc_cy, scipy.stats._biasedurn, scipy.stats._stats_pythran, scipy.stats._levy_stable.levyst, scipy.stats._ansari_swilk_statistics, scipy.stats._mvn, scipy.stats._rcont.rcont, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, _cyutility, sklearn._cyutility, sklearn.utils._isfinite, sklearn.utils.sparsefuncs_fast, sklearn.utils.murmurhash, sklearn.utils._openmp_helpers, sklearn.metrics.cluster._expected_mutual_info_fast, sklearn.preprocessing._csr_polynomial_expansion, sklearn.preprocessing._target_encoder_fast, sklearn.metrics._dist_metrics, sklearn.metrics._pairwise_distances_reduction._datasets_pair, sklearn.utils._cython_blas, sklearn.metrics._pairwise_distances_reduction._base, sklearn.metrics._pairwise_distances_reduction._middle_term_computer, sklearn.utils._heap, sklearn.utils._sorting, sklearn.metrics._pairwise_distances_reduction._argkmin, sklearn.metrics._pairwise_distances_reduction._argkmin_classmode, sklearn.utils._vector_sentinel, sklearn.metrics._pairwise_distances_reduction._radius_neighbors, sklearn.metrics._pairwise_distances_reduction._radius_neighbors_classmode, sklearn.metrics._pairwise_fast, zmq.backend.cython._zmq, tornado.speedups, sklearn.neighbors._partition_nodes, sklearn.neighbors._ball_tree, sklearn.neighbors._kd_tree, sklearn.utils.arrayfuncs, sklearn.utils._random, sklearn.utils._seq_dataset, sklearn.linear_model._cd_fast, _loss, sklearn._loss._loss, sklearn.svm._liblinear, sklearn.svm._libsvm, sklearn.svm._libsvm_sparse, sklearn.linear_model._sag_fast, sklearn.utils._weight_vector, sklearn.linear_model._sgd_fast, sklearn.decomposition._online_lda_fast, sklearn.decomposition._cdnmf_fast, kaolin.ops.conversions.mise, vtkmodules.vtkCommonCore, vtkmodules.vtkCommonMath, vtkmodules.vtkCommonTransforms, vtkmodules.vtkCommonDataModel, vtkmodules.vtkCommonExecutionModel, vtkmodules.vtkParallelCore, vtkmodules.vtkImagingSources, vtkmodules.vtkCommonMisc, vtkmodules.vtkFiltersCore, vtkmodules.vtkFiltersPython, vtkmodules.vtkCommonComputationalGeometry, vtkmodules.vtkIOCore, vtkmodules.vtkFiltersCellGrid, vtkmodules.vtkIOCellGrid, vtkmodules.vtkIOLegacy, vtkmodules.vtkIOXMLParser, vtkmodules.vtkRenderingCore, vtkmodules.vtkDomainsChemistry, vtkmodules.vtkFiltersGeneral, vtkmodules.vtkFiltersExtraction, vtkmodules.vtkFiltersFlowPaths, vtkmodules.vtkFiltersGeometry, vtkmodules.vtkFiltersHybrid, vtkmodules.vtkFiltersModeling, vtkmodules.vtkFiltersHyperTree, vtkmodules.vtkFiltersSources, vtkmodules.vtkFiltersTexture, vtkmodules.vtkFiltersParallel, vtkmodules.vtkFiltersParallelDIY2, vtkmodules.vtkFiltersPoints, vtkmodules.vtkFiltersStatistics, vtkmodules.vtkFiltersVerdict, vtkmodules.vtkImagingCore, vtkmodules.vtkImagingGeneral, vtkmodules.vtkImagingHybrid, vtkmodules.vtkImagingMorphological, vtkmodules.vtkImagingStencil, vtkmodules.vtkIOGeometry, vtkmodules.vtkIOHDF, vtkmodules.vtkIOXML, vtkmodules.vtkIOInfovis, vtkmodules.vtkIOPLY, vtkmodules.vtkRenderingContext2D, vtkmodules.vtkPythonContext2D, vtkmodules.vtkImagingFourier, vtkmodules.vtkIOParallelXML, vtkmodules.vtkRenderingFreeType, pymeshfix._meshfix, igraph._igraph, kiwisolver._cext, PIL._imagingmath (total: 263)

this is the log when I use the: import faulthandler faulthandler.enable()