Please help, my command is python main.py --mode=train --model_name=efficientnetv2-s --dataset_cfg=imagenet --model_dir=D:\Code\Pycharm\automl-master\efficientnetv2\data\

And it gives me the error below, how to fix it?

Fatal Python error: Aborted

Thread 0x000063f8 (most recent call first):
File "E:\Anaconda3\Lib\threading.py", line 320 in wait
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\summary\writer\event_file_writer.py", line 261 in get
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\summary\writer\event_file_writer.py", line 204 in run
File "E:\Anaconda3\Lib\threading.py", line 1038 in _bootstrap_inner
File "E:\Anaconda3\Lib\threading.py", line 995 in _bootstrap

Thread 0x00007dc8 (most recent call first):
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\client\session.py", line 1478 in _call_tf_sessionrun
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\client\session.py", line 1385 in _run_fn
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\client\session.py", line 1402 in _do_call
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\client\session.py", line 1395 in _do_run
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\client\session.py", line 1215 in _run
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\client\session.py", line 972 in run
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\training\monitored_session.py", line 1228 in run
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\training\monitored_session.py", line 1464 in run
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\training\monitored_session.py", line 1397 in run
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\training\monitored_session.py", line 1307 in run
File "E:\Anaconda3\Lib\site-packages\tensorflow\python\training\monitored_session.py", line 778 in run
File "E:\Anaconda3\Lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1535 in _train_with_estimator_spec
File "E:\Anaconda3\Lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1219 in _train_model_default
File "E:\Anaconda3\Lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 1188 in _train_model
File "E:\Anaconda3\Lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 360 in train
File "E:\Anaconda3\Lib\site-packages\tensorflow_estimator\python\estimator\tpu\tpu_estimator.py", line 3096 in train
File "D:\Code\Pycharm\automl-master\efficientnetv2\main.py", line 496 in main
File "E:\Anaconda3\Lib\site-packages\absl\app.py", line 254 in _run_main
File "E:\Anaconda3\Lib\site-packages\absl\app.py", line 308 in run
File "D:\Code\Pycharm\automl-master\efficientnetv2\main.py", line 504 in

Extension modules: numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_gen
erator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, google.
_upb._message, _cffi_backend, simplejson._speedups, h5py._errors, h5py.defs, h5py._objects, h5py.h5, h5py.utils, h5py.h5t, h5py.h5s, h5py.h5ac, h5py.h5p, h5py.h5r, h5py._proxy, h5p
y._conv, h5py.h5z, h5py.h5a, h5py.h5d, h5py.h5ds, h5py.h5g, h5py.h5i, h5py.h5o, h5py.h5f, h5py.h5fd, h5py.h5pl, h5py.h5l, h5py._selector, scipy._lib._ccallback_c, scipy.sparse._spa
rsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._isolve._iterative, 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.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp
_update, scipy.linalg._flinalg, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, s
cipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, snappy._snapp
y, lz4._version, lz4.frame._frame, zstandard.backend_c, PIL._imaging, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nat
type, pandas._libs.tslibs.timezones, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslib
s.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.p
eriod, 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.hashing, pyarrow.lib, pyarrow._hdfsio, pandas._libs.tslib, pandas._libs.ops, numexpr.interpreter, pyarrow._compute, bottleneck.move, bottleneck.nonreduce, bottleneck.nonreduc
e_axis, bottleneck.reduce, pandas._libs.arrays, pandas._libs.sparse, pandas._libs.reduction, pandas._libs.indexing, pandas._libs.index, pandas._libs.internals, pandas._libs.join, p
andas._libs.writers, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.testing, pandas._libs.parsers, pandas.
_libs.json, scipy.ndimage._nd_image, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, _ni_label, scipy.ndimage._ni_label, yaml._yaml (total: 127)