a problem when running train.sh #2

CrabbyRabbit · 2020-10-22T02:03:10Z

Hi, thank you for your implementation of pytorch version for the paper.

Strangely, I meet the following problem when running train.sh

***** Error in `python3': free(): invalid pointer: ======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777f5)[0x7f88df7dc7 /lib/x86_64-linux-gnu/libc.so.6(+0x8038a)[0x7f88df7e53 /lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7f88df7e /home/cug/.local/lib/python3.7/site-packages/open3d/op /home/cug/.local/lib/python3.7/site-packages/open3d/op /home/cug/.local/lib/python3.7/site-packages/open3d/op /home/cug/.local/lib/python3.7/site-packages/open3d/op /home/cug/.local/lib/python3.7/site-packages/open3d/op /home/cug/.local/lib/python3.7/site-packages/open3d/op python3(_PyImport_LoadDynamicModuleWithSpec+0x185)[0x5 python3(+0x23187e)[0x55e598a5087e]
python3(_PyMethodDef_RawFastCallDict+0x2d2)[0x55e59895 python3(_PyCFunction_FastCallDict+0x21)[0x55e598959d31 python3(_PyEval_EvalFrameDefault+0x5c6c)[0x55e5989f3ff python3(_PyEval_EvalCodeWithName+0x2f9)[0x55e598934059 python3(_PyFunction_FastCallKeywords+0x387)[0x55e59899 python3(_PyEval_EvalFrameDefault+0x4ade)[0x55e5989f2e6 python3(_PyFunction_FastCallKeywords+0xfb)[0x55e598996 python3(_PyEval_EvalFrameDefault+0x520)[0x55e5989ee8b0 python3(_PyFunction_FastCallKeywords+0xfb)[0x55e598996 python3(_PyEval_EvalFrameDefault+0x6d6)[0x55e5989eea66 python3(_PyFunction_FastCallKeywords+0xfb)[0x55e598996 python3(_PyEval_EvalFrameDefault+0x6d6)[0x55e5989eea66 python3(_PyFunction_FastCallKeywords+0xfb)[0x55e598996 python3(_PyEval_EvalFrameDefault+0x6d6)[0x55e5989eea66 python3(_PyFunction_FastCallDict+0x10b)[0x55e59893506b python3(+0x12ccfe)[0x55e59894bcfe]
python3(_PyObject_CallMethodIdObjArgs+0xbd)[0x55e5989a python3(PyImport_ImportModuleLevelObject+0x1fe)[0x55e5 python3(_PyEval_EvalFrameDefault+0x296f)[0x55e5989f0cf python3(_PyEval_EvalCodeWithName+0x2f9)[0x55e598934059 python3(PyEval_EvalCodeEx+0x44)[0x55e598934f24]
python3(PyEval_EvalCode+0x1c)[0x55e598934f4c]
python3(+0x1dee71)[0x55e5989fde71]
python3(_PyMethodDef_RawFastCallDict+0x2d2)[0x55e59895 python3(_PyCFunction_FastCallDict+0x21)[0x55e598959d31 python3(_PyEval_EvalFrameDefault+0x5c6c)[0x55e5989f3ff python3(_PyEval_EvalCodeWithName+0x2f9)[0x55e598934059 python3(_PyFunction_FastCallKeywords+0x387)[0x55e59899 python3(_PyEval_EvalFrameDefault+0x4ade)[0x55e5989f2e6 python3(_PyFunction_FastCallKeywords+0xfb)[0x55e598996 python3(_PyEval_EvalFrameDefault+0x520)[0x55e5989ee8b0 python3(_PyFunction_FastCallKeywords+0xfb)[0x55e598996 python3(_PyEval_EvalFrameDefault+0x6d6)[0x55e5989eea66 python3(_PyFunction_FastCallKeywords+0xfb)[0x55e598996 python3(_PyEval_EvalFrameDefault+0x6d6)[0x55e5989eea66 python3(_PyFunction_FastCallDict+0x10b)[0x55e59893506b python3(+0x12ccfe)[0x55e59894bcfe]
python3(_PyObject_CallMethodIdObjArgs+0xbd)[0x55e5989a python3(PyImport_ImportModuleLevelObject+0x1fe)[0x55e5 python3(_PyEval_EvalFrameDefault+0x296f)[0x55e5989f0cf python3(_PyEval_EvalCodeWithName+0x2f9)[0x55e598934059 python3(PyEval_EvalCodeEx+0x44)[0x55e598934f24]
python3(PyEval_EvalCode+0x1c)[0x55e598934f4c]
python3(+0x1dee71)[0x55e5989fde71]
python3(_PyMethodDef_RawFastCallDict+0x2d2)[0x55e59895 python3(_PyCFunction_FastCallDict+0x21)[0x55e598959d31 python3(_PyEval_EvalFrameDefault+0x5c6c)[0x55e5989f3ff python3(_PyEval_EvalCodeWithName+0x2f9)[0x55e598934059 python3(_PyFunction_FastCallKeywords+0x387)[0x55e59899 python3(_PyEval_EvalFrameDefault+0x4ade)[0x55e5989f2e6 python3(_PyFunction_FastCallKeywords+0xfb)[0x55e598996 python3(_PyEval_EvalFrameDefault+0x520)[0x55e5989ee8b0 ======= Memory map: ========
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55e599e32000-55e59b69d000 rw-p 00000000 00:00 0 7f8878000000-7f8878021000 rw-p 00000000 00:00 0
7f8878021000-7f887c000000 ---p 00000000 00:00 0
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7f887f94e000-7f887ff24000 r-xp 00000000 08:14 19923504 7f887ff24000-7f8880123000 ---p 005d6000 08:14 19923504 7f8880123000-7f888013c000 r--p 005d5000 08:14 19923504 7f888013c000-7f8880143000 rw-p 005ee000 08:14 19923504 7f8880143000-7f8880174000 rw-p 00000000 00:00 0
7f8880174000-7f8880176000 r--p 00000000 08:14 19138879 7f8880176000-7f8880184000 r-xp 00002000 08:14 19138879 7f8880184000-7f8880186000 r--p 00010000 08:14 19138879 7f8880186000-7f8880187000 r--p 00011000 08:14 19138879 7f8880187000-7f8880188000 rw-p 00012000 08:14 19138879 7f8880188000-7f88802c8000 rw-p 00000000 00:00 0
7f88802c8000-7f88802cb000 r--p 00000000 08:14 19138902 7f88802cb000-7f88802d1000 r-xp 00003000 08:14 19138902 7f88802d1000-7f88803b2000 r--p 00009000 08:14 19138902 7f88803b2000-7f88803b3000 r--p 000e9000 08:14 19138902 7f88803b3000-7f88803d0000 rw-p 000ea000 08:14 19138902 7f88803d0000-7f8880450000 rw-p 00000000 00:00 0
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7f88805eb000-7f88805ed000 r--p 00000000 08:14 19138848 7f88805ed000-7f88805ee000 r-xp 00002000 08:14 19138848 7f88805ee000-7f88805ef000 r--p 00003000 08:14 19138848 7f88805ef000-7f88805f0000 r--p 00003000 08:14 19138848 7f88805f0000-7f88805f1000 rw-p 00004000 08:14 19138848 7f88805f1000-7f88808f1000 rw-p 00000000 00:00 0
7f88808f1000-7f88808f5000 r--p 00000000 08:14 19138880 7f88808f5000-7f88808fc000 r-xp 00004000 08:14 19138880 7f88808fc000-7f88808ff000 r--p 0000b000 08:14 19138880 7f88808ff000-7f8880900000 ---p 0000e000 08:14 19138880 7f8880900000-7f8880901000 r--p 0000e000 08:14 19138880 7f8880901000-7f8880904000 rw-p 0000f000 08:14 19138880 7f8880904000-7f8880909000 r--p 00000000 08:14 19138889 7f8880909000-7f8880917000 r-xp 00005000 08:14 19138889 7f8880917000-7f888091c000 r--p 00013000 08:14 19138889 7f888091c000-7f888091d000 r--p 00017000 08:14 19138889 7f888091d000-7f8880922000 rw-p 00018000 08:14 19138889 7f8880922000-7f88811b9000 rw-p 00000000 00:00 0
7f88811b9000-7f8882de0000 r-xp 00000000 08:14 19272032 7f8882de0000-7f8882fdf000 ---p 01c27000 08:14 19272032 7f8882fdf000-7f8883054000 rw-p 01c26000 08:14 19272032 7f8883054000-7f888305d000 rw-p 00000000 00:00 0
7f888305d000-7f888305f000 rw-p 01c9c000 08:14 19272032 7f888305f000-7f888a0d0000 r-xp 00000000 08:14 19272036 7f888a0d0000-7f888a2d0000 ---p 07071000 08:14 19272036 7f888a2d0000-7f888a2df000 rw-p 07071000 08:14 19272036 7f888a2df000-7f888a2e6000 rw-p 00000000 00:00 0
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7f888e0b2000-7f888e0b5000 rw-p 03b91000 08:14 19272035 7f888e0b5000-7f88905f1000 r-xp 00000000 08:14 19272034 7f88905f1000-7f88907f0000 ---p 0253c000 08:14 19272034 7f88907f0000-7f8891bbf000 rw-p 0253b000 08:14 19272034 7f8891bbf000-7f8892116000 rw-p 00000000 00:00 0
7f8892116000-7f8892117000 rw-p 0390b000 08:14 19272034 7f8892117000-7f889a4c7000 r-xp 00000000 08:14 19272037 7f889a4c7000-7f889a6c7000 ---p 083b0000 08:14 19272037 7f889a6c7000-7f889a6d9000 rw-p 083b0000 08:14 19272037 7f889a6d9000-7f889a751000 rw-p 00000000 00:00 0
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en3d.cpython-37m-x86_64-linux-gnu.so(PyInit_open3d+0xb7)[0x7f887fabf7f7]
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/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/site-packages/numpy/random/_bounded_integers.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/site-packages/numpy/random/_bounded_integers.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/site-packages/numpy/random/_bounded_integers.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_random.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_random.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_random.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_random.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_random.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_bisect.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_bisect.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_bisect.cpython-37m-x86_64-linux-gnu.so
/home/cug/miniconda3/envs/pytorch_2/lib/python3.7/lib-dynload/_bisect.cpython-37m-x86_64-linux-gnu.sotrain.sh: 行 2: 159180 已放弃 python3 mytrain.py configs/car_auto_T3_train_train_config configs/car_auto_T3_train_config --dataset_root_dir data**

Do you know why and how to solve it ?
or can you tell me the package version in the enviroment of your experiment?

thank you very much!

datong-new · 2020-10-23T07:38:06Z

@CrabbyRabbit
Sorry for so late response, and I have not encountered the same problem.
If you still have any problem, feel free to contact me.

Here is my conda packages：

_libgcc_mutex             0.1                 conda_forge    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
_openmp_mutex             4.5                       1_gnu    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
_tflow_select             2.1.0                       gpu    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
absl-py                   0.10.0           py36h9f0ad1d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
astor                     0.8.1              pyh9f0ad1d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
backcall                  0.2.0              pyh9f0ad1d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
backports                 1.0                        py_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
backports.functools_lru_cache 1.6.1                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
c-ares                    1.16.1               h516909a_3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ca-certificates           2020.6.20            hecda079_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
certifi                   2020.6.20        py36h9f0ad1d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
cudatoolkit               10.0.130                      0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cudnn                     7.6.5                cuda10.0_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cupti                     10.0.130                      0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
decorator                 4.4.2                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
freetype                  2.10.2               he06d7ca_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
future                    0.18.2                   pypi_0    pypi
gast                      0.2.2                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
google-pasta              0.2.0              pyh8c360ce_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
grpcio                    1.31.0           py36h769ab6c_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
h5py                      2.10.0          nompi_py36hecadee3_104    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
hdf5                      1.10.6          nompi_h3c11f04_101    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
importlib-metadata        2.0.0            py36h9f0ad1d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
intel-openmp              2020.2                      254    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
ipython                   7.12.0           py36h5ca1d4c_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ipython_genutils          0.2.0                      py_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
jedi                      0.15.2                   py36_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
jpeg                      9d                   h516909a_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
keras-applications        1.0.8                      py_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
keras-preprocessing       1.1.0                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
lcms2                     2.11                 hbd6801e_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ld_impl_linux-64          2.35                 h769bd43_9    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libblas                   3.8.0               17_openblas    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libcblas                  3.8.0               17_openblas    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libffi                    3.2.1             he1b5a44_1007    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libgcc-ng                 9.3.0               h24d8f2e_16    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libgfortran-ng            7.5.0               hdf63c60_16    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libgomp                   9.3.0               h24d8f2e_16    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
liblapack                 3.8.0               17_openblas    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libopenblas               0.3.10          pthreads_hb3c22a3_4    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libpng                    1.6.37               hed695b0_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libprotobuf               3.13.0               h8b12597_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libstdcxx-ng              9.3.0               hdf63c60_16    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libtiff                   4.1.0                hc7e4089_6    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
libwebp-base              1.1.0                h516909a_3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
lz4-c                     1.9.2                he1b5a44_3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
markdown                  3.2.2                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
mkl                       2020.2                      256    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
ncurses                   6.2                  he1b5a44_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ninja                     1.10.1               hc9558a2_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
numpy                     1.19.1           py36h3849536_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
olefile                   0.46                       py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
openssl                   1.1.1h               h516909a_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
opt_einsum                3.3.0                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
parso                     0.5.2                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pexpect                   4.8.0            py36h9f0ad1d_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pickleshare               0.7.5           py36h9f0ad1d_1001    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pillow                    7.2.0            py36h8328e55_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pip                       20.2.3                     py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
prompt-toolkit            3.0.7                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
prompt_toolkit            3.0.7                         0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
protobuf                  3.13.0           py36h831f99a_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ptyprocess                0.6.0                   py_1001    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pygments                  2.7.1                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
python                    3.6.11          h4d41432_2_cpython    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
python_abi                3.6                     1_cp36m    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
readline                  8.0                  he28a2e2_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
scipy                     1.5.2            py36h3a855aa_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
setuptools                49.6.0           py36h9f0ad1d_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
six                       1.15.0             pyh9f0ad1d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
sqlite                    3.33.0               h4cf870e_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tensorboard               1.15.0                   py36_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tensorflow                1.15.0          gpu_py36h5a509aa_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorflow-base           1.15.0          gpu_py36h9dcbed7_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorflow-estimator      1.15.1             pyh2649769_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
tensorflow-gpu            1.15.0               h0d30ee6_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
termcolor                 1.1.0                      py_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
tk                        8.6.10               hed695b0_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
torch                     1.6.0+cu101              pypi_0    pypi
torch-scatter             2.0.5                    pypi_0    pypi
torchvision               0.7.0+cu101              pypi_0    pypi
traitlets                 4.3.3            py36h9f0ad1d_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wcwidth                   0.2.5              pyh9f0ad1d_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
werkzeug                  0.16.1                     py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wheel                     0.35.1             pyh9f0ad1d_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
wrapt                     1.12.1           py36h8c4c3a4_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
xz                        5.2.5                h516909a_1    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
zipp                      3.2.0                      py_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
zlib                      1.2.11            h516909a_1009    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
zstd                      1.4.5                h6597ccf_2    https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge

CrabbyRabbit · 2020-10-23T12:18:10Z

@ShuDeng
thank you! It's really kind of you!

CrabbyRabbit · 2020-10-24T07:36:12Z

Hi, @ShuDeng feel sorry to bother you again...

I have solved the previous problem by changing the enviroment consistent with yours.
However, I meet the following new problem and it seems that there are still small bugs in model.py ( line 281)

I guess maybe the input date type is wrong. but I don't know how to rectify it ...
or maybe I did something wrong in some steps?

if you have free time, can you check the code？
thank you for your help!

datong-new · 2020-10-24T11:14:37Z

The code works in my local environment, maybe you can try to change this line to

batch_idx = torch.cat([batch_idx.long(), labels.long()], dim=1)

Hope this can help.

CrabbyRabbit · 2020-10-24T11:49:43Z

It really works, thank you so much ! ^_^

typhoonlee · 2021-01-14T15:19:13Z

It really works, thank you so much ! ^_^

Hi，Did you train successfully? Why did I keep running out of memory during training? What graphics card did you use? How many?

abhigoku10 · 2021-03-11T10:38:31Z

@CrabbyRabbit did u train the model sucessful can you share the trained model file ??

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a problem when running train.sh #2

a problem when running train.sh #2

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a problem when running train.sh #2

a problem when running train.sh #2

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