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Cannot import torchdata when installed with conda on WSL #961
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Try install |
I did and it didn't help (no change in error). This is a clean install so it's seems like an issue with the conda packaging of torchdata. Note that the wheel is fine. |
Do you mind checking |
When |
Yes, here are the relevant details: $ conda list | grep libffi
libffi 3.4.2 h6a678d5_6
$ python -c "import torchdata"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/home/erip/anaconda3/envs/tmp-dev/lib/python3.10/site-packages/torchdata/__init__.py", line 7, in <module>
from torchdata import _extension # noqa: F401
File "/home/erip/anaconda3/envs/tmp-dev/lib/python3.10/site-packages/torchdata/_extension.py", line 34, in <module>
_init_extension()
File "/home/erip/anaconda3/envs/tmp-dev/lib/python3.10/site-packages/torchdata/_extension.py", line 31, in _init_extension
from torchdata import _torchdata as _torchdata
ImportError: /usr/lib/x86_64-linux-gnu/libp11-kit.so.0: undefined symbol: ffi_type_pointer, version LIBFFI_BASE_7.0 It seems like the right lib is coming along for the ride, but something is causing it to be linked improperly. I tried messing with |
TBH, I don't know. How about try to use |
It doesn't seem to help --- with a force reinstall, |
Yeah. I think |
One thing I intend to do is look in |
After conda installing $ find $CONDA_PREFIX -name "*libffi*" | xargs strings | grep LIBFFI_BASE_ | sort -u
LIBFFI_BASE_7.0
LIBFFI_BASE_7.1
LIBFFI_BASE_8.0 I think this suggests that the right libffi might not getting bundled, though I'm not positive since 3.4.2 is clearly installed as reported by conda. |
Do you mind sharing the result of |
$ conda create -n tmp -y python=3.10 -q && conda activate tmp && conda install -c pytorch torchdata -y -q
$ ldd $CONDA_PREFIX/lib/python3.10/site-packages/torchdata/_torchdata.so
linux-vdso.so.1 (0x00007ffeb9bb5000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007faad19c0000)
libz.so.1 => /home/erip/anaconda3/envs/tmp/lib/python3.10/site-packages/torchdata/../../../libz.so.1 (0x00007faad19a2000)
libcurl.so.4 => /lib/x86_64-linux-gnu/libcurl.so.4 (0x00007faad1910000)
libssl.so.1.1 => /home/erip/anaconda3/envs/tmp/lib/python3.10/site-packages/torchdata/../../../libssl.so.1.1 (0x00007faad187f000)
libcrypto.so.1.1 => /home/erip/anaconda3/envs/tmp/lib/python3.10/site-packages/torchdata/../../../libcrypto.so.1.1 (0x00007faad15b2000)
libstdc++.so.6 => /home/erip/anaconda3/envs/tmp/lib/python3.10/site-packages/torchdata/../../../libstdc++.so.6 (0x00007faad139c000)
libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007faad124d000)
libgcc_s.so.1 => /home/erip/anaconda3/envs/tmp/lib/python3.10/site-packages/torchdata/../../../libgcc_s.so.1 (0x00007faad1233000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007faad1041000)
/lib64/ld-linux-x86-64.so.2 (0x00007faad210f000)
libnghttp2.so.14 => /lib/x86_64-linux-gnu/libnghttp2.so.14 (0x00007faad1018000)
libidn2.so.0 => /lib/x86_64-linux-gnu/libidn2.so.0 (0x00007faad0ff7000)
librtmp.so.1 => /lib/x86_64-linux-gnu/librtmp.so.1 (0x00007faad0fd5000)
libssh.so.4 => /lib/x86_64-linux-gnu/libssh.so.4 (0x00007faad0f67000)
libpsl.so.5 => /lib/x86_64-linux-gnu/libpsl.so.5 (0x00007faad0f54000)
libgssapi_krb5.so.2 => /lib/x86_64-linux-gnu/libgssapi_krb5.so.2 (0x00007faad0f07000)
libldap_r-2.4.so.2 => /lib/x86_64-linux-gnu/libldap_r-2.4.so.2 (0x00007faad0eb1000)
liblber-2.4.so.2 => /lib/x86_64-linux-gnu/liblber-2.4.so.2 (0x00007faad0ea0000)
libbrotlidec.so.1 => /lib/x86_64-linux-gnu/libbrotlidec.so.1 (0x00007faad0e90000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007faad0e8a000)
libunistring.so.2 => /lib/x86_64-linux-gnu/libunistring.so.2 (0x00007faad0d08000)
libgnutls.so.30 => /lib/x86_64-linux-gnu/libgnutls.so.30 (0x00007faad0b32000)
libhogweed.so.5 => /lib/x86_64-linux-gnu/libhogweed.so.5 (0x00007faad0afb000)
libnettle.so.7 => /lib/x86_64-linux-gnu/libnettle.so.7 (0x00007faad0abf000)
libgmp.so.10 => /lib/x86_64-linux-gnu/libgmp.so.10 (0x00007faad0a3b000)
libkrb5.so.3 => /lib/x86_64-linux-gnu/libkrb5.so.3 (0x00007faad095e000)
libk5crypto.so.3 => /lib/x86_64-linux-gnu/libk5crypto.so.3 (0x00007faad092d000)
libcom_err.so.2 => /lib/x86_64-linux-gnu/libcom_err.so.2 (0x00007faad0926000)
libkrb5support.so.0 => /lib/x86_64-linux-gnu/libkrb5support.so.0 (0x00007faad0917000)
libresolv.so.2 => /lib/x86_64-linux-gnu/libresolv.so.2 (0x00007faad08f9000)
libsasl2.so.2 => /lib/x86_64-linux-gnu/libsasl2.so.2 (0x00007faad08dc000)
libgssapi.so.3 => /lib/x86_64-linux-gnu/libgssapi.so.3 (0x00007faad0897000)
libbrotlicommon.so.1 => /lib/x86_64-linux-gnu/libbrotlicommon.so.1 (0x00007faad0874000)
libp11-kit.so.0 => /lib/x86_64-linux-gnu/libp11-kit.so.0 (0x00007faad073e000)
libtasn1.so.6 => /lib/x86_64-linux-gnu/libtasn1.so.6 (0x00007faad0728000)
libkeyutils.so.1 => /lib/x86_64-linux-gnu/libkeyutils.so.1 (0x00007faad071f000)
libheimntlm.so.0 => /lib/x86_64-linux-gnu/libheimntlm.so.0 (0x00007faad0713000)
libkrb5.so.26 => /lib/x86_64-linux-gnu/libkrb5.so.26 (0x00007faad0680000)
libasn1.so.8 => /lib/x86_64-linux-gnu/libasn1.so.8 (0x00007faad05da000)
libhcrypto.so.4 => /lib/x86_64-linux-gnu/libhcrypto.so.4 (0x00007faad05a2000)
libroken.so.18 => /lib/x86_64-linux-gnu/libroken.so.18 (0x00007faad0587000)
libffi.so.7 => /home/erip/anaconda3/envs/tmp/lib/python3.10/site-packages/torchdata/../../../libffi.so.7 (0x00007faad0576000)
libwind.so.0 => /lib/x86_64-linux-gnu/libwind.so.0 (0x00007faad054c000)
libheimbase.so.1 => /lib/x86_64-linux-gnu/libheimbase.so.1 (0x00007faad053a000)
libhx509.so.5 => /lib/x86_64-linux-gnu/libhx509.so.5 (0x00007faad04ec000)
libsqlite3.so.0 => /home/erip/anaconda3/envs/tmp/lib/python3.10/site-packages/torchdata/../../../libsqlite3.so.0 (0x00007faad039e000)
libcrypt.so.1 => /lib/x86_64-linux-gnu/libcrypt.so.1 (0x00007faad0363000) |
So, it correctly finds the conda-provided libffi
Could you please share if there is |
Yes, it seems like it. $ find /lib/x86_64-linux-gnu/ -name "*libffi*"
/lib/x86_64-linux-gnu/pkgconfig/libffi.pc
/lib/x86_64-linux-gnu/libffi.so.7
/lib/x86_64-linux-gnu/libffi.a
/lib/x86_64-linux-gnu/libffi_pic.a
/lib/x86_64-linux-gnu/libffi.so
/lib/x86_64-linux-gnu/libffi.so.7.1.0
$ ldd /lib/x86_64-linux-gnu/libp11-kit.so.0
linux-vdso.so.1 (0x00007ffc8eb97000)
libffi.so.7 => /lib/x86_64-linux-gnu/libffi.so.7 (0x00007fb798408000)
libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007fb798402000)
libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007fb7983df000)
libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007fb7981ed000)
/lib64/ld-linux-x86-64.so.2 (0x00007fb798555000) |
I guess there might be some BC changes between libffi.so.7.1.0 and libffi.so.7 from. conda But, it's still unclear to me why conda wants to install another libffi.so.7 when there is one from your system. Can you pls check when libffi.so.7 is installed by conda? |
It seems to be at environment creation time so perhaps this is an upstream issue with conda on WSL. 馃槮 |
I created an issue upstream which is linked here. Hopefully they'll have some input. |
馃悰 Describe the bug
Versions
PyTorch version: 1.13.1
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.5 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.31
Python version: 3.10.9 (main, Jan 11 2023, 15:21:40) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.79.1-microsoft-standard-WSL2-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 11.7.99
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090
Nvidia driver version: 528.02
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] torch==1.13.1
[pip3] torchdata==0.5.1
[pip3] torchtext==0.14.1
[conda] blas 1.0 mkl
[conda] mkl 2022.1.0 hc2b9512_224
[conda] pytorch 1.13.1 py3.10_cuda11.7_cudnn8.5.0_0 pytorch
[conda] pytorch-cuda 11.7 h67b0de4_1 pytorch
[conda] pytorch-mutex 1.0 cuda pytorch
[conda] torchdata 0.5.1 pypi_0 pypi
[conda] torchtext 0.14.1 py310 pytorch
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