libflatbuffers.so.2：cannot open shared object file
tangyunlong opened this issue · 4 comments
Comment:
I think the library file libflatbuffers.so.2 is missing.
Downloading the library file and linking it manually should solve the problem, but I can't find a download resource for this library
BTW, my running environment is as follows
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
absl-py 1.2.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.1 py310h7f8727e_1
aiosignal 1.2.0 pyhd3eb1b0_0
astunparse 1.6.3 py_0
async-timeout 4.0.2 py310h06a4308_0
attrs 21.4.0 pyhd3eb1b0_0
blas 1.0 mkl
blinker 1.4 py310h06a4308_0
brotlipy 0.7.0 py310h7f8727e_1002
bzip2 1.0.8 h7b6447c_0
c-ares 1.18.1 h7f8727e_0
ca-certificates 2022.07.19 h06a4308_0
cachetools 4.2.2 pyhd3eb1b0_0
certifi 2022.9.24 py310h06a4308_0
cffi 1.15.1 py310h74dc2b5_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.0.4 py310h06a4308_0
cryptography 37.0.1 py310h9ce1e76_0
cudatoolkit 11.3.1 h2bc3f7f_2
cudnn 8.4.1.50 hed8a83a_0 conda-forge
dataclasses 0.8 pyh6d0b6a4_7
fftw 3.3.9 h27cfd23_1
flatbuffers 2.0.0 h2531618_0
frozenlist 1.2.0 py310h7f8727e_1
gast 0.4.0 pyh9f0ad1d_0 conda-forge
giflib 5.2.1 h7b6447c_0
google-auth 2.6.0 pyhd3eb1b0_0
google-auth-oauthlib 0.4.4 pyhd3eb1b0_0
google-pasta 0.2.0 pyhd3eb1b0_0
grpc-cpp 1.47.1 h05bd8bd_6 conda-forge
grpcio 1.47.1 py310h5b20944_6 conda-forge
h5py 3.7.0 py310he06866b_0
hdf5 1.10.6 h3ffc7dd_1
icu 70.1 h27087fc_0 conda-forge
idna 3.3 pyhd3eb1b0_0
importlib-metadata 4.11.3 py310h06a4308_0
intel-openmp 2021.4.0 h06a4308_3561
jpeg 9e h7f8727e_0
keras 2.10.0 pyhd8ed1ab_0 conda-forge
keras-preprocessing 1.1.2 pyhd3eb1b0_0
krb5 1.19.2 hac12032_0
ld_impl_linux-64 2.38 h1181459_1
libabseil 20220623.0 cxx17_h48a1fff_4 conda-forge
libcurl 7.84.0 h91b91d3_0
libedit 3.1.20210910 h7f8727e_0
libev 4.33 h7f8727e_1
libffi 3.3 he6710b0_2
libgcc-ng 12.1.0 h8d9b700_16 conda-forge
libgfortran-ng 11.2.0 h00389a5_1
libgfortran5 11.2.0 h1234567_1
libgomp 12.1.0 h8d9b700_16 conda-forge
libnghttp2 1.46.0 hce63b2e_0
libpng 1.6.37 hbc83047_0
libprotobuf 3.21.7 h6239696_0 conda-forge
libsqlite 3.39.4 h753d276_0 conda-forge
libssh2 1.10.0 h8f2d780_0
libstdcxx-ng 12.1.0 ha89aaad_16 conda-forge
libuuid 1.0.3 h7f8727e_2
libzlib 1.2.12 h166bdaf_3 conda-forge
markdown 3.3.4 py310h06a4308_0
mkl 2021.4.0 h06a4308_640
mkl-service 2.4.0 py310h7f8727e_0
mkl_fft 1.3.1 py310hd6ae3a3_0
mkl_random 1.2.2 py310h00e6091_0
multidict 5.2.0 py310h5eee18b_3
nccl 2.14.3.1 h0800d71_0 conda-forge
ncurses 6.3 h5eee18b_3
numpy 1.23.1 py310h1794996_0
numpy-base 1.23.1 py310hcba007f_0
oauthlib 3.2.0 pyhd3eb1b0_1
openssl 1.1.1q h7f8727e_0
opt_einsum 3.3.0 pyhd3eb1b0_1
packaging 21.3 pyhd3eb1b0_0
pip 22.2.2 py310h06a4308_0
protobuf 4.21.7 py310hd8f1fbe_0 conda-forge
pyasn1 0.4.8 pyhd3eb1b0_0
pyasn1-modules 0.2.8 py_0
pycparser 2.21 pyhd3eb1b0_0
pyjwt 2.4.0 py310h06a4308_0
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.9 py310h06a4308_0
pysocks 1.7.1 py310h06a4308_0
python 3.10.6 haa1d7c7_0
python-flatbuffers 2.0 pyhd3eb1b0_0
python_abi 3.10 2_cp310 conda-forge
re2 2022.06.01 h27087fc_0 conda-forge
readline 8.1.2 h7f8727e_1
requests 2.28.1 py310h06a4308_0
requests-oauthlib 1.3.0 py_0
rsa 4.7.2 pyhd3eb1b0_1
scipy 1.9.1 py310hd5efca6_0
setuptools 63.4.1 py310h06a4308_0
six 1.16.0 pyhd3eb1b0_1
snappy 1.1.9 h295c915_0
sqlite 3.39.3 h5082296_0
tensorboard 2.10.1 pyhd8ed1ab_0 conda-forge
tensorboard-data-server 0.6.0 py310hca6d32c_0
tensorboard-plugin-wit 1.8.1 py310h06a4308_0
tensorflow 2.10.0 cuda112py310he87a039_0 conda-forge
tensorflow-base 2.10.0 cuda112py310hf679b68_0 conda-forge
tensorflow-estimator 2.10.0 cuda112py310h2fa73eb_0 conda-forge
tensorflow-gpu 2.10.0 cuda112py310h0bbbad9_0 conda-forge
termcolor 1.1.0 py310h06a4308_1
tk 8.6.12 h1ccaba5_0
typing_extensions 4.3.0 py310h06a4308_0
tzdata 2022c h04d1e81_0
urllib3 1.26.11 py310h06a4308_0
werkzeug 2.0.3 pyhd3eb1b0_0
wheel 0.37.1 pyhd3eb1b0_0
wrapt 1.14.1 py310h5eee18b_0
xz 5.2.6 h5eee18b_0
yarl 1.8.1 py310h5eee18b_0
zipp 3.8.0 py310h06a4308_0
zlib 1.2.12 h5eee18b_3
and
GPU is NVIDIA GeForce 3090
NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7
Let me know if you need any addition i formation that the one contained in the comment
ok thank you a lot
The fix from #275 didn't work for me, I was already strictly using conda-forge. I found the following files in my env:
/home/username/miniconda3/envs/env-name/lib/libflatbuffers.a
/home/username/miniconda3/envs/env-name/lib/libflatbuffers.so
/home/username/miniconda3/envs/env-name/lib/libflatbuffers.so.22
/home/username/miniconda3/envs/env-name/lib/libflatbuffers.so.22.12.06
I simply copied libflatbuffers.so.22 to miniconda3/envs/env-name/lib/ as libflatbuffers.so.2 and Tensorflow 2.10 stopped throwing the error.
@remingm sorry that #275 didn't work for you.
I would be glad to help troubleshoot, but the information required in the new issue template is critical.
I'm going to close this issue since I seem to have resolved @tangyunlong .
If you are indeed experience the issue, strictly with conda-forge, then the issue is somewhere else. Maybe a real bug in our system. Please do open an issue. You should not have to copy so files around. conda should do that for you!