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aws: tensorflow_model_server: /lib64/libm.so.6: version `GLIBC_2.23' not found #22828
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self addressed: There are two versions of libm.so.6 in my aws ec2 instance. Since ec2 is a virtual machine, so the binary is built within the virtual environment using glibc 2.23 version and when running outside the virtual environment, it can not find that version. What i do is to find that version:
then check version for each libm:
this is the version i need, and then add it to an existing ld_library_path:
Then tensorflow_server works |
In my case for swift for tensorflow, GLIBC_2.27 is needed. I've checked every single libm.so.6 file but none of seem to have GLIBC_2.27. What can be done in this case? |
+1 on the above issue - I can't find GLIBC_2.27 |
Any updates? |
I have the same issue. Would you please share your solution/update if any? Thanks! My system infor
Related solutions |
Hi, I'm trying to deploy model with tf serving in colab but they give me this error. tensorflow_model_server: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.28' not found (required by tensorflow_model_server) tensorflow_model_server: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.26' not found (required by tensorflow_model_server) tensorflow_model_server: /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found (required by tensorflow_model_server) Any suggestions!!! |
Hi team,
I am trying to build tensorflow_model_server from source, I follow https://www.tensorflow.org/serving/setup and finish the building step.
But when I run it, I get the error message:
The platform is Amazon Linux 14,
gcc (GCC) 7.2.1 20170915 (Red Hat 7.2.1-2)
g++ (GCC) 4.8.5 20150623 (Red Hat 4.8.5-28)
I am trying to build glibc 2.23 to get libm.so, but can not configure
Any idea? Thanks!
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