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"ld.lld: error: corrupt input file: version definition index 0 for symbol curl_jmpenv is out of bounds" for libtensorflow.so #80
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This has to do with the tensorflow C API library, not the pip package. See issue #71 , does that help? |
I am actually using the 1.15 tensorflow C API library mentioned in the demo but yes, using gold instead of lld solved the issue for me. Do we have a IRC/Discord for discussion about the project (as I am facing some other issues)? Thanks! |
It'd be the llvm discord, but I (at least) am rarely there, not sure about the others; actually... looks like i'm logged on on my phone, so nevermind. I'm mtrofin there, too. But! One advantage of talking on github issues is that it's then available/visible to others who might hit similar issues. |
Okay, got it, thanks. Just as I mentioned in my last comment that I was able to solve the issue but I am now facing different issues when I try different combinations: #######################################################################################
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step : ninja distribution -j32
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step : ninja distribution -j32
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step : ninja distribution -j32
Can you suggest a combination which works for you? |
Have you tried the docker file mentioned in #71 ? |
Hey, the Dockerfile worked with very minor changes. I still wonder why it failed for me but anyways, thanks! Looking forward to contribute! |
Awesome! |
Hello,
@kshiteejm @mtrofin
I am trying to learn MLGO and would like to contribute to it. I went through the main paper and documentation. While following the Fuchsia demo, I have run into an error with libtensorflow.so:
I am strictly following the demo steps but my system is Ubuntu 22.04. So for python compatibility, I have created venv with Python 3.8.10 (all the python libraries and tensorflow dependencies were installed successfully). But now, I am stuck here and couldn't find any solution. Is the libtensorflow version mentioned in the demo not compatible now? I couldn't try any other as I don't know how to get it.
Thanks!
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