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Tests not passed #14
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I also encountered the same problem.
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Same error
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It seems the meliad library is not numerically stable, giving different scores for different users. |
same here: FAIL: test_lm_score_may_fail_numerically_for_external_meliad (main.LmInferenceTest)Traceback (most recent call last):
Ran 2 tests in 82.937s |
same hereTraceback (most recent call last): First differing element 0:
Ran 2 tests in 62.007s FAILED (failures=1) |
@thtrieu I have encountered the same error here. Indeed, it does not affect other tests in However, I find it is not successful when solving Olympiad geometry. For example, when solving 2019 p6, the program terminates early with Could you please tell the specific hardware you use to run all Olympiad geometry successfully? (I use Ubuntu 20.04, Python 3.10.12, 64-core vCPU, 2*NVIDIA A10(24GB) but fail to reproduce the results) |
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Same here, the only test that does not pass when executing My specific numbers:
My setup: Apple M1, macOS Ventura 13.6.1, Python 3.10.8, tensorflow 2.13.0 |
Problems solved using Colab! |
@soxziw I'm running this in Google Colab and I got the exact same failure when running run_tests.sh
What kind of instance or GPU did you get when your tests were passing? |
The free TPU |
Hello, have you changed to a different version of jax? I am unable to call TPU using the dependency library in requirements.txt. I don't know if this is due to Meliad's influence, which prevented me from using GPU or CPU to reproduce the results in the paper. |
OHHHHH, Here we met: |
I followed your instructions and got one test not passed. It says the following:
What could be causing it?
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