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The test test_gmres_on_larger_random_problem in tensornetwork/backends/numpy/numpy_backend_test.pylink always fails (500 fails out of 500 runs) for [float16] parameter.
The interesting part here is that the err and max(rtol, atol) are always exactly similar without seeds (as shown below)! Do you think this test needs a higher tolerance than what is being used when testing for float16? Or is there a deeper bug?
Err message:
> assert err < max(rtol, atol)
E assert 11.87 < 9.3994140625
E + where 9.3994140625 = max(9.3994140625, 0.09765625)
The text was updated successfully, but these errors were encountered:
Hi,
The test
test_gmres_on_larger_random_problem
intensornetwork/backends/numpy/numpy_backend_test.py
link always fails (500 fails out of 500 runs) for[float16]
parameter.The interesting part here is that the
err
andmax(rtol, atol)
are always exactly similar without seeds (as shown below)! Do you think this test needs a higher tolerance than what is being used when testing for float16? Or is there a deeper bug?Err message:
The text was updated successfully, but these errors were encountered: