Comments (10)
I just tested building without cuda. I ran configure again, provided "-march=native" as the "opt" compiler flag, and then built with --config=opt, without modifying anything other than setting TF_PYTHON_VERSION=3.10. That failed with the same static_cast error in MathFunctions.h. I changed the issue subject to remove the mention of CUDA since it happens without it too.
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Can you try disabling avx512_fp16? For gcc
use --copt=-mno-avx512fp16
.
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@QuesarVII,
Incorrectly mark vectorized casting as available with EIGEN_VECTORIZE_AVX512FP16. Since it doesn't exist, it's triggering all the other errors. Could you please try disabling the avx512_fp16 and try to compile. Thank you!
from tensorflow.
Yes, avx512_fp16 triggers the issue. Using -mno-avx512fp16 results in a successful build. Thanks.
from tensorflow.
@QuesarVII
Glad the issue is resolved for you, Could you please feel free to move this issue to closed status. Thank you!
from tensorflow.
Shouldn't the code base be fixed to resolve this issue before closing it? Disabling compiler flags is more of a workaround than a real fix. Thanks!
from tensorflow.
@QuesarVII,
This issue has been taken to the developer notice and apparently it might be disabled in the upcoming version releases. Also it is tracking internally. So that it will be resolved in the next versions. Thank you!
from tensorflow.
This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.
from tensorflow.
This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.
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Are you satisfied with the resolution of your issue?
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