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problem in detect variants using self-trained model #20
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Hi, How many threads have you set? And could you paste here the output of |
@aquaskyline
|
if you set |
Hi,
And there may be a bug when comparing the threads number with the maximum available cpu number. I set |
Hi, Neng, |
The reason why some jobs failed is that Clair3 was requesting more processes than the user environment allows Clair3 uses Tensorflow and pypy. These libraries open quite a few threads in each running instance. The In |
@aquaskyline @zhengzhenxian Best, |
Hi,
I have trained a pileup model (pre-trained + fine-tune) and the output model seems intact. The name of model files are replaced with
pileup
and combined with provided full_alignment model. I used the pileup model and full_alignment model to detect variants. Then the command occurs two kinds of errors.The first kind of error does not occur at a fixed location or time when the command is re-executed. And sometimes this type of error does not occur. The following two log outputs are examples of this type of error.
The second type of error appears in the step of
Calling variants using Full Alignment
. Here is the output log.I extracted the failed job and performed this job independently, it did not occur any error, the following is the output information.
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