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Comments (5)

jin-s13 avatar jin-s13 commented on August 23, 2024 1

Please try using workers_per_gpu=0 in the config file.

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innerlee avatar innerlee commented on August 23, 2024

We need more info to reproduce this.

Some simple checks before that:

  • data, could you double check if your data is well prepared? you may try to truncate the person_keypoints_val2017.json to a few samples only, and run on this tiny subset.
  • cpu/gpu status, check htop for cpu usage, and watch nvidia-smi for gpu usage. anything took 100% usage? How many gpus are used? is it runned in a docker env?
  • 1h is surely abnormal. if nothing happens after 5min when debugging, you may interrupt it

ps. i edited the above post to fence the codes.

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jiawenhao2015 avatar jiawenhao2015 commented on August 23, 2024

We need more info to reproduce this.

Some simple checks before that:

  • data, could you double check if your data is well prepared? you may try to truncate the person_keypoints_val2017.json to a few samples only, and run on this tiny subset.
  • cpu/gpu status, check htop for cpu usage, and watch nvidia-smi for gpu usage. anything took 100% usage? How many gpus are used? is it runned in a docker env?
  • 1h is surely abnormal. if nothing happens after 5min when debugging, you may interrupt it

ps. i edited the above post to fence the codes.

many thanks for your reply!

i print the log, find that it get stuck in epoch_based_runner.py(line 30),
when it fetch image
i have checked mine images ,but they are normal......
image

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jiawenhao2015 avatar jiawenhao2015 commented on August 23, 2024

Please try using workers_per_gpu=0 in the config file.

it works!!!!!👍👍👍👍👍 many many many thanks!!!!
i am so stupid~~~

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innerlee avatar innerlee commented on August 23, 2024

Please open a new issue instead of bump a closed one.
Their underlying cause might be different.

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