DeNA / Chainer_Realtime_Multi-Person_Pose_Estimation

Chainer version of Realtime Multi-Person Pose Estiamtion
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Slow training speed #23

Open ghost opened 6 years ago

ghost commented 6 years ago

Hi @leetenki, thanks for the implementation

I am trying to train the network from scratch using the COCO dataset using a Tesla K40m with the default parameters. However the training speed seems to be rather slow, around 0.17iters/sec. At this rate it would take several weeks to reach the 440000 iterations.

Is this training speed considered normal? Thank you!

leetenki commented 6 years ago

Hi, we changed code. now I think you can train the model faster.

cchamber commented 6 years ago

same problem! Is it possible to train on multiple gpus?

NiteshBharadwaj commented 5 years ago

It's showing 0.28 iter/s on a 1080 GTX with an ETA of 12 days. What is the typical training setup?