GPU-util is 0 when training mobilenet_v1 using multiple GPUs in tensorflow slim.












0















I have 8 gpus and would like to train mobilenet_v1 using ImageNet and I followed the example in
https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet



This link is for mobilenet_v2.So I changed some parameters and use the command 



python3 train_image_classifier.py --model_name="mobilenet_v1" --learning_rate=0.36 --label_smoothing=0.1 --moving_average_decay=0.9999 --batch_size=96 --num_clones=8 --learning_rate_decay_factor=0.98 --num_epochs_per_decay=0.3125 --dataset_dir="/tmp/dataset_dir/train/" --train_dir="/tmp/ckpt/"


However, when I check my gpu utils, I found that not all my gpus are occupied.
enter image description here



How I can make it train on all the 8 gpus? Which parameters I need change? Thank you.






tensorflow tensorflow-slim







share|improve this question



























    0















    I have 8 gpus and would like to train mobilenet_v1 using ImageNet and I followed the example in
    https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet



    This link is for mobilenet_v2.So I changed some parameters and use the command 



    python3 train_image_classifier.py --model_name="mobilenet_v1" --learning_rate=0.36 --label_smoothing=0.1 --moving_average_decay=0.9999 --batch_size=96 --num_clones=8 --learning_rate_decay_factor=0.98 --num_epochs_per_decay=0.3125 --dataset_dir="/tmp/dataset_dir/train/" --train_dir="/tmp/ckpt/"


    However, when I check my gpu utils, I found that not all my gpus are occupied.
    enter image description here



    How I can make it train on all the 8 gpus? Which parameters I need change? Thank you.






    tensorflow tensorflow-slim







    share|improve this question

























      0












      0








      0








      I have 8 gpus and would like to train mobilenet_v1 using ImageNet and I followed the example in
      https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet



      This link is for mobilenet_v2.So I changed some parameters and use the command 



      python3 train_image_classifier.py --model_name="mobilenet_v1" --learning_rate=0.36 --label_smoothing=0.1 --moving_average_decay=0.9999 --batch_size=96 --num_clones=8 --learning_rate_decay_factor=0.98 --num_epochs_per_decay=0.3125 --dataset_dir="/tmp/dataset_dir/train/" --train_dir="/tmp/ckpt/"


      However, when I check my gpu utils, I found that not all my gpus are occupied.
      enter image description here



      How I can make it train on all the 8 gpus? Which parameters I need change? Thank you.






      tensorflow tensorflow-slim







      share|improve this question














      I have 8 gpus and would like to train mobilenet_v1 using ImageNet and I followed the example in
      https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet



      This link is for mobilenet_v2.So I changed some parameters and use the command 



      python3 train_image_classifier.py --model_name="mobilenet_v1" --learning_rate=0.36 --label_smoothing=0.1 --moving_average_decay=0.9999 --batch_size=96 --num_clones=8 --learning_rate_decay_factor=0.98 --num_epochs_per_decay=0.3125 --dataset_dir="/tmp/dataset_dir/train/" --train_dir="/tmp/ckpt/"


      However, when I check my gpu utils, I found that not all my gpus are occupied.
      enter image description here



      How I can make it train on all the 8 gpus? Which parameters I need change? Thank you.






      tensorflow tensorflow-slim




      tensorflow tensorflow-slim






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 3 at 18:23









      Kathy LeeKathy Lee

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