About the utilization of cpu and gpu

[JRMeyer]

>>> jackhuang
[December 28, 2017, 8:38am]

When training the model, I input the command: slash
./DeepSpeech.py --train_files ./data/CV/cv-valid-train-chosed10h.csv --dev_files ./data/CV/cv-valid-dev.csv --test_files ./data/CV/cv-valid-test.csv --checkpoint_dir ../checkPoint1024-1/ --export_dir ./export_model/ --n_hidden 1024 --epoch 75 --validation_step 1 --display_step 1 --train_batch_size 1 slash
The utilizaion of the GPU is about 60% slash
Howerver, when I set the slash --train_batch_size to 5, the utlizaiton of the
GPU always be 0% and utilization of CPU is 100%. I worder if this is
caused by CPU speed is not fast enough.

[This is an archived TTS discussion thread from discourse.mozilla.org/t/about-the-utilization-of-cpu-and-gpu]

[JRMeyer]

>>> kdavis
[December 28, 2017, 9:50am]

This can usually be diagnosed by looking at the output of htop and
nvidia-smi simultaneously.

[Archived Post]