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				| @ -0,0 +1,21 @@ | |||||||
|  | #!/bin/bash | ||||||
|  | 
 | ||||||
|  | # Update to point to the source file. | ||||||
|  | VGG_SRC="vgg16_fluid.py" | ||||||
|  | 
 | ||||||
|  | export TRAINING_ROLE=PSERVER | ||||||
|  | export TRAINERS=2 | ||||||
|  | export POD_IP=127.0.0.1 | ||||||
|  | export PADDLE_INIT_PORT=6174 | ||||||
|  | MKL_NUM_THREADS=1 python -u ${VGG_SRC} --local 0 --ps_host=127.0.0.1:6174 --trainer_hosts=127.0.0.1:6174 & | ||||||
|  | 
 | ||||||
|  | # Need to wait for the ps to start first. | ||||||
|  | sleep 10 | ||||||
|  | echo "done start ps" | ||||||
|  | 
 | ||||||
|  | export TRAINING_ROLE=TRAINER | ||||||
|  | export TRAINERS=2 | ||||||
|  | export POD_IP=127.0.0.1 | ||||||
|  | export PADDLE_INIT_PORT=6174 | ||||||
|  | CUDA_VISIBLE_DEVICES=4 MKL_NUM_THREADS=1 python -u ${VGG_SRC} --local 0 --ps_host=127.0.0.1:6174 --trainer_hosts=127.0.0.1:6174 --device=GPU --task_index=0 & | ||||||
|  | CUDA_VISIBLE_DEVICES=5 MKL_NUM_THREADS=1 python -u ${VGG_SRC} --local 0 --ps_host=127.0.0.1:6174 --trainer_hosts=127.0.0.1:6174 --device=GPU --task_index=1 & | ||||||
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