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benchmark/fluid/README.md

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@@ -29,7 +29,7 @@ Currently supported `--model` argument include:
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You can choose to use GPU/CPU training. With GPU training, you can specify
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`--gpus <gpu_num>` to run multi GPU training.
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* Run distributed training with parameter servers:
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* see run_fluid_benchmark.sh as an example.
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* see [run_fluid_benchmark.sh](https://github.com/PaddlePaddle/Paddle/blob/develop/benchmark/fluid/run_fluid_benchmark.sh) as an example.
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* start parameter servers:
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```bash
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PADDLE_TRAINING_ROLE=PSERVER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=1 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model mnist --device GPU --update_method pserver

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