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make benchmark really working #11215

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Jun 7, 2018
Merged

make benchmark really working #11215

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make benchmark really working
panyx0718 Jun 6, 2018
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panyx0718 Jun 6, 2018
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2 changes: 2 additions & 0 deletions benchmark/fluid/README.md
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Expand Up @@ -29,9 +29,11 @@ Currently supported `--model` argument include:
You can choose to use GPU/CPU training. With GPU training, you can specify
`--gpus <gpu_num>` to run multi GPU training.
* Run distributed training with parameter servers:
* see run_fluid_benchmark.sh as an example.
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Need a link here.

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Not sure this is needed. link can be broken and the file is just in this folder

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@gongweibao gongweibao Jun 6, 2018 •
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[run_fluid_benchmark.sh](./run_fluid_benchmark.sh)

* start parameter servers:
```bash
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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pserver runs on CPU

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Done

sleep 15
```
* start trainers:
```bash
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9 changes: 9 additions & 0 deletions benchmark/fluid/run_fluid_benchmark.sh
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@@ -0,0 +1,9 @@
#!/bin/bash

PADDLE_TRAINING_ROLE=PSERVER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model resnet --device CPU --update_method pserver --iterations=10000 &

sleep 15

CUDA_VISIBLE_DEVICES=0,1 PADDLE_TRAINING_ROLE=TRAINER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model resnet --device GPU --update_method pserver --iterations=10000 --gpus 2 &

CUDA_VISIBLE_DEVICES=2,3 PADDLE_TRAINING_ROLE=TRAINER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=1 python fluid_benchmark.py --model resnet --device GPU --update_method pserver --iterations=10000 --gpus 2 &