From 94ad30e52b348d3f5917dc101c2a28dcf26b4481 Mon Sep 17 00:00:00 2001 From: Xi Chen Date: Thu, 12 Apr 2018 20:54:29 -0700 Subject: [PATCH] fix log service, add docker run command --- tools/aws_benchmarking/README.md | 19 ++++++++++++------ tools/aws_benchmarking/diagram.png | Bin 41741 -> 40790 bytes tools/aws_benchmarking/server/logs/master.log | 0 .../server/pserver.sh.template | 2 +- .../server/trainer.sh.template | 2 +- 5 files changed, 15 insertions(+), 8 deletions(-) create mode 100644 tools/aws_benchmarking/server/logs/master.log diff --git a/tools/aws_benchmarking/README.md b/tools/aws_benchmarking/README.md index 5fd586cc153..dfa2a5f4784 100644 --- a/tools/aws_benchmarking/README.md +++ b/tools/aws_benchmarking/README.md @@ -50,7 +50,10 @@ Training nodes will run your `ENTRYPOINT` script with the following environment - `TASK_NAME`: unique name to identify this training process. - `TRAINING_ROLE`: current node's role in this training process, either "PSERVER" or "TRAINER" - `PSERVER_HOSTS`: comma separated value of pserver end points, I.E. "192.168.1.2:5436,192.168.1.3:5436" - - `TRAINER_INDEX`: an integer to identify the index of current trainer + - `PSERVERS`: same as above + - `TRAINERS`: trainer count + - `SERVER_ENDPOINT`: current server end point if the node role is a pserver + - `TRAINER_INDEX`: an integer to identify the index of current trainer if the node role is a trainer. Now we have a working distributed training script which takes advantage of node environment variables and docker file to generate the training image. Run the following command: @@ -73,11 +76,15 @@ Training nodes will run your `ENTRYPOINT` script with the following environment Now let's start the training process: ```bash -docker run -i -v $HOME/.aws:/root/.aws -v :/.pem \ +docker run -i -v $HOME/.aws:/root/.aws -v :/root/.pem \ putcn/paddle_aws_client \ --action create \ --key_name \ ---security_group_id +--security_group_id \ +--pserver_image_id \ +--trainer_image_id \ +--pserver_count 2 \ +--trainer_count 2 ``` Now just wait until you see this: @@ -91,7 +98,7 @@ That means you can turn off your laptop and your cluster is creating instances, To access the master log: ```bash -docker run -i -v $HOME/.aws:/root/.aws -v :/.pem \ +docker run -i -v $HOME/.aws:/root/.aws \ putcn/paddle_aws_client \ --action status \ --master_server_public_ip \ @@ -101,7 +108,7 @@ putcn/paddle_aws_client \ To tear down the training setup: ```bash -docker run -i -v $HOME/.aws:/root/.aws -v :/.pem \ +docker run -i -v $HOME/.aws:/root/.aws \ putcn/paddle_aws_client \ --action cleanup \ --master_server_public_ip \ @@ -111,7 +118,7 @@ putcn/paddle_aws_client \ To retrieve training logs TBD -### Tech details +### Tech details *What to expect in this step* diff --git a/tools/aws_benchmarking/diagram.png b/tools/aws_benchmarking/diagram.png index 9dd656c9b4719fc6a96eb3d68c796daa0aaf7b98..b97909c5fe78b59d0e636ff73c2ed3e63a0be722 100644 GIT binary patch literal 40790 zcmb4rbySsG*YC484I(YlNFxo>sibr%5)z7pq#&`8*a%1qNOyxENJ-Zg5Rew66a}P1 z>8`sr$Mb#fJMR7Gj4=z?VNjA287wL_!4$ey4 zHje%rG})DMYm>l8i2vgg!sXBXjP7ATI1<-VVTKCw2~@^Zkh}aaisP!pv3E)J_Rf%~ zz_O+XXZlmQul@6^|6AN;4cVLaPg&sa$)Y(t=qj-Ped`5rG{?c9NjE78E_>E4MJdkT z^;DSPqziX%O}gCscLA^rDif2X=S-ZhQuRN6$QX)V_={!ls2qv*v1(Ry>^=`KIi~o#83t0Y>}*~)3kk%i^Zp4Voayp&S3xdEDwNImJ$4v! z*Z?m4Q1JfWl^!uO>d@23R{!16-+d+Fsl;_fXw#ur`=8H$Et_9fr+EMDuRus5@ck2K zUCTGPHo1jk|31M&2@BnxPjN!f(87IXd=~7XNf<4bGl!VUlcK-xJxoL@)cY+dC9sOZ 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b/tools/aws_benchmarking/server/pserver.sh.template index fe2360ed206..5e46a4246f1 100644 --- a/tools/aws_benchmarking/server/pserver.sh.template +++ b/tools/aws_benchmarking/server/pserver.sh.template @@ -1,2 +1,2 @@ #!/bin/bash -nvidia-docker run -i -p {PSERVER_PORT}:{PSERVER_PORT} -e "MASTER_ENDPOINT={MASTER_ENDPOINT}" -e "TASK_NAME={TASK_NAME}" -e "TRAINING_ROLE=PSERVER" -e "PSERVER_HOSTS={PSERVER_HOSTS}" {DOCKER_IMAGE} \ No newline at end of file +nvidia-docker run -i -p {PSERVER_PORT}:{PSERVER_PORT} -e "SERVER_ENDPOINT={SERVER_ENDPOINT}" -e "MASTER_ENDPOINT={MASTER_ENDPOINT}" -e "TASK_NAME={TASK_NAME}" -e "TRAINING_ROLE=PSERVER" -e "TRAINERS={TRAINER_COUNT}" -e "PSERVER_HOSTS={PSERVER_HOSTS}" -e "PSERVERS={PSERVER_HOSTS}" {DOCKER_IMAGE} {COMMAND} \ No newline at end of file diff --git a/tools/aws_benchmarking/server/trainer.sh.template b/tools/aws_benchmarking/server/trainer.sh.template index 89f405811e7..56405a8e31d 100644 --- a/tools/aws_benchmarking/server/trainer.sh.template +++ b/tools/aws_benchmarking/server/trainer.sh.template @@ -1,2 +1,2 @@ #!/bin/bash -nvidia-docker run -i -e "MASTER_ENDPOINT={MASTER_ENDPOINT}" -e "TASK_NAME={TASK_NAME}" -e "TRAINER_INDEX={TRAINER_INDEX}" -e "TRAINING_ROLE=TRAINER" -e "PSERVER_HOSTS={PSERVER_HOSTS}" {DOCKER_IMAGE} \ No newline at end of file +nvidia-docker run -i -e "MASTER_ENDPOINT={MASTER_ENDPOINT}" -e "TASK_NAME={TASK_NAME}" -e "TRAINER_COUNT={TRAINER_COUNT}" -e "TRAINER_INDEX={TRAINER_INDEX}" -e "TRAINING_ROLE=TRAINER" -e "PSERVER_HOSTS={PSERVER_HOSTS}" {DOCKER_IMAGE} {COMMAND} \ No newline at end of file -- GitLab