Comments (4)
I have the same problem.
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@limjoe I figured it out. This is a problem of "pod network" . you can check this link to find out more. I choose Calico as my pod network. but it don't work well on my system(ubuntu 16.04), actually the Calico official document also said that it requires some manual configuration on ubuntu. So I switch to Canal . Then it works well.
from ecosystem.
Thanks a lot, I used flannel network add-on before. And Canal works well indeed.
from ecosystem.
hi, I encountered the same problem:
2017-10-20 05:03:41.425370: I tensorflow/core/distributed_runtime/master.cc:209] CreateSession still waiting for response from worker: /job:ps/replica:0/task:0
2017-10-20 05:03:41.425421: I tensorflow/core/distributed_runtime/master.cc:209] CreateSession still waiting for response from worker: /job:worker/replica:0/task:0
Also I switch network to canal, the problem still there.
Is there any way to troubleshooting?
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Related Issues (20)
- About spark-tensorflow-distributor---I have the same problem as you. When I use a spark cluster with two or more nodes, the algorithm needs the same time as if I have only one node. I don't understand why. Please, someone answer this doubt
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- Task failed while writing rows HOT 2
- spark-tensorflow-distributor: RAM overflow when running ResNet152 HOT 1
- ByteType not supported, while IntegerType is too space-consuming
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- Build new Spark-Tensorflow-Connector for scala 2.12 HOT 5
- Failing to save the model pickle. and how to check for the predictions? HOT 1
- java.lang.NullPointerException when save as TFRecords
- How to avoid aggregate(shuffle) in processing the tfrecord file?
- mirrored_strategy_runner.py for multiple executors / workers
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