python - Distributed Tenserflow: Cannot colocate nodes and Cannot merge devices with incompatible tasks - 


if job_name == "ps":   server.join() elif job_name == "worker":   tf.device(     tf.train.replica_device_setter(             worker_device="/job:worker/task:%d" % task_index,              merge_devices = false,             cluster=cluster,              ps_strategy=greedy             )      ):       norm_prjct_op = _norm_projected_cxx()

normprjctop self-defined c++ operation, , program ran 1 parameter server. however, after added parameter server, got error:

cannot colocate nodes 'normprjctop' , 'h_grad/shape:    cannot merge devices incompatible tasks:      '/job:ps/task:1' , '/job:ps/task:0' [[node: normprjctop = normprjctop[   _class=["loc:@entitys", "loc:@relations", "loc:@mh", "loc:@mt"],      _device="/job:ps/task:0"](mh, mt, relations, entitys)]]

in tf.train.replica_device_setter, tried greedyloadbalancingstrategy , merge_devices = false none of them worked.

any advice? thanks!


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