Distributed tensorflow with multiple gpu

Question

It seems that tf.train.replica_device_setter doesn\'t allow specify gpu which work with.

What I want to do is like below:

 with tf.devi         


        

Answer 1

If your parameters are not sharded, you could do it with a simplified version of replica_device_setter like below:

def assign_to_device(worker=0, gpu=0, ps_device="/job:ps/task:0/cpu:0"):
    def _assign(op):
        node_def = op if isinstance(op, tf.NodeDef) else op.node_def
        if node_def.op == "Variable":
            return ps_device
        else:
            return "/job:worker/task:%d/gpu:%d" % (worker, gpu)
    return _assign

with tf.device(assign_to_device(1, 2)):
  # this op goes on worker 1 gpu 2
  my_op = tf.ones(())