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grpc._channel._Rendezvous: <_Rendezvous of RPC that terminated with (StatusCode.UNAVAILABLE, Connect Failed)>
See original GitHub issueConsider Stack Overflow for getting support using TensorBoard - they have a larger community with better searchability:
https://stackoverflow.com/questions/tagged/tensorboard
For bug reports, please include the following:
- TensorBoard version (1.8.0)
- TensorFlow version (1.8.0)
- OS Platform and version (Linux Ubuntu 14.04)
- Python version (3.6.2)
- For browser-related issues:
- Browser type and version (Chrome )
- Screenshot if it’s a visual issue
Traceback (most recent call last): File “<stdin>”, line 1, in <module> File “/home/qqdong/anaconda3/envs/tf1.7/lib/python3.6/site-packages/tensorflow/python/debug/wrappers/grpc_wrapper.py”, line 225, in run self._sent_graph_version) File “/home/qqdong/anaconda3/envs/tf1.7/lib/python3.6/site-packages/tensorflow/python/debug/wrappers/grpc_wrapper.py”, line 61, in publish_traceback send_source=True) File “/home/qqdong/anaconda3/envs/tf1.7/lib/python3.6/site-packages/tensorflow/python/debug/lib/source_remote.py”, line 192, in send_graph_tracebacks graph=graph, send_source=send_source) File “/home/qqdong/anaconda3/envs/tf1.7/lib/python3.6/site-packages/tensorflow/python/debug/lib/source_remote.py”, line 166, in _send_call_tracebacks stub.SendTracebacks(call_traceback) File “/home/qqdong/anaconda3/envs/tf1.7/lib/python3.6/site-packages/grpc/_channel.py”, line 487, in call return _end_unary_response_blocking(state, call, False, deadline) File “/home/qqdong/anaconda3/envs/tf1.7/lib/python3.6/site-packages/grpc/_channel.py”, line 437, in _end_unary_response_blocking raise _Rendezvous(state, None, None, deadline) grpc._channel._Rendezvous: <_Rendezvous of RPC that terminated with (StatusCode.UNAVAILABLE, Connect Failed)>
from tensorflow.python import debug as tf_debug
sess = tf.Session()
sess = tf_debug.TensorBoardDebugWrapperSession(sess, 'localhost:6064')
a = tf.constant([1,2])
sess.run(a)
Issue Analytics
- State:
- Created 5 years ago
- Reactions:2
- Comments:5 (2 by maintainers)
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@chihuahua @nfelt Yes, I’ve made sure TensorBoard is running on localhost with the debugger_port flag set to 6064:
tensorboard --logdir "/data3/dqq/projects/seq2seq_dqq/Models/" --port 6006 --debugger_port 6064The message from tensorboard is:
Creating InteractiveDebuggerPlugin at port 6064 E0410 15:22:42.716680446 50028 tcp_server_posix.cc:64] check for SO_REUSEPORT: {“created”:“@1523344962.716666366”,“description”:“SO_REUSEPORT unavailable on compiling system”,“file”:“src/core/lib/iomgr/socket_utils_common_posix.cc”,“file_line”:163} TensorBoard 1.7.0 at http://ubuntu:6006 (Press CTRL+C to quit)
The website of tensorboard #debugger is showing：
Debugger is waiting for Session.run() connections… tf.Session: import tensorflow as tf from tensorflow.python import debug as tf_debug sess = tf.Session() sess = tf_debug.TensorBoardDebugWrapperSession(sess, “ubuntu:6064”) sess.run(my_fetches) …
Ive similar error with https://github.com/tensorflow/tensorboard/issues/2477