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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/06/01 07:42:33 UTC

[GitHub] marcoabreu opened a new issue #11120: Address already in use during tutorial test

marcoabreu opened a new issue #11120: Address already in use during tutorial test
URL: https://github.com/apache/incubator-mxnet/issues/11120
 
 
   http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-10656/7/pipeline/
   
   ```
   + nosetests-3.4 test_tutorials.py --nologcapture
   
   ....[19:25:36] src/io/iter_image_recordio_2.cc:170: ImageRecordIOParser2: ./data/caltech.rec, use 4 threads for decoding..
   
   .......[19:27:51] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
   
   .....[19:28:58] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
   
   ..[19:32:06] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
   
   [19:37:22] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
   
   ....[19:39:25] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:107: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
   
   .[19:39:51] src/nnvm/legacy_json_util.cc:209: Loading symbol saved by previous version v0.8.0. Attempting to upgrade...
   
   [19:39:51] src/nnvm/legacy_json_util.cc:217: Symbol successfully upgraded!
   
   .....[19:40:24] src/operator/././../common/utils.h:416: Optimizer with lazy_update = True detected. Be aware that lazy update with row_sparse gradient is different from standard update, and may lead to different empirical results. See https://mxnet.incubator.apache.org/api/python/optimization/optimization.html for more details.
   
   ..[19:40:43] src/operator/././../common/utils.h:416: Optimizer with lazy_update = True detected. Be aware that lazy update with row_sparse gradient is different from standard update, and may lead to different empirical results. See https://mxnet.incubator.apache.org/api/python/optimization/optimization.html for more details.
   
   ..Traceback (most recent call last):
   
     File "/usr/lib/python3.5/runpy.py", line 184, in _run_module_as_main
   
       "__main__", mod_spec)
   
     File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
   
       exec(code, run_globals)
   
     File "/usr/local/lib/python3.5/dist-packages/ipykernel_launcher.py", line 16, in <module>
   
       app.launch_new_instance()
   
     File "/usr/local/lib/python3.5/dist-packages/traitlets/config/application.py", line 657, in launch_instance
   
       app.initialize(argv)
   
     File "<decorator-gen-123>", line 2, in initialize
   
     File "/usr/local/lib/python3.5/dist-packages/traitlets/config/application.py", line 87, in catch_config_error
   
       return method(app, *args, **kwargs)
   
     File "/usr/local/lib/python3.5/dist-packages/ipykernel/kernelapp.py", line 456, in initialize
   
       self.init_sockets()
   
     File "/usr/local/lib/python3.5/dist-packages/ipykernel/kernelapp.py", line 248, in init_sockets
   
       self.control_port = self._bind_socket(self.control_socket, self.control_port)
   
     File "/usr/local/lib/python3.5/dist-packages/ipykernel/kernelapp.py", line 180, in _bind_socket
   
       s.bind("tcp://%s:%i" % (self.ip, port))
   
     File "zmq/backend/cython/socket.pyx", line 547, in zmq.backend.cython.socket.Socket.bind
   
     File "zmq/backend/cython/checkrc.pxd", line 25, in zmq.backend.cython.checkrc._check_rc
   
   zmq.error.ZMQError: Address already in use
   
   F..
   
   ======================================================================
   
   FAIL: test_tutorials.test_unsupervised_learning_gan
   
   ----------------------------------------------------------------------
   
   Traceback (most recent call last):
   
     File "/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in runTest
   
       self.test(*self.arg)
   
     File "/work/mxnet/tests/tutorials/test_tutorials.py", line 203, in test_unsupervised_learning_gan
   
       assert _test_tutorial_nb('unsupervised_learning/gan')
   
   AssertionError: 
   
   -------------------- >> begin captured stdout << ---------------------
   
   Kernel died before replying to kernel_info
   
   
   
   --------------------- >> end captured stdout << ----------------------
   
   
   
   ----------------------------------------------------------------------
   
   Ran 35 tests in 1024.216s
   
   
   
   FAILED (failures=1)
   
   build.py: 2018-05-31 19:41:38,780 Running of command in container failed (1): nvidia-docker run --rm -t --shm-size=3g -v /home/jenkins_slave/workspace/it-tutorials-py2:/work/mxnet -v /home/jenkins_slave/workspace/it-tutorials-py2/build:/work/build -u 1001:1001 mxnet/build.ubuntu_gpu /work/runtime_functions.sh tutorialtest_ubuntu_python2_gpu
   
   build.py: 2018-05-31 19:41:38,780 You can try to get into the container by using the following command: nvidia-docker run --rm -t --shm-size=3g -v /home/jenkins_slave/workspace/it-tutorials-py2:/work/mxnet -v /home/jenkins_slave/workspace/it-tutorials-py2/build:/work/build -u 1001:1001 -ti --entrypoint /bin/bash mxnet/build.ubuntu_gpu /work/runtime_functions.sh tutorialtest_ubuntu_python2_gpu
   
   into container: False
   
   Traceback (most recent call last):
   
     File "ci/build.py", line 307, in <module>
   
       sys.exit(main())
   
     File "ci/build.py", line 243, in main
   
       container_run(platform, docker_binary, shared_memory_size, command)
   
     File "ci/build.py", line 154, in container_run
   
       raise subprocess.CalledProcessError(ret, cmd)
   
   subprocess.CalledProcessError: Command 'nvidia-docker run --rm -t --shm-size=3g -v /home/jenkins_slave/workspace/it-tutorials-py2:/work/mxnet -v /home/jenkins_slave/workspace/it-tutorials-py2/build:/work/build -u 1001:1001 mxnet/build.ubuntu_gpu /work/runtime_functions.sh tutorialtest_ubuntu_python2_gpu' returned non-zero exit status 1
   
   script returned exit code 1
   ```
   
   Possibly related to hardcoding ports.

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