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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/08/03 10:44:19 UTC
[GitHub] marcoabreu edited a comment on issue #11120: Address already in use
during tutorial test
marcoabreu edited a comment on issue #11120: Address already in use during tutorial test
URL: https://github.com/apache/incubator-mxnet/issues/11120#issuecomment-410216354
Happened again: http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/NightlyTests_onBinaries/detail/NightlyTests_onBinaries/102/pipeline
```
+ nosetests-3.4 --with-xunit --xunit-file nosetests_straight_dope_python3_single_gpu.xml test_notebooks_single_gpu.py --nologcapture
.......[01:16:58] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:109: 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)
.....[01:28:00] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:109: 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)
[01:28:00] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:109: 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)
.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 238, in init_sockets
self.shell_port = self._bind_socket(self.shell_socket, self.shell_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 549, 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
ERROR:root:Kernel died before replying to kernel_info
F...........................[01:48:50] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:109: 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)
.
======================================================================
FAIL: test_generative_adversarial_networks (test_notebooks_single_gpu.StraightDopeSingleGpuTests)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/work/mxnet/tests/nightly/straight_dope/test_notebooks_single_gpu.py", line 274, in test_generative_adversarial_networks
assert _test_notebook('chapter14_generative-adversarial-networks/conditional')
AssertionError
----------------------------------------------------------------------
Ran 42 tests in 2291.515s
FAILED (failures=1)
build.py: 2018-08-03 01:49:31,003 Running of command in container failed (1):
nvidia-docker\
run\
--rm\
-t\
--shm-size=500m\
-v\
/home/jenkins_slave/workspace/straight_dope-single_gpu:/work/mxnet\
-v\
/home/jenkins_slave/workspace/straight_dope-single_gpu/build:/work/build\
-v\
/tmp/ci_ccache:/work/ccache\
-u\
1001:1001\
-e\
CCACHE_MAXSIZE=500G\
-e\
CCACHE_TEMPDIR=/tmp/ccache\
-e\
CCACHE_DIR=/work/ccache\
-e\
CCACHE_LOGFILE=/tmp/ccache.log\
mxnetci/build.ubuntu_nightly_gpu\
/work/runtime_functions.sh\
nightly_straight_dope_python3_single_gpu_tests
build.py: 2018-08-03 01:49:31,003 You can get into the container by adding the -i option
Traceback (most recent call last):
File "ci/build.py", line 408, in <module>
sys.exit(main())
File "ci/build.py", line 337, in main
local_ccache_dir=args.ccache_dir, interactive=args.interactive)
File "ci/build.py", line 224, in container_run
raise subprocess.CalledProcessError(ret, cmd)
subprocess.CalledProcessError: Command 'nvidia-docker\
run\
--rm\
-t\
--shm-size=500m\
-v\
/home/jenkins_slave/workspace/straight_dope-single_gpu:/work/mxnet\
-v\
/home/jenkins_slave/workspace/straight_dope-single_gpu/build:/work/build\
-v\
/tmp/ci_ccache:/work/ccache\
-u\
1001:1001\
-e\
CCACHE_MAXSIZE=500G\
-e\
CCACHE_TEMPDIR=/tmp/ccache\
-e\
CCACHE_DIR=/work/ccache\
-e\
CCACHE_LOGFILE=/tmp/ccache.log\
mxnetci/build.ubuntu_nightly_gpu\
/work/runtime_functions.sh\
nightly_straight_dope_python3_single_gpu_tests' returned non-zero exit status 1
script returned exit code 1
```
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