SuccessConsole Output

[EnvInject] - Mask passwords passed as build parameters.
GitHub pull request #9442 of commit 36cae1f7291175c728260e7e519cef528901b881.
[EnvInject] - Loading node environment variables.
Building remotely on research-jenkins-worker-09 (ubuntu ubuntu-gpu research-09 ubuntu-avx2) in workspace /home/jenkins/workspace/Ray-PRB@2
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Done
Cloning the remote Git repository
Cloning repository https://github.com/ray-project/ray.git
 > git init /home/jenkins/workspace/Ray-PRB@2 # timeout=10
Fetching upstream changes from https://github.com/ray-project/ray.git
 > git --version # timeout=10
 > git fetch --tags --progress https://github.com/ray-project/ray.git +refs/heads/*:refs/remotes/origin/*
 > git config remote.origin.url https://github.com/ray-project/ray.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/ray-project/ray.git # timeout=10
Fetching upstream changes from https://github.com/ray-project/ray.git
 > git fetch --tags --progress https://github.com/ray-project/ray.git +refs/pull/*:refs/remotes/origin/pr/*
 > git rev-parse 36cae1f7291175c728260e7e519cef528901b881^{commit} # timeout=10
 > git branch -a -v --no-abbrev --contains 36cae1f7291175c728260e7e519cef528901b881 # timeout=10
JENKINS-19022: warning: possible memory leak due to Git plugin usage; see: https://wiki.jenkins-ci.org/display/JENKINS/Remove+Git+Plugin+BuildsByBranch+BuildData
Checking out Revision 36cae1f7291175c728260e7e519cef528901b881 (origin/pr/9442/head)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 36cae1f7291175c728260e7e519cef528901b881
First time build. Skipping changelog.
[Ray-PRB@2] $ /bin/sh -xe /tmp/hudson6067753698975284408.sh
+ export BOOST_ROOT=/opt/rise/boost
+ pwd
+ export HOME=/home/jenkins/workspace/Ray-PRB@2
+ ./ci/jenkins_tests/run_multi_node_tests.sh
+ MEMORY_SIZE=8G
+ SHM_SIZE=4G
+++ dirname /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/entry_point.sh
++ cd /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
++ pwd
+ ROOT_DIR=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
+ SUPPRESS_OUTPUT=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output
+ [[ ! -z 1 ]]
+ retry bash /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_tune_tests.sh 8G 4G
+ local n=1
+ local max=3
+ true
+ bash /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_tune_tests.sh 8G 4G
+ MEMORY_SIZE=8G
+ SHM_SIZE=4G
+ DOCKER_SHA=
+++ dirname /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_tune_tests.sh
++ cd /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
++ pwd
+ ROOT_DIR=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
+ SUPPRESS_OUTPUT=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output
+ '[' 8G == '' ']'
+ '[' 4G == '' ']'
+ '[' '' == '' ']'
+ echo 'Building application docker.'
Building application docker.
+ docker build -q --no-cache -t ray-project/base-deps docker/base-deps
sha256:f8a6e520ce4a7c95bdd5ec910f756aed732025593194ba99b6f2fc58a39a61ff
+ git rev-parse HEAD
++ git rev-parse HEAD
+ git archive -o ./docker/tune_test/ray.tar 36cae1f7291175c728260e7e519cef528901b881
+ '[' 1 == 1 ']'
++ docker build --no-cache -q -t ray-project/tune_test docker/tune_test -f docker/tune_test/build_from_source.Dockerfile
+ DOCKER_SHA=sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5
+ echo 'Using Docker image' sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5
Using Docker image sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 pytest /ray/python/ray/tune/tests/test_actor_reuse.py

real	0m34.818s
user	0m0.054s
sys	0m0.037s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 pytest /ray/python/ray/tune/tests/test_tune_restore.py

real	3m15.935s
user	0m0.081s
sys	0m0.019s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/tests/example.py

real	0m11.068s
user	0m0.051s
sys	0m0.040s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 bash -c 'pip install -U tensorflow && python /ray/python/ray/tune/tests/test_logger.py'

real	0m35.756s
user	0m0.057s
sys	0m0.040s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 bash -c 'pip install -U tensorflow==1.15 && python /ray/python/ray/tune/tests/test_logger.py'

real	0m38.454s
user	0m0.057s
sys	0m0.039s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 bash -c 'pip install -U tensorflow==1.14 && python /ray/python/ray/tune/tests/test_logger.py'

real	0m24.624s
user	0m0.049s
sys	0m0.043s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 -e MPLBACKEND=Agg sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/tests/tutorial.py

real	0m38.666s
user	0m0.076s
sys	0m0.021s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/pbt_example.py --smoke-test

real	0m29.780s
user	0m0.070s
sys	0m0.017s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/hyperband_example.py

real	0m29.277s
user	0m0.047s
sys	0m0.051s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/async_hyperband_example.py --smoke-test

real	0m11.358s
user	0m0.055s
sys	0m0.031s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/tf_mnist_example.py --smoke-test

real	0m25.498s
user	0m0.054s
sys	0m0.037s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/lightgbm_example.py

real	0m13.038s
user	0m0.053s
sys	0m0.039s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/xgboost_example.py

real	0m12.165s
user	0m0.045s
sys	0m0.071s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/logging_example.py --smoke-test

real	0m10.210s
user	0m0.047s
sys	0m0.038s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/mlflow_example.py

real	0m28.654s
user	0m0.052s
sys	0m0.034s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/bayesopt_example.py --smoke-test

real	0m21.948s
user	0m0.074s
sys	0m0.033s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/hyperopt_example.py --smoke-test

real	0m22.016s
user	0m0.082s
sys	0m0.018s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/doc/source/tune/_tutorials/tune-sklearn.py

real	0m52.746s
user	0m0.065s
sys	0m0.023s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/nevergrad_example.py --smoke-test

real	0m21.700s
user	0m0.076s
sys	0m0.029s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/tune_mnist_keras.py --smoke-test

real	0m35.052s
user	0m0.049s
sys	0m0.059s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:e383f6ac89d898c5351c668e1e3655de004f574023a6dc18e6959bddf375f0a5 python /ray/python/ray/tune/examples/mnist_pytorch.py --smoke-test

real	0m16.721s
user	0m0.064s
sys	0m0.042s
2020-08-03 02:49:56,226	INFO resource_spec.py:223 -- Starting Ray with 4.69 GiB memory available for workers and up to 2.36 GiB for objects. You can adjust these settings with ray.init(memory=<bytes>, object_store_memory=<bytes>).
2020-08-03 02:49:56,874	INFO services.py:1193 -- View the Ray dashboard at localhost:8265
2020-08-03 02:49:58,329	WARNING worker.py:1123 -- The dashboard on node 89ddc7060d25 failed with the following error:
Traceback (most recent call last):
  File "/ray/python/ray/dashboard/dashboard.py", line 960, in <module>
    metrics_export_address=metrics_export_address)
  File "/ray/python/ray/dashboard/dashboard.py", line 513, in __init__
    build_dir = setup_static_dir(self.app)
  File "/ray/python/ray/dashboard/dashboard.py", line 414, in setup_static_dir
    "&& npm run build)", build_dir)
FileNotFoundError: [Errno 2] Dashboard build directory not found. If installing from source, please follow the additional steps required to build the dashboard(cd python/ray/dashboard/client && npm ci && npm run build): '/ray/python/ray/dashboard/client/build'

Exception in thread ray_print_logs:
Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/threading.py", line 916, in _bootstrap_inner
    self.run()
  File "/opt/conda/lib/python3.6/threading.py", line 864, in run
    self._target(*self._args, **self._kwargs)
  File "/ray/python/ray/worker.py", line 1017, in print_logs
    colorama.Style.RESET_ALL, line))
UnicodeEncodeError: 'ascii' codec can't encode character '\u258d' in position 29: ordinal not in range(128)

2020-08-03 02:50:03,874	ERROR trial_runner.py:523 -- Trial train_mnist_0494f_00000: Error processing event.
Traceback (most recent call last):
  File "/ray/python/ray/tune/trial_runner.py", line 471, in _process_trial
    result = self.trial_executor.fetch_result(trial)
  File "/ray/python/ray/tune/ray_trial_executor.py", line 430, in fetch_result
    result = ray.get(trial_future[0], DEFAULT_GET_TIMEOUT)
  File "/ray/python/ray/worker.py", line 1527, in get
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(TuneError): ray::ImplicitFunc.train() (pid=104, ip=172.17.0.4)
  File "python/ray/_raylet.pyx", line 472, in ray._raylet.execute_task
  File "python/ray/_raylet.pyx", line 425, in ray._raylet.execute_task.function_executor
  File "/ray/python/ray/tune/trainable.py", line 319, in train
    result = self.step()
  File "/ray/python/ray/tune/function_runner.py", line 252, in step
    self._report_thread_runner_error(block=True)
  File "/ray/python/ray/tune/function_runner.py", line 349, in _report_thread_runner_error
    .format(err_tb_str)))
ray.tune.error.TuneError: Trial raised an exception. Traceback:
ray::ImplicitFunc.train() (pid=104, ip=172.17.0.4)
  File "/ray/python/ray/tune/function_runner.py", line 139, in run
    self._entrypoint()
  File "/ray/python/ray/tune/function_runner.py", line 202, in entrypoint
    self._status_reporter.get_checkpoint())
  File "/ray/python/ray/tune/function_runner.py", line 380, in _trainable_func
    output = train_func(config)
  File "/ray/python/ray/tune/examples/mnist_pytorch.py", line 94, in train_mnist
    train_loader, test_loader = get_data_loaders()
  File "/ray/python/ray/tune/examples/mnist_pytorch.py", line 81, in get_data_loaders
    transform=mnist_transforms),
  File "/opt/conda/lib/python3.6/site-packages/torchvision/datasets/mnist.py", line 70, in __init__
    self.download()
  File "/opt/conda/lib/python3.6/site-packages/torchvision/datasets/mnist.py", line 137, in download
    download_and_extract_archive(url, download_root=self.raw_folder, filename=filename, md5=md5)
  File "/opt/conda/lib/python3.6/site-packages/torchvision/datasets/utils.py", line 264, in download_and_extract_archive
    download_url(url, download_root, filename, md5)
  File "/opt/conda/lib/python3.6/site-packages/torchvision/datasets/utils.py", line 97, in download_url
    raise e
  File "/opt/conda/lib/python3.6/site-packages/torchvision/datasets/utils.py", line 85, in download_url
    reporthook=gen_bar_updater()
  File "/opt/conda/lib/python3.6/urllib/request.py", line 277, in urlretrieve
    block = fp.read(bs)
  File "/opt/conda/lib/python3.6/http/client.py", line 459, in read
    n = self.readinto(b)
  File "/opt/conda/lib/python3.6/http/client.py", line 503, in readinto
    n = self.fp.readinto(b)
  File "/opt/conda/lib/python3.6/socket.py", line 586, in readinto
    return self._sock.recv_into(b)
ConnectionResetError: [Errno 104] Connection reset by peer
== Status ==
Memory usage on this node: 176.0/377.8 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 64.000: None | Iter 16.000: None | Iter 4.000: None | Iter 1.000: None
Resources requested: 2/2 CPUs, 0/0 GPUs, 0.0/4.69 GiB heap, 0.0/1.61 GiB objects
Result logdir: /root/ray_results/exp
Number of trials: 1 (1 RUNNING)
+-------------------------+----------+-------+-------------+------------+
| Trial name              | status   | loc   |          lr |   momentum |
|-------------------------+----------+-------+-------------+------------|
| train_mnist_0494f_00000 | RUNNING  |       | 0.000802766 |   0.731294 |
+-------------------------+----------+-------+-------------+------------+


(pid=104) 2020-08-03 02:49:59,465	WARNING function_runner.py:376 -- Function checkpointing is disabled. This may result in unexpected behavior when using checkpointing features or certain schedulers. To enable, set the train function arguments to be `func(config, checkpoint)`.
(pid=104) 
0it [00:00, ?it/s]
(pid=104) Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to /root/data/MNIST/raw/train-images-idx3-ubyte.gz
(pid=104) 
  0%|          | 0/9912422 [00:00<?, ?it/s]
(pid=104) 
  0%|          | 16384/9912422 [00:00<01:04, 153600.83it/s]
(pid=104) 
  1%|          | 98304/9912422 [00:00<00:48, 200396.20it/s]
== Status ==
Memory usage on this node: 176.2/377.8 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 64.000: None | Iter 16.000: None | Iter 4.000: None | Iter 1.000: None
Resources requested: 0/2 CPUs, 0/0 GPUs, 0.0/4.69 GiB heap, 0.0/1.61 GiB objects
Result logdir: /root/ray_results/exp
Number of trials: 1 (1 ERROR)
+-------------------------+----------+-------+-------------+------------+
| Trial name              | status   | loc   |          lr |   momentum |
|-------------------------+----------+-------+-------------+------------|
| train_mnist_0494f_00000 | ERROR    |       | 0.000802766 |   0.731294 |
+-------------------------+----------+-------+-------------+------------+
Number of errored trials: 1
+-------------------------+--------------+----------------------------------------------------------------------------------------------------------+
| Trial name              |   # failures | error file                                                                                               |
|-------------------------+--------------+----------------------------------------------------------------------------------------------------------|
| train_mnist_0494f_00000 |            1 | /root/ray_results/exp/train_mnist_0_lr=0.00080277,momentum=0.73129_2020-08-03_02-49-587urrzonv/error.txt |
+-------------------------+--------------+----------------------------------------------------------------------------------------------------------+

== Status ==
Memory usage on this node: 176.2/377.8 GiB
Using AsyncHyperBand: num_stopped=0
Bracket: Iter 64.000: None | Iter 16.000: None | Iter 4.000: None | Iter 1.000: None
Resources requested: 0/2 CPUs, 0/0 GPUs, 0.0/4.69 GiB heap, 0.0/1.61 GiB objects
Result logdir: /root/ray_results/exp
Number of trials: 1 (1 ERROR)
+-------------------------+----------+-------+-------------+------------+
| Trial name              | status   | loc   |          lr |   momentum |
|-------------------------+----------+-------+-------------+------------|
| train_mnist_0494f_00000 | ERROR    |       | 0.000802766 |   0.731294 |
+-------------------------+----------+-------+-------------+------------+
Number of errored trials: 1
+-------------------------+--------------+----------------------------------------------------------------------------------------------------------+
| Trial name              |   # failures | error file                                                                                               |
|-------------------------+--------------+----------------------------------------------------------------------------------------------------------|
| train_mnist_0494f_00000 |            1 | /root/ray_results/exp/train_mnist_0_lr=0.00080277,momentum=0.73129_2020-08-03_02-49-587urrzonv/error.txt |
+-------------------------+--------------+----------------------------------------------------------------------------------------------------------+

Traceback (most recent call last):
  File "/ray/python/ray/tune/examples/mnist_pytorch.py", line 141, in <module>
    "use_gpu": int(args.cuda)
  File "/ray/python/ray/tune/tune.py", line 356, in run
    raise TuneError("Trials did not complete", incomplete_trials)
ray.tune.error.TuneError: ('Trials did not complete', [train_mnist_0494f_00000])
FAILED 1
+ [[ 1 -lt 3 ]]
+ (( n++ ))
+ echo 'Command failed. Attempt 2/3:'
Command failed. Attempt 2/3:
+ true
+ bash /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_tune_tests.sh 8G 4G
+ MEMORY_SIZE=8G
+ SHM_SIZE=4G
+ DOCKER_SHA=
+++ dirname /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_tune_tests.sh
++ cd /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
++ pwd
+ ROOT_DIR=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
+ SUPPRESS_OUTPUT=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output
+ '[' 8G == '' ']'
+ '[' 4G == '' ']'
+ '[' '' == '' ']'
+ echo 'Building application docker.'
Building application docker.
+ docker build -q --no-cache -t ray-project/base-deps docker/base-deps
sha256:dc5fa8656fbe99e787d844785d8dd5bdc5cc504d6b99cfa8a67fa7b4a72fc035
+ git rev-parse HEAD
++ git rev-parse HEAD
+ git archive -o ./docker/tune_test/ray.tar 36cae1f7291175c728260e7e519cef528901b881
+ '[' 1 == 1 ']'
++ docker build --no-cache -q -t ray-project/tune_test docker/tune_test -f docker/tune_test/build_from_source.Dockerfile
+ DOCKER_SHA=sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c
+ echo 'Using Docker image' sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c
Using Docker image sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c pytest /ray/python/ray/tune/tests/test_actor_reuse.py

real	0m40.363s
user	0m0.050s
sys	0m0.045s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c pytest /ray/python/ray/tune/tests/test_tune_restore.py

real	3m50.547s
user	0m0.116s
sys	0m0.016s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/tests/example.py

real	0m10.581s
user	0m0.046s
sys	0m0.054s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c bash -c 'pip install -U tensorflow && python /ray/python/ray/tune/tests/test_logger.py'

real	0m37.415s
user	0m0.063s
sys	0m0.044s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c bash -c 'pip install -U tensorflow==1.15 && python /ray/python/ray/tune/tests/test_logger.py'

real	0m39.577s
user	0m0.045s
sys	0m0.045s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c bash -c 'pip install -U tensorflow==1.14 && python /ray/python/ray/tune/tests/test_logger.py'

real	0m25.760s
user	0m0.051s
sys	0m0.039s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 -e MPLBACKEND=Agg sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/tests/tutorial.py

real	0m41.392s
user	0m0.046s
sys	0m0.055s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/pbt_example.py --smoke-test

real	0m29.581s
user	0m0.044s
sys	0m0.061s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/hyperband_example.py

real	0m30.118s
user	0m0.066s
sys	0m0.042s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/async_hyperband_example.py --smoke-test

real	0m11.301s
user	0m0.061s
sys	0m0.030s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/tf_mnist_example.py --smoke-test

real	0m26.000s
user	0m0.052s
sys	0m0.025s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/lightgbm_example.py

real	0m12.710s
user	0m0.044s
sys	0m0.047s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/xgboost_example.py

real	0m12.155s
user	0m0.077s
sys	0m0.021s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/logging_example.py --smoke-test

real	0m10.538s
user	0m0.073s
sys	0m0.021s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/mlflow_example.py

real	0m29.242s
user	0m0.067s
sys	0m0.035s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/bayesopt_example.py --smoke-test

real	0m21.890s
user	0m0.057s
sys	0m0.039s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/hyperopt_example.py --smoke-test

real	0m21.757s
user	0m0.028s
sys	0m0.061s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/doc/source/tune/_tutorials/tune-sklearn.py

real	0m59.528s
user	0m0.037s
sys	0m0.054s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/nevergrad_example.py --smoke-test

real	0m22.142s
user	0m0.027s
sys	0m0.062s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/tune_mnist_keras.py --smoke-test

real	0m35.607s
user	0m0.060s
sys	0m0.039s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/mnist_pytorch.py --smoke-test

real	0m18.186s
user	0m0.029s
sys	0m0.063s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/mnist_pytorch_lightning.py --smoke-test

real	4m49.435s
user	0m0.064s
sys	0m0.087s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/mnist_pytorch_trainable.py --smoke-test

real	0m16.773s
user	0m0.057s
sys	0m0.039s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/genetic_example.py --smoke-test

real	0m11.405s
user	0m0.065s
sys	0m0.037s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/skopt_example.py --smoke-test

real	0m38.286s
user	0m0.058s
sys	0m0.045s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/dragonfly_example.py --smoke-test

real	0m45.033s
user	0m0.062s
sys	0m0.030s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/zoopt_example.py --smoke-test

real	0m15.558s
user	0m0.057s
sys	0m0.038s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/pbt_convnet_example.py --smoke-test

real	0m26.530s
user	0m0.040s
sys	0m0.052s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/hyperband_function_example.py --smoke-test

real	0m16.295s
user	0m0.050s
sys	0m0.030s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/pbt_function.py --smoke-test

real	0m45.203s
user	0m0.051s
sys	0m0.039s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/pbt_dcgan_mnist/pbt_dcgan_mnist.py --smoke-test

real	0m31.035s
user	0m0.058s
sys	0m0.029s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/ci/long_running_distributed_tests/workloads/pytorch_pbt_failure.py --smoke-test

real	1m43.995s
user	0m0.055s
sys	0m0.037s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c python /ray/python/ray/tune/examples/bohb_example.py

real	0m17.458s
user	0m0.051s
sys	0m0.041s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:a5c37256817904ebe8ea1bab0579f65d0a9c896ab52eddbacda0c2bb7942800c pytest /ray/python/ray/tune/tests/test_cluster.py

real	4m12.575s
user	0m0.071s
sys	0m0.053s
+ break
+ [[ ! -z 1 ]]
+ retry bash /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_doc_tests.sh 8G 4G
+ local n=1
+ local max=3
+ true
+ bash /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_doc_tests.sh 8G 4G
+ MEMORY_SIZE=8G
+ SHM_SIZE=4G
+ DOCKER_SHA=
+++ dirname /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_doc_tests.sh
++ cd /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
++ pwd
+ ROOT_DIR=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
+ SUPPRESS_OUTPUT=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output
+ '[' 8G == '' ']'
+ '[' 4G == '' ']'
+ '[' '' == '' ']'
+ echo 'Building application docker.'
Building application docker.
+ docker build -q --no-cache -t ray-project/base-deps docker/base-deps
sha256:2889a85b4aa220f41928f5e221b9695abf94ada1dd8ef3d903548bf64130cb5b
+ git rev-parse HEAD
++ git rev-parse HEAD
+ git archive -o ./docker/tune_test/ray.tar 36cae1f7291175c728260e7e519cef528901b881
+ '[' 1 == 1 ']'
++ docker build --no-cache -q -t ray-project/tune_test docker/tune_test -f docker/tune_test/build_from_source.Dockerfile
+ DOCKER_SHA=sha256:270ae05aaeb30b22ddf1878503c7bd8f7c1d7798a9ea286719726c05caf1276d
+ echo 'Using Docker image' sha256:270ae05aaeb30b22ddf1878503c7bd8f7c1d7798a9ea286719726c05caf1276d
Using Docker image sha256:270ae05aaeb30b22ddf1878503c7bd8f7c1d7798a9ea286719726c05caf1276d
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:270ae05aaeb30b22ddf1878503c7bd8f7c1d7798a9ea286719726c05caf1276d python /ray/doc/examples/plot_pong_example.py

real	2m13.013s
user	0m0.071s
sys	0m0.030s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:270ae05aaeb30b22ddf1878503c7bd8f7c1d7798a9ea286719726c05caf1276d python /ray/doc/examples/plot_parameter_server.py

real	0m58.124s
user	0m0.070s
sys	0m0.017s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:270ae05aaeb30b22ddf1878503c7bd8f7c1d7798a9ea286719726c05caf1276d python /ray/doc/examples/plot_hyperparameter.py

real	0m16.930s
user	0m0.051s
sys	0m0.027s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:270ae05aaeb30b22ddf1878503c7bd8f7c1d7798a9ea286719726c05caf1276d python /ray/doc/examples/doc_code/torch_example.py

real	0m33.954s
user	0m0.026s
sys	0m0.066s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:270ae05aaeb30b22ddf1878503c7bd8f7c1d7798a9ea286719726c05caf1276d python /ray/doc/examples/doc_code/tf_example.py

real	0m15.769s
user	0m0.076s
sys	0m0.022s
+ break
+ [[ ! -z 1 ]]
+ retry bash /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_sgd_tests.sh 8G 4G
+ local n=1
+ local max=3
+ true
+ bash /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_sgd_tests.sh 8G 4G
+ MEMORY_SIZE=8G
+ SHM_SIZE=4G
+ DOCKER_SHA=
+++ dirname /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/run_sgd_tests.sh
++ cd /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
++ pwd
+ ROOT_DIR=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests
+ SUPPRESS_OUTPUT=/home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output
+ '[' 8G == '' ']'
+ '[' 4G == '' ']'
+ '[' '' == '' ']'
+ echo 'Building application docker.'
Building application docker.
+ docker build -q --no-cache -t ray-project/base-deps docker/base-deps
sha256:2b99784f89aa03c89681d8094a7ad1579f8f75147615af404b753929aacb92b8
+ git rev-parse HEAD
++ git rev-parse HEAD
+ git archive -o ./docker/tune_test/ray.tar 36cae1f7291175c728260e7e519cef528901b881
+ '[' 1 == 1 ']'
++ docker build --no-cache -q -t ray-project/tune_test docker/tune_test -f docker/tune_test/build_from_source.Dockerfile
+ DOCKER_SHA=sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a
+ echo 'Using Docker image' sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a
Using Docker image sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python -m pytest /ray/python/ray/util/sgd/tests
This command has been running for more than 5 minutes...

real	9m17.821s
user	0m0.101s
sys	0m0.086s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/raysgd_torch_signatures.py

real	0m11.702s
user	0m0.061s
sys	0m0.040s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/image_models/train.py --no-gpu --mock-data --smoke-test --ray-num-workers=2 --model mobilenetv3_small_075 data

real	0m13.708s
user	0m0.060s
sys	0m0.043s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/train_example.py

real	0m11.241s
user	0m0.063s
sys	0m0.033s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/train_example.py --num-workers=2

real	0m13.972s
user	0m0.038s
sys	0m0.044s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/tune_example.py

real	0m12.293s
user	0m0.048s
sys	0m0.044s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/tune_example.py --num-workers=2

real	0m14.564s
user	0m0.062s
sys	0m0.034s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/cifar_pytorch_example.py --smoke-test

real	1m46.585s
user	0m0.069s
sys	0m0.110s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/cifar_pytorch_example.py --smoke-test --num-workers=2

real	2m15.138s
user	0m0.084s
sys	0m0.119s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/cifar_pytorch_pbt.py --smoke-test

real	1m56.940s
user	0m0.066s
sys	0m0.029s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/dcgan.py --smoke-test --num-workers=2

real	0m19.689s
user	0m0.073s
sys	0m0.027s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/torch/examples/benchmarks/benchmark.py --smoke-test

real	0m16.701s
user	0m0.053s
sys	0m0.027s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/tf/examples/tensorflow_train_example.py

real	0m17.679s
user	0m0.048s
sys	0m0.048s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/tf/examples/tensorflow_train_example.py --num-replicas=2

real	0m24.881s
user	0m0.049s
sys	0m0.044s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/tf/examples/tensorflow_train_example.py --tune

real	0m21.430s
user	0m0.069s
sys	0m0.026s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/tf/examples/cifar_tf_example.py --smoke-test

real	1m51.947s
user	0m0.130s
sys	0m0.097s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/tf/examples/cifar_tf_example.py --num-replicas 2 --smoke-test

real	2m2.485s
user	0m0.122s
sys	0m0.127s
+ /home/jenkins/workspace/Ray-PRB@2/ci/jenkins_tests/../suppress_output docker run --rm --shm-size=4G --memory=8G --memory-swap=-1 sha256:269997689f60983140669caeb17fcfb82c14c49110d3c454c66cb9ff3eec363a python /ray/python/ray/util/sgd/tf/examples/cifar_tf_example.py --num-replicas 2 --smoke-test --augment-data

real	1m54.726s
user	0m0.114s
sys	0m0.134s
+ break
Process leaked file descriptors. See http://wiki.jenkins-ci.org/display/JENKINS/Spawning+processes+from+build for more information
Setting commit status on GitHub for https://github.com/ray-project/ray/commit/36cae1f7291175c728260e7e519cef528901b881
Setting commit status on GitHub for https://github.com/ray-project/ray/commit/36cae1f7291175c728260e7e519cef528901b881
Test PASSed.
Refer to this link for build results (access rights to CI server needed): 
https://amplab.cs.berkeley.edu/jenkins//job/Ray-PRB/29294/
Test PASSed.
Finished: SUCCESS