Execution Time17.54s

Test: test_lung_segmentation_dcnn (Failed)
Build: CIP-Linux-3.10.0-123.el7.x86_64-x86_64-incr-SL-ON (ip-172-31-44-204.ec2.internal) on 2018-09-29 00:07:33
Repository revision: 243ab56b680230e09871df6f7cd7f312d5a09484

Exit Value1

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Test output
/home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/h5py/__init__.py:36: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._conv import register_converters as _register_converters
/home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/h5py/__init__.py:45: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from . import h5a, h5d, h5ds, h5f, h5fd, h5g, h5r, h5s, h5t, h5p, h5z
/home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/h5py/_hl/group.py:22: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from .. import h5g, h5i, h5o, h5r, h5t, h5l, h5p
Using TensorFlow backend.
2018-09-29 00:19:28.061722: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-09-29 00:19:28.064975: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-09-29 00:19:28.064996: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-09-29 00:19:28.065007: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-09-29 00:19:28.065017: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.