mldl@ub1604:/ub16_prj/dac/dac$ python dac.py
/usr/local/lib/python2.7/dist-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float
to np.floating
is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type
.
from ._conv import register_converters as _register_converters
Using TensorFlow backend.
2018-08-26 11:58:55.645223: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-08-26 11:58:55.697519: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-08-26 11:58:55.697823: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties:
name: GeForce GTX 950M major: 5 minor: 0 memoryClockRate(GHz): 1.124
pciBusID: 0000:01:00.0
totalMemory: 3.95GiB freeMemory: 3.55GiB
2018-08-26 11:58:55.697857: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 950M, pci bus id: 0000:01:00.0, compute capability: 5.0)
2018-08-26 11:58:55.818855: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 950M, pci bus id: 0000:01:00.0, compute capability: 5.0)
Traceback (most recent call last):
File "dac.py", line 1908, in
pprint(linker.link(vars(args)['url'], vars(args)['ne']))
File "dac.py", line 99, in link
self.context = Context(url, ne)
File "dac.py", line 295, in init
self.get_entities()
File "dac.py", line 335, in get_entities
TPTA_URL))
IOError: Error retrieving entities from: http://ner.kbresearch.nl/?
mldl@ub1604:/ub16_prj/dac/dac$