Hello
Please after setup all the requirements , I want now to do a setup for training by running this command ./setup_training.sh <ontonotes/path/ontonotes-release-5.0> $data_dir
but i am getting this error
" _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/opt/conda/envs/coref/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/opt/conda/envs/coref/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/opt/conda/envs/coref/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/opt/conda/envs/coref/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
Traceback (most recent call last):
File "minimize.py", line 14, in
import util
File "/home/jupyter/coref/util.py", line 16, in
import independent
File "/home/jupyter/coref/independent.py", line 14, in
import coref_ops
File "/home/jupyter/coref/coref_ops.py", line 8, in
coref_op_library = tf.load_op_library("./coref_kernels.so")
File "/opt/conda/envs/coref/lib/python3.7/site-packages/tensorflow/python/framework/load_library.py", line 61, in load_op_library
lib_handle = py_tf.TF_LoadLibrary(library_filename)
tensorflow.python.framework.errors_impl.NotFoundError: ./coref_kernels.so: undefined symbol: _ZN10tensorflow12OpDefBuilder4AttrESs"
Hello Please after setup all the requirements , I want now to do a setup for training by running this command
import util
File "/home/jupyter/coref/util.py", line 16, in
import independent
File "/home/jupyter/coref/independent.py", line 14, in
import coref_ops
File "/home/jupyter/coref/coref_ops.py", line 8, in
coref_op_library = tf.load_op_library("./coref_kernels.so")
File "/opt/conda/envs/coref/lib/python3.7/site-packages/tensorflow/python/framework/load_library.py", line 61, in load_op_library
lib_handle = py_tf.TF_LoadLibrary(library_filename)
tensorflow.python.framework.errors_impl.NotFoundError: ./coref_kernels.so: undefined symbol: _ZN10tensorflow12OpDefBuilder4AttrESs"
./setup_training.sh <ontonotes/path/ontonotes-release-5.0> $data_dir
but i am getting this error " _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /opt/conda/envs/coref/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /opt/conda/envs/coref/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /opt/conda/envs/coref/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /opt/conda/envs/coref/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) Traceback (most recent call last): File "minimize.py", line 14, inPlease is there a way to fix this issue?