luheng / lsgn Goto Github PK

File "decoder.py", line 14, in
from srl_model import SRLModel
File "/Users/Desktop/lsgn-master/srl_model.py", line 15, in
from model_utils import *
File "/Users/Desktop/lsgn-master/model_utils.py", line 5, in
import srl_ops
File "/Users/Desktop/lsgn-master/srl_ops.py", line 4, in
srl_op_library = tf.load_op_library("./srl_kernels.so")
File "/Users/opt/anaconda3/lib/python3.7/site-packages/tensorflow_core/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: dlopen(./srl_kernels.so, 6): image not found

Stuck here. Would be great if someone could help!

I am using the version for python3 (with tenserflow==1.14.0). I am trying to test the pre-trained model on the sample file, and being on the last stage with decoder.py I got this error:

Traceback (most recent call last):
File "decoder.py", line 38, in
model = SRLModel(data, config)
File "/Users/nikahelicopter/Desktop/GERMANY/DR.SOLOPOVA/lsgn-python3/srl_model.py", line 24, in init
self.data.input_dict, self.data.labels_dict)
File "/Users/nikahelicopter/Desktop/GERMANY/DR.SOLOPOVA/lsgn-python3/srl_model.py", line 108, in get_predictions_and_loss
max_sentence_length, sort_spans=False, enforce_non_crossing=False)
File "/Users/nikahelicopter/Desktop/GERMANY/DR.SOLOPOVA/lsgn-python3/model_utils.py", line 212, in get_batch_topk
sort_spans, enforce_non_crossing) # [num_sentences, max_num_predictions]
File "", line 89, in extract_spans
File "/Users/nikahelicopter/Library/Python/3.6/lib/python/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/Users/nikahelicopter/Library/Python/3.6/lib/python/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/Users/nikahelicopter/Library/Python/3.6/lib/python/site-packages/tensorflow/python/framework/ops.py", line 3616, in create_op
op_def=op_def)
File "/Users/nikahelicopter/Library/Python/3.6/lib/python/site-packages/tensorflow/python/framework/ops.py", line 1952, in init
raise ValueError("'%s' is not a valid node name" % node_def.name)
ValueError: '' is not a valid node name

Can it have something to do with this comment? # TODO: Make labels_dict = None at test time.
I have to change something as I use it in test mode?

I also wonder why in build_custom_kernels.sh for mac we use coref_kernels.so and with windows we build srl_kernels.so?

I really am looking forward to your answer, as my troubleshooting does not help much for now:(
Thank you in advance!

Veronika

It seem that cat can't handle the large number of *.gold_conll in the train portion. The script print this warning and continue:
./scripts/make_conll2012_data.sh: line 19: /bin/ls: Argument list too long

However, changing:

to:

for file in ${ONTONOTES_PATH}/data/train/data/english/annotations/*/*/*/*.gold_conll
do
  cat "$file" >> ${SRL_PATH}/train.english.v5_gold_conll
done

solve the problem

Traceback (most recent call last):
File "decoder.py", line 12, in
from lsgn_data import LSGNData
File "/hltc/0/cl/tools/srl_parsers/l_he_etal_2018/lsgn/lsgn_data.py", line 2, in
import tensorflow_hub as hub
File "/homes/skumyol/venv2.7/lib/python2.7/site-packages/tensorflow_hub/init.py", line 29, in
from tensorflow_hub.estimator import LatestModuleExporter
File "/homes/skumyol/venv2.7/lib/python2.7/site-packages/tensorflow_hub/estimator.py", line 25, in
from tensorflow_hub import tf_utils
File "/homes/skumyol/venv2.7/lib/python2.7/site-packages/tensorflow_hub/tf_utils.py", line 33, in
from tensorflow.python.feature_column import feature_column_v2
ImportError: cannot import name feature_column_v2

Pyhon 2.7 with tf 1.8 is giving such error.

Thanks for your admiring work!
But the following files are not provided, could you provide these files?
elmo/english.lm_embeddings.skip.hdf5
elmo/ontonotes5.test.english.lm_embeddings.skip.hdf5
elmo/ontonotes5.train.english.lm_embeddings.skip.hdf5
elmo/ontonotes5.dev.english.lm_embeddings.skip.hdf5
elmo/conll05.train.elmo_embeddings.hdf5
elmo/conll05.dev.elmo_embeddings.hdf5
elmo/conll05.test_wsj.elmo_embeddings.hdf5
elmo/conll05.test_brown.elmo_embeddings.hdf5

I cannot find it using a simple google search

Hi, the address of srlconll dataset is not accessible for me, http://www.lsi.upc.edu/~srlconll/srlconll-1.1.tgz
can anybody tell me how to download the dataset? thank you.

I tried hundreds times of training the model with singleton.py, the processing always suspend at:
tf_loss, tf_global_step, _ = session.run([model.loss, model.global_step, model.train_op])

you see from the snapshot that the codes is ok to run but, is suspended at there.

After several debug, I will say the problem is located on the:
enqueue_thread = threading.Thread(target=_enqueue_loop)
since the process never get into the '_enqueue_loop()'.

Other word, the 'FIFOQueue' with 'thread' failed to schedule.

Help with this plz.