From /Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/ops/array_ops.py:1475: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in _do_call(self, fn, *args)
1364 try:
-> 1365 return fn(*args)
1366 except errors.OpError as e:
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata)
1349 return self._call_tf_sessionrun(options, feed_dict, fetch_list,
-> 1350 target_list, run_metadata)
1351
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata)
1442 fetch_list, target_list,
-> 1443 run_metadata)
1444
InvalidArgumentError: TypeError: unsupported operand type(s) for -: 'str' and 'int'
Traceback (most recent call last):
File "<ipython-input-9-e82631258094>", line 6, in gen
yield build_feed_dict(container.get())
File "<ipython-input-8-ea0e83af88b7>", line 8, in build_feed_dict
bert_tokenizer, log, False, False))
File "/Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/bert_serving/server/bert/extract_features.py", line 73, in convert_lst_to_features
if len(tokens_a) > max_seq_length - 2 and not no_special_token:
TypeError: unsupported operand type(s) for -: 'str' and 'int'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/data/ops/dataset_ops.py", line 594, in generator_py_func
values = next(generator_state.get_iterator(iterator_id))
File "<ipython-input-9-e82631258094>", line 8, in gen
yield build_feed_dict(container.get())
File "<ipython-input-8-ea0e83af88b7>", line 8, in build_feed_dict
bert_tokenizer, log, False, False))
File "/Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/bert_serving/server/bert/extract_features.py", line 73, in convert_lst_to_features
if len(tokens_a) > max_seq_length - 2 and not no_special_token:
TypeError: unsupported operand type(s) for -: 'str' and 'int'
[[{{node PyFunc}}]]
[[IteratorGetNext]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
<ipython-input-13-00af28c4146c> in <module>
----> 1 bert_vectorizer(64*['sample text']).shape
<ipython-input-11-a8e83bcb5ca1> in vectorize(text, verbose)
13 for text_batch in batch(text, batch_size):
14 container.set(text_batch)
---> 15 x.append(next(predict_fn)['output'])
16 if verbose:
17 bar.add(len(text_batch))
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py in predict(self, input_fn, predict_keys, hooks, checkpoint_path, yield_single_examples)
638 hooks=all_hooks) as mon_sess:
639 while not mon_sess.should_stop():
--> 640 preds_evaluated = mon_sess.run(predictions)
641 if not yield_single_examples:
642 yield preds_evaluated
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py in run(self, fetches, feed_dict, options, run_metadata)
752 feed_dict=feed_dict,
753 options=options,
--> 754 run_metadata=run_metadata)
755
756 def run_step_fn(self, step_fn):
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py in run(self, fetches, feed_dict, options, run_metadata)
1257 feed_dict=feed_dict,
1258 options=options,
-> 1259 run_metadata=run_metadata)
1260 except _PREEMPTION_ERRORS as e:
1261 logging.info(
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py in run(self, *args, **kwargs)
1358 raise six.reraise(*original_exc_info)
1359 else:
-> 1360 raise six.reraise(*original_exc_info)
1361
1362
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/six.py in reraise(tp, value, tb)
701 if value.__traceback__ is not tb:
702 raise value.with_traceback(tb)
--> 703 raise value
704 finally:
705 value = None
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py in run(self, *args, **kwargs)
1343 def run(self, *args, **kwargs):
1344 try:
-> 1345 return self._sess.run(*args, **kwargs)
1346 except _PREEMPTION_ERRORS:
1347 raise
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py in run(self, fetches, feed_dict, options, run_metadata)
1416 feed_dict=feed_dict,
1417 options=options,
-> 1418 run_metadata=run_metadata)
1419
1420 for hook in self._hooks:
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py in run(self, *args, **kwargs)
1174
1175 def run(self, *args, **kwargs):
-> 1176 return self._sess.run(*args, **kwargs)
1177
1178 def run_step_fn(self, step_fn, raw_session, run_with_hooks):
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
954 try:
955 result = self._run(None, fetches, feed_dict, options_ptr,
--> 956 run_metadata_ptr)
957 if run_metadata:
958 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1178 if final_fetches or final_targets or (handle and feed_dict_tensor):
1179 results = self._do_run(handle, final_targets, final_fetches,
-> 1180 feed_dict_tensor, options, run_metadata)
1181 else:
1182 results = []
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1357 if handle is None:
1358 return self._do_call(_run_fn, feeds, fetches, targets, options,
-> 1359 run_metadata)
1360 else:
1361 return self._do_call(_prun_fn, handle, feeds, fetches)
~/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in _do_call(self, fn, *args)
1382 '\nsession_config.graph_options.rewrite_options.'
1383 'disable_meta_optimizer = True')
-> 1384 raise type(e)(node_def, op, message)
1385
1386 def _extend_graph(self):
InvalidArgumentError: TypeError: unsupported operand type(s) for -: 'str' and 'int'
Traceback (most recent call last):
File "<ipython-input-9-e82631258094>", line 6, in gen
yield build_feed_dict(container.get())
File "<ipython-input-8-ea0e83af88b7>", line 8, in build_feed_dict
bert_tokenizer, log, False, False))
File "/Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/bert_serving/server/bert/extract_features.py", line 73, in convert_lst_to_features
if len(tokens_a) > max_seq_length - 2 and not no_special_token:
TypeError: unsupported operand type(s) for -: 'str' and 'int'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/tensorflow_core/python/data/ops/dataset_ops.py", line 594, in generator_py_func
values = next(generator_state.get_iterator(iterator_id))
File "<ipython-input-9-e82631258094>", line 8, in gen
yield build_feed_dict(container.get())
File "<ipython-input-8-ea0e83af88b7>", line 8, in build_feed_dict
bert_tokenizer, log, False, False))
File "/Users/mrubash1/.pyenv/versions/miniconda3-4.7.12/envs/cord19/lib/python3.6/site-packages/bert_serving/server/bert/extract_features.py", line 73, in convert_lst_to_features
if len(tokens_a) > max_seq_length - 2 and not no_special_token:
TypeError: unsupported operand type(s) for -: 'str' and 'int'
[[{{node PyFunc}}]]
[[IteratorGetNext]]
command
output