neulab / cmu-multinlp Goto Github PK

(spanrel) [jant470@jant470 cmu-multinlp]$ ./run_by_config_bert.sh wlp bert-base-uncased output/test
/run_by_config_bert.sh wlp bert-base-uncased output/test
./run_by_config_bert.sh: line 479: jsonnet: command not found
write config to /tmp/tmp.gGgpiCN8Zz
2020-12-07 14:12:56,220 - INFO - pytorch_pretrained_bert.modeling - Better speed can be achieved with apex installed from https://www.github.com/nvidia/apex .
/home/jant470/.local/lib/python3.8/site-packages/sklearn/utils/linear_assignment_.py:18: FutureWarning: The linear_assignment_ module is deprecated in 0.21 and will be removed from 0.23. Use scipy.optimize.linear_sum_assignment instead.
  warnings.warn(
2020-12-07 14:12:57,229 - INFO - brat_multitask.modules.bert_modeling - Better speed can be achieved with apex installed from https://www.github.com/nvidia/apex .
Traceback (most recent call last):
  File "/home/jant470/.local/bin/allennlp", line 8, in <module>
    sys.exit(run())
  File "/home/jant470/.local/lib/python3.8/site-packages/allennlp/run.py", line 18, in run
    main(prog="allennlp")
  File "/home/jant470/.local/lib/python3.8/site-packages/allennlp/commands/__init__.py", line 102, in main
    args.func(args)
  File "/home/jant470/.local/lib/python3.8/site-packages/allennlp/commands/train.py", line 109, in train_model_from_args
    train_model_from_file(args.param_path,
  File "/home/jant470/.local/lib/python3.8/site-packages/allennlp/commands/train.py", line 154, in train_model_from_file
    params = Params.from_file(parameter_filename, overrides)
  File "/home/jant470/.local/lib/python3.8/site-packages/allennlp/common/params.py", line 462, in from_file
    file_dict = json.loads(evaluate_file(params_file, ext_vars=ext_vars))
RuntimeError: STATIC ERROR: /tmp/tmp.gGgpiCN8Zz:1:1: unexpected end of file.

(spanrel) [jant470@jant470 cmu-multinlp]$ 

allennlp predict model.tar.gz ner-examples.jsonl --include-package brat_multitask --cuda-device 0 --predictor brat --weights-file best.th --output-file out.json

Traceback (most recent call last):
  File "/home/karthik/anaconda3/envs/spanrel/bin/allennlp", line 8, in <module>
    sys.exit(run())
  File "/home/karthik/anaconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/run.py", line 18, in run
    main(prog="allennlp")
  File "/home/karthik/anaconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/commands/__init__.py", line 102, in main
    args.func(args)
  File "/home/karthik/anaconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/commands/predict.py", line 204, in _predict
    manager.run()
  File "/home/karthik/anaconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/commands/predict.py", line 183, in run
    for model_input_json, result in zip(batch_json, self._predict_json(batch_json)):
  File "/home/karthik/anaconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/commands/predict.py", line 129, in _predict_json
    results = [self._predictor.predict_json(batch_data[0])]
  File "/home/karthik/anaconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/predictors/predictor.py", line 57, in predict_json
    instance = self._json_to_instance(inputs)
  File "/home/karthik/anaconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/predictors/predictor.py", line 104, in _json_to_instance
    raise NotImplementedError
NotImplementedError

Traceback (most recent call last):
  File "/home/user/miniconda3/envs/spanrel/bin/allennlp", line 8, in <module>
    sys.exit(run())
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/run.py", line 18, in run
    main(prog="allennlp")
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/commands/__init__.py", line 102, in main
    args.func(args)
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/commands/train.py", line 116, in train_model_from_args
    args.cache_prefix)
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/commands/train.py", line 160, in train_model_from_file
    cache_directory, cache_prefix)
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/commands/train.py", line 218, in train_model
    cache_prefix)
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/training/trainer.py", line 793, in from_params
    model = Model.from_params(vocab=vocab, params=params.pop('model'))
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/common/from_params.py", line 365,
in from_params
    return subclass.from_params(params=params, **extras)
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/common/from_params.py", line 388,
in from_params
    return cls(**kwargs)  # type: ignore
  File "./brat_multitask/models/brat_multitask.py", line 193, in __init__
    bucket_widths=bucket_widths)
  File "/home/user/miniconda3/envs/spanrel/lib/python3.6/site-packages/allennlp/modules/span_extractors/endpoint_span_extractor.py", line 72, in __init__
    raise ConfigurationError("To use a span width embedding representation, you must"
allennlp.common.checks.ConfigurationError: 'To use a span width embedding representation, you mustspecify both num_width_buckets and span_width_embedding_dim.'