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nikitakit / self-attentive-parser

High-accuracy NLP parser with models for 11 languages.

Home Page:https://parser.kitaev.io/

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Deprecation warnings

colingoldberg opened this issue · comments

commented

Hi,

Not sure what impact these messages have (so far) - I am reporting them FYI:

(On macosx 10.14.5, python 3.6.7, tensorflow 1.14.0)

nlp.add_pipe(BeneparComponent("benepar_en"))
WARNING: Logging before flag parsing goes to stderr.
W0718 09:41:51.815104 4736062912 deprecation_wrapper.py:119] From
/Users/.../anaconda3/lib/python3.6/site-packages/benepar/base_parser.py:199: The name
tf.GraphDef is deprecated. Please use tf.compat.v1.GraphDef instead.

W0718 09:41:53.919924 4736062912 deprecation_wrapper.py:119] From 
/Users/.../anaconda3/lib/python3.6/site-packages/benepar/base_parser.py:202: The name 
tf.Session is deprecated. Please use tf.compat.v1.Session instead.

Regards

Colin Goldberg

commented

Probably these occur because this module was built with TF v1.11 in mind, but you installed a later version. I agree that a better compatibility should be found. Other warnings include numpy warnings:

C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\site-packages\tensorflow\python\framework\dtypes.py:516: 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_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\site-packages\tensorflow\python\framework\dtypes.py:517: 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_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\site-packages\tensorflow\python\framework\dtypes.py:518: 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)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\site-packages\tensorflow\python\framework\dtypes.py:519: 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)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\site-packages\tensorflow\python\framework\dtypes.py:520: 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)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\site-packages\tensorflow\python\framework\dtypes.py:525: 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)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: 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_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: 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_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\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)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\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)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\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)])
C:\Users\bmvroy\.virtualenvs\sent_feats_svm_format-5L73t-Dh\lib\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)])
commented

Thanks for pointing this out!

I'll keep this in mind, and I'll try dealing with this around the time the tf2.0 release candidate comes out. I still need to think about what I want to do in terms of model compatibility, and whether it makes sense to change how the models are packaged (e.g. switching to the SavedModel format).