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I'm interested in dual ask-answer model too much.
I weired error in below
File "/Users/sunu/IdeaProjects/QAZeroToAll/daanet/daanet/basic.py", line 169, in _embed
trainable=True)
File "/Users/sunu/IdeaProjects/QAZeroToAll/daanet/nlp/nn.py", line 91, in get_var
regularizer=regularizer_fn, **kwargs)
...
ValueError: You can only pass an initializer function that expects no arguments to its callable when the shape is not fully defined. The given initializer function expects the following args ['shape', 'dtype', 'partition_info']
I wondered why
daanet / basic.py
only use the get_var () method in self.char_emb
The text was updated successfully, but these errors were encountered:
I'm interested in dual ask-answer model too much.
I weired error in below
File "/Users/sunu/IdeaProjects/QAZeroToAll/daanet/daanet/basic.py", line 169, in _embed
trainable=True)
File "/Users/sunu/IdeaProjects/QAZeroToAll/daanet/nlp/nn.py", line 91, in get_var
regularizer=regularizer_fn, **kwargs)
...
ValueError: You can only pass an initializer function that expects no arguments to its callable when the shape is not fully defined. The given initializer function expects the following args ['shape', 'dtype', 'partition_info']
I wondered why
daanet / basic.py
only use the get_var () method in self.char_emb
The text was updated successfully, but these errors were encountered: