인프런 커뮤니티 질문&답변

def ELMoEmbedding(x):
    return elmo(tf.squeeze(tf.cast(x, tf.string)), as_dict=True, signature="default")["default"]

from keras.models import Model
from keras.layers import Dense, Lambda, Input

input_text = Input(shape=(1,), dtype=tf.string)
embedding_layer = Lambda(ELMoEmbedding, output_shape=(1024, ))(input_text)
hidden_layer = Dense(256, activation='relu')(embedding_layer)
output_layer = Dense(1, activation='sigmoid')(hidden_layer)
model = Model(inputs=[input_text], outputs=output_layer)
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])

이렇게 코드를 돌렸는데

TypeError                                 Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_40948\3192022207.py in <module>
      3 
      4 input_layer = Input(shape=(1,), dtype=tf.string)
----> 5 embedding_layer = Lambda(ELMoEmbedding, output_shape=(1024,))(input_layer)
      6 hidden_layer = Dense(256, activation='relu')(embedding_layer)
      7 output_layer = Dense(1, activation='softmax')(hidden_layer)

~\anaconda3\lib\site-packages\keras\utils\traceback_utils.py in error_handler(*args, **kwargs)
     68             # To get the full stack trace, call:
     69             # `tf.debugging.disable_traceback_filtering()`
---> 70             raise e.with_traceback(filtered_tb) from None
     71         finally:
     72             del filtered_tb

~\AppData\Local\Temp\ipykernel_40948\1728784153.py in ELMoEmbedding(x)
      1 # 데이터의 이동이 케라스 → 텐서플로우 → 케라스가 되도록 하는 함수
      2 def ELMoEmbedding(x):
----> 3     return elmo(tf.squeeze(tf.cast(x, tf.string)), as_dict=True, signature="default")["default"]
      4 # tf.squeeze : 크기 1인 차원 제거 / tf.cast : 소수점에서 정수형으로 / tf.string: ? 문자열 ? / as_dict : 컬럼명으로 불러오기

TypeError: Exception encountered when calling layer "lambda_9" (type Lambda).

pruned(text) got unexpected keyword arguments: as_dict, signature.

Call arguments received by layer "lambda_9" (type Lambda):
  • inputs=tf.Tensor(shape=(None, 1), dtype=string)
  • mask=None
  • training=None

이렇게 오류가 계속 나네요

어떤 부분이 잘못된걸까요 ..!