code: def call(self, x):
      x = [tf.nn.relu(conv(x)) for conv in self.conv1s]
      x = [self.pools[i](x[i]) for i in range(len(x))]
      x = tf.concat(x, axis=-1)
      return x
  
file_path: textflint/textflint/input/model/test_model/textcnn_tf_model.py
imports: import tensorflow
  from tensorflow.keras.layers import Embedding, Conv1D, Dense, MaxPooling1D, Dropout
  from tensorflow.keras import Model
  from .glove_embedding import GloveEmbedding
label_desc: Use image node_id 2 for calling the CNNTextLayer obj's underlying member method code with example usage: obj.call(x) and returns: x