model testing script & fix imports

textattack/models/helpers/glove_embedding_layer.py

@@ -5,6 +5,8 @@ import torch.nn as nn
 
 import textattack.utils as utils
 
+logger = utils.get_logger()
+
 class EmbeddingLayer(nn.Module):
     """
         A layer of a model that replaces word IDs with their embeddings. 
@@ -24,7 +26,7 @@ class EmbeddingLayer(nn.Module):
                 assert word not in word2id, "Duplicate words in pre-trained embeddings"
                 word2id[word] = len(word2id)
 
-            print(f'{len(word2id)} pre-trained word embeddings loaded.\n')
+            logger.debug(f'{len(word2id)} pre-trained word embeddings loaded.\n')
             
             n_d = len(embvecs[0])