allow text encodings and text mask to be passed in on forward and sampling for Decoder class

dalle2_pytorch/dalle2_pytorch.py

@@ -1980,7 +1980,7 @@ class Decoder(BaseGaussianDiffusion):
             batch_size = image_embed.shape[0]
 
         if exists(text) and not exists(text_encodings) and not self.unconditional:
-            assert exist(self.clip)
+            assert exists(self.clip)
             _, text_encodings, text_mask = self.clip.embed_text(text)
 
         assert not (self.condition_on_text_encodings and not exists(text_encodings)), 'text or text encodings must be passed into decoder if specified'

setup.py

@@ -10,7 +10,7 @@ setup(
       'dream = dalle2_pytorch.cli:dream'
     ],
   },
-  version = '0.2.41',
+  version = '0.2.42',
   license='MIT',
   description = 'DALL-E 2',
   author = 'Phil Wang',