hack around some inplace error, also make sure for openai clip text encoding, only tokens after eos_id is masked out

dalle2_pytorch/dalle2_pytorch.py

@@ -278,6 +278,7 @@ class OpenAIClipAdapter(BaseClipAdapter):
         import clip
         openai_clip, preprocess = clip.load(name)
         super().__init__(openai_clip)
+        self.eos_id = 49407 # for handling 0 being also '!'
 
         text_attention_final = self.find_layer('ln_final')
         self.handle = text_attention_final.register_forward_hook(self._hook)
@@ -316,7 +317,10 @@ class OpenAIClipAdapter(BaseClipAdapter):
     @torch.no_grad()
     def embed_text(self, text):
         text = text[..., :self.max_text_len]
-        text_mask = text != 0
+
+        is_eos_id = (text == self.eos_id)
+        text_mask_excluding_eos = is_eos_id.cumsum(dim = -1) == 0
+        text_mask = F.pad(text_mask_excluding_eos, (1, -1), value = True)
         assert not self.cleared
 
         text_embed = self.clip.encode_text(text)
@@ -900,7 +904,7 @@ class DiffusionPriorNetwork(nn.Module):
         null_text_embeds = self.null_text_embed.to(text_encodings.dtype)
 
         text_encodings = torch.where(
-            rearrange(mask, 'b n -> b n 1'),
+            rearrange(mask, 'b n -> b n 1').clone(),
             text_encodings,
             null_text_embeds
         )

dalle2_pytorch/version.py

@@ -1 +1 @@
-__version__ = '0.23.7'
+__version__ = '0.23.8'