bring in rotary embeddings for diffusion prior causal transformer (the most powerful relative positional encoding, used in PaLM) - 0.1.0 because of breaking change

setup.py

@@ -10,7 +10,7 @@ setup(
       'dream = dalle2_pytorch.cli:dream'
     ],
   },
-  version = '0.1.1',
+  version = '0.1.0',
   license='MIT',
   description = 'DALL-E 2',
   author = 'Phil Wang',
@@ -31,7 +31,6 @@ setup(
     'kornia>=0.5.4',
     'pillow',
     'resize-right>=0.0.2',
-    'rotary-embedding-torch',
     'torch>=1.10',
     'torchvision',
     'tqdm',