Prep pytorch example (#282)

Author: bolasim

examples/image_segmentation/README.md

@@ -0,0 +1,16 @@
+# Image Segmentation pytorch example.
+
+This is an example of a pytorch model
+
+## Deploy to Baseten
+To deploy the model, run the following from the root of the directory
+
+```
+import baseten, truss. os
+
+sd = truss.load("./examples/stable-diffusion-2-1")
+
+baseten.login(os.environ["BASETEN_API_KEY"])
+
+baseten.deploy(sd, model_name"My Pytorch Model", publish=True)
+```

examples/image_segmentation/model/model.py

@@ -28,12 +28,6 @@ def load(self):
         self._model = models.segmentation.deeplabv3_resnet101(pretrained=1).eval()
         self._device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
-    def preprocess(self, request: Dict) -> Dict:
-        return request
-
-    def postprocess(self, request: Dict) -> Dict:
-        return request
-
     def predict(self, request: Dict) -> Dict[str, List]:
         return [self._predict_single(instance) for instance in request["instances"]]