feature: Add Neo image uri config for Pytorch 1.12 (aws#3507)

Author: HappyAmazonian

src/sagemaker/image_uri_config/neo-pytorch.json

@@ -11,7 +11,9 @@
         "1.7.0": "1.7",
         "1.7.1": "1.7",
         "1.8.0": "1.8",
-        "1.8.1": "1.8"
+        "1.8.1": "1.8",
+        "1.12.0": "1.12",
+        "1.12.1": "1.12"
     },
     "versions": {
         "1.4": {
@@ -173,6 +175,38 @@
                 "us-west-2": "301217895009"
             },
             "repository": "sagemaker-inference-pytorch"
+        },
+        "1.12": {
+            "py_versions": ["py3"],
+            "registries": {
+                "af-south-1": "774647643957",
+                "ap-east-1": "110948597952",
+                "ap-northeast-1": "941853720454",
+                "ap-northeast-2": "151534178276",
+                "ap-northeast-3": "925152966179",
+                "ap-south-1": "763008648453",
+                "ap-southeast-1": "324986816169",
+                "ap-southeast-2": "355873309152",
+                "ca-central-1": "464438896020",
+                "cn-north-1": "472730292857",
+                "cn-northwest-1": "474822919863",
+                "eu-central-1": "746233611703",
+                "eu-north-1": "601324751636",
+                "eu-south-1": "966458181534",
+                "eu-west-1": "802834080501",
+                "eu-west-2": "205493899709",
+                "eu-west-3": "254080097072",
+                "me-south-1": "836785723513",
+                "sa-east-1": "756306329178",
+                "us-east-1": "785573368785",
+                "us-east-2": "007439368137",
+                "us-gov-west-1": "263933020539",
+                "us-iso-east-1": "167761179201",
+                "us-isob-east-1": "406031935815",
+                "us-west-1": "710691900526",
+                "us-west-2": "301217895009"
+            },
+            "repository": "sagemaker-inference-pytorch"
         }
     }
 }

tests/data/pytorch_neo/code/inference.py

@@ -71,8 +71,8 @@ def model_fn(model_dir):
     logger.info("model_fn")
     neopytorch.config(model_dir=model_dir, neo_runtime=True)
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-    # The compiled model is saved as "model.pth"
-    model = torch.jit.load(os.path.join(model_dir, "model.pth"), map_location=device)
+    # The compiled model is saved as "model.pth" or "model.pt"
+    model = torch.jit.load(os.path.join(model_dir, "model.pt"), map_location=device)
 
     # It is recommended to run warm-up inference during model load
     sample_input_path = os.path.join(model_dir, "sample_input.pkl")