Update jumpstart and pytorch template for release

hyperpod-jumpstart-inference-template/hyperpod_jumpstart_inference_template/v1_0/model.py

@@ -17,7 +17,8 @@
 from sagemaker.hyperpod.inference.config.hp_jumpstart_endpoint_config import (
     Model,
     SageMakerEndpoint,
-    Server
+    Server,
+    TlsConfig
 )
 from sagemaker.hyperpod.inference.hp_jumpstart_endpoint import HPJumpStartEndpoint
 
@@ -86,8 +87,12 @@ def to_domain(self) -> HPJumpStartEndpoint:
             instance_type=self.instance_type,
         )
         sage_ep = SageMakerEndpoint(name=self.endpoint_name)
+        tls = (
+            TlsConfig(tls_certificate_output_s3_uri=self.tls_certificate_output_s3_uri)
+        )
         return HPJumpStartEndpoint(
             model=model,
             server=server,
             sage_maker_endpoint=sage_ep,
+            tls_config=tls
         )

hyperpod-jumpstart-inference-template/hyperpod_jumpstart_inference_template/v1_0/schema.json

@@ -78,7 +78,7 @@
         }
       ],
       "default": null,
-      "description": "S3 URI to write the TLS certificate (optional)",
+      "description": "S3 URI to write the TLS certificate",
       "title": "Tls Certificate Output S3 Uri"
     }
   },

hyperpod-pytorch-job-template/hyperpod_pytorch_job_template/v1_0/model.py

@@ -16,7 +16,6 @@
 
 class VolumeConfig(BaseModel):
     model_config = ConfigDict(extra="forbid")
-
     name: str = Field(
         ..., 
         description="Volume name",
@@ -38,7 +37,7 @@ class VolumeConfig(BaseModel):
         description="PVC claim name (required for pvc volumes)",
         min_length=1
     )
-    read_only: Optional[bool] = Field(None, description="Read-only flag for pvc volumes")
+    read_only: Optional[Literal['true', 'false']] = Field(None, description="Read-only flag for pvc volumes")
 
     @field_validator('mount_path', 'path')
     @classmethod
@@ -108,10 +107,11 @@ class PyTorchJobConfig(BaseModel):
         description="Number of nodes",
         ge=1
     )
-    tasks_per_node: Optional[str] = Field(
-        default="auto", 
+    tasks_per_node: Optional[int] = Field(
+        default=None, 
         alias="tasks_per_node", 
-        description="Number of workers per node; supported values: [auto,cpu, gpu, int]",
+        description="Number of tasks per node",
+        ge=1
     )
     label_selector: Optional[Dict[str, str]] = Field(
         default=None,
@@ -282,7 +282,7 @@ def to_domain(self) -> Dict:
                 elif vol.type == "pvc":
                     pvc_config = PersistentVolumeClaim(
                          claim_name=vol.claim_name,
-                         read_only=vol.read_only if vol.read_only is not None else False
+                         read_only=vol.read_only == "true" if vol.read_only else False
                     )
                     volume_obj = Volumes(name=vol.name, persistent_volume_claim=pvc_config)
                 volumes.append(volume_obj)
@@ -357,4 +357,4 @@ def to_domain(self) -> Dict:
             "labels": metadata_labels,
             "spec": job_kwargs,
         }
-        return result
+        return result

hyperpod-pytorch-job-template/hyperpod_pytorch_job_template/v1_0/schema.json

@@ -54,7 +54,11 @@
         "read_only": {
           "anyOf": [
             {
-              "type": "boolean"
+              "enum": [
+                "true",
+                "false"
+              ],
+              "type": "string"
             },
             {
               "type": "null"
@@ -197,14 +201,15 @@
     "tasks_per_node": {
       "anyOf": [
         {
-          "type": "string"
+          "minimum": 1,
+          "type": "integer"
         },
         {
           "type": "null"
         }
       ],
-      "default": "auto",
-      "description": "Number of workers per node; supported values: [auto,cpu, gpu, int]",
+      "default": null,
+      "description": "Number of tasks per node",
       "title": "Tasks Per Node"
     },
     "label_selector": {

hyperpod-pytorch-job-template/hyperpod_pytorch_job_template/v1_1/model.py

@@ -110,7 +110,7 @@ class PyTorchJobConfig(BaseModel):
         min_length=1
     )
     node_count: Optional[int] = Field(
-        default=None,
+        default=1,
         alias="node_count", 
         description="Number of nodes",
         ge=1

hyperpod-pytorch-job-template/hyperpod_pytorch_job_template/v1_1/schema.json

@@ -202,7 +202,7 @@
           "type": "null"
         }
       ],
-      "default": null,
+      "default": 1,
       "description": "Number of nodes",
       "title": "Node Count"
     },