restructure config to use Device class directly

Also include device validation

src/qualcomm/aihub_jobs.py

@@ -29,7 +29,7 @@ def _dataset_entries(inputs: dict[str, Any]) -> dict[str, list[Any]]:
 
 def submit_compile_job(
     model: Any,
-    device_name: str,
+    device: Device,
     input_specs: dict[str, tuple[tuple[int, ...], str]],
     target_runtime: str,
     options: str | None = None,
@@ -52,7 +52,7 @@ def submit_compile_job(
 
     job = hub.submit_compile_job(
         model=model_arg,
-        device=Device(device_name),
+        device=device,
         name=job_name,
         input_specs=input_specs,
         options=compile_options,
@@ -65,14 +65,14 @@ def submit_compile_job(
 
 def submit_inference_job(
     model_id: str,
-    device_name: str,
+    device: Device,
     inputs: dict[str, Any],
     output_dir: str | Path,
     job_name: str | None = None,
 ) -> InferenceJobResult:
     job = hub.submit_inference_job(
         model=hub.get_model(model_id),
-        device=Device(device_name),
+        device=device,
         inputs=_dataset_entries(inputs),
         name=job_name,
     )
@@ -84,13 +84,13 @@ def submit_inference_job(
 
 def submit_profile_job(
     model_id: str,
-    device_name: str,
+    device: Device,
     options: str | None = None,
     job_name: str | None = None,
 ) -> ProfileJobResult:
     job = hub.submit_profile_job(
         model=hub.get_model(model_id),
-        device=Device(device_name),
+        device=device,
         name=job_name,
         options=options or "",
     )