WIP: Add minor aqua features

ads/aqua/config/config.py

@@ -40,6 +40,7 @@ def get_finetuning_config_defaults():
             "VM.GPU.A10.2": {"batch_size": 1, "replica": "1-10"},
             "BM.GPU.A10.4": {"batch_size": 1, "replica": 1},
             "BM.GPU4.8": {"batch_size": 4, "replica": 1},
+            "BM.GPU.L40S-NC.4": {"batch_size": 4, "replica": 1},
             "BM.GPU.A100-v2.8": {"batch_size": 6, "replica": 1},
             "BM.GPU.H100.8": {"batch_size": 6, "replica": 1},
         }

ads/aqua/config/deployment_config_defaults.json

@@ -30,6 +30,7 @@
     "VM.GPU.A10.2",
     "BM.GPU.A10.4",
     "BM.GPU4.8",
+    "BM.GPU.L40S-NC.4",
     "BM.GPU.A100-v2.8",
     "BM.GPU.H100.8",
     "VM.Standard.A1.Flex"

ads/aqua/config/resource_limit_names.json

@@ -2,6 +2,7 @@
   "BM.GPU.A10.4": "ds-gpu-a10-count",
   "BM.GPU.A100-v2.8": "ds-gpu-a100-v2-count",
   "BM.GPU.H100.8": "ds-gpu-h100-count",
+  "BM.GPU.L40S-NC.4": "ds-gpu-l40s-nc-count",
   "BM.GPU4.8": "ds-gpu4-count",
   "VM.GPU.A10.1": "ds-gpu-a10-count",
   "VM.GPU.A10.2": "ds-gpu-a10-count"

ads/aqua/modeldeployment/deployment.py

@@ -46,7 +46,6 @@
 from ads.config import (
     AQUA_CONFIG_FOLDER,
     AQUA_DEPLOYMENT_CONTAINER_METADATA_NAME,
-    AQUA_DEPLOYMENT_CONTAINER_OVERRIDE_FLAG_METADATA_NAME,
     AQUA_MODEL_DEPLOYMENT_CONFIG,
     AQUA_MODEL_DEPLOYMENT_CONFIG_DEFAULTS,
     COMPARTMENT_OCID,
@@ -87,26 +86,27 @@ class AquaDeploymentApp(AquaApp):
 
     @telemetry(entry_point="plugin=deployment&action=create", name="aqua")
     def create(
-            self,
-            model_id: str,
-            instance_shape: str,
-            display_name: str,
-            instance_count: int = None,
-            log_group_id: str = None,
-            access_log_id: str = None,
-            predict_log_id: str = None,
-            compartment_id: str = None,
-            project_id: str = None,
-            description: str = None,
-            bandwidth_mbps: int = None,
-            web_concurrency: int = None,
-            server_port: int = None,
-            health_check_port: int = None,
-            env_var: Dict = None,
-            container_family: str = None,
-            memory_in_gbs: Optional[float] = None,
-            ocpus: Optional[float] = None,
-            model_file: Optional[str] = None,
+        self,
+        model_id: str,
+        instance_shape: str,
+        display_name: str,
+        instance_count: int = None,
+        log_group_id: str = None,
+        access_log_id: str = None,
+        predict_log_id: str = None,
+        compartment_id: str = None,
+        project_id: str = None,
+        description: str = None,
+        bandwidth_mbps: int = None,
+        web_concurrency: int = None,
+        server_port: int = None,
+        health_check_port: int = None,
+        env_var: Dict = None,
+        container_family: str = None,
+        memory_in_gbs: Optional[float] = None,
+        ocpus: Optional[float] = None,
+        model_file: Optional[str] = None,
+        cmd_var: List[str] = None,
     ) -> "AquaDeployment":
         """
         Creates a new Aqua deployment
@@ -153,6 +153,8 @@ def create(
             The ocpu count for the shape selected.
         model_file: str
             The file used for model deployment.
+        cmd_var: List[str]
+            The cmd of model deployment container runtime.
         Returns
         -------
         AquaDeployment
@@ -231,8 +233,7 @@ def create(
             env_var.update({"FT_MODEL": f"{fine_tune_output_path}"})
 
         container_type_key = self._get_container_type_key(
-            model=aqua_model,
-            container_family=container_family
+            model=aqua_model, container_family=container_family
         )
 
         # fetch image name from config
@@ -248,7 +249,11 @@ def create(
         model_format = model_formats_str.split(",")
 
         # Figure out a better way to handle this in future release
-        if ModelFormat.GGUF.value in model_format and container_type_key.lower() == InferenceContainerTypeFamily.AQUA_LLAMA_CPP_CONTAINER_FAMILY:
+        if (
+            ModelFormat.GGUF.value in model_format
+            and container_type_key.lower()
+            == InferenceContainerTypeFamily.AQUA_LLAMA_CPP_CONTAINER_FAMILY
+        ):
             if model_file is not None:
                 logger.info(
                     f"Overriding {model_file} as model_file for model {aqua_model.id}."
@@ -299,8 +304,8 @@ def create(
         if user_params:
             # todo: remove this check in the future version, logic to be moved to container_index
             if (
-                    container_type_key.lower()
-                    == InferenceContainerTypeFamily.AQUA_LLAMA_CPP_CONTAINER_FAMILY
+                container_type_key.lower()
+                == InferenceContainerTypeFamily.AQUA_LLAMA_CPP_CONTAINER_FAMILY
             ):
                 # AQUA_LLAMA_CPP_CONTAINER_FAMILY container uses uvicorn that required model/server params
                 # to be set as env vars
@@ -369,6 +374,8 @@ def create(
             .with_overwrite_existing_artifact(True)
             .with_remove_existing_artifact(True)
         )
+        if cmd_var:
+            container_runtime.with_cmd(cmd_var)
 
         # configure model deployment and deploy model on container runtime
         deployment = (
@@ -422,9 +429,8 @@ def _get_container_type_key(model: DataScienceModel, container_family: str) -> s
                     f"for model {model.id}. For unverified Aqua models, {AQUA_DEPLOYMENT_CONTAINER_METADATA_NAME} should be"
                     f"set and value can be one of {', '.join(InferenceContainerTypeFamily.values())}."
                 ) from err
-            
+
         return container_type_key
-
 
     @telemetry(entry_point="plugin=deployment&action=list", name="aqua")
     def list(self, **kwargs) -> List["AquaDeployment"]:
@@ -453,8 +459,8 @@ def list(self, **kwargs) -> List["AquaDeployment"]:
         for model_deployment in model_deployments:
             oci_aqua = (
                 (
-                        Tags.AQUA_TAG in model_deployment.freeform_tags
-                        or Tags.AQUA_TAG.lower() in model_deployment.freeform_tags
+                    Tags.AQUA_TAG in model_deployment.freeform_tags
+                    or Tags.AQUA_TAG.lower() in model_deployment.freeform_tags
                 )
                 if model_deployment.freeform_tags
                 else False
@@ -508,8 +514,8 @@ def get(self, model_deployment_id: str, **kwargs) -> "AquaDeploymentDetail":
 
         oci_aqua = (
             (
-                    Tags.AQUA_TAG in model_deployment.freeform_tags
-                    or Tags.AQUA_TAG.lower() in model_deployment.freeform_tags
+                Tags.AQUA_TAG in model_deployment.freeform_tags
+                or Tags.AQUA_TAG.lower() in model_deployment.freeform_tags
             )
             if model_deployment.freeform_tags
             else False
@@ -526,8 +532,8 @@ def get(self, model_deployment_id: str, **kwargs) -> "AquaDeploymentDetail":
         log_group_name = ""
 
         logs = (
-                model_deployment.category_log_details.access
-                or model_deployment.category_log_details.predict
+            model_deployment.category_log_details.access
+            or model_deployment.category_log_details.predict
         )
         if logs:
             log_id = logs.log_id
@@ -582,9 +588,9 @@ def get_deployment_config(self, model_id: str) -> Dict:
         return config
 
     def get_deployment_default_params(
-            self,
-            model_id: str,
-            instance_shape: str,
+        self,
+        model_id: str,
+        instance_shape: str,
     ) -> List[str]:
         """Gets the default params set in the deployment configs for the given model and instance shape.
 
@@ -616,8 +622,8 @@ def get_deployment_default_params(
             )
 
         if (
-                container_type_key
-                and container_type_key in InferenceContainerTypeFamily.values()
+            container_type_key
+            and container_type_key in InferenceContainerTypeFamily.values()
         ):
             deployment_config = self.get_deployment_config(model_id)
             config_params = (
@@ -640,10 +646,10 @@ def get_deployment_default_params(
         return default_params
 
     def validate_deployment_params(
-            self,
-            model_id: str,
-            params: List[str] = None,
-            container_family: str = None,
+        self,
+        model_id: str,
+        params: List[str] = None,
+        container_family: str = None,
     ) -> Dict:
         """Validate if the deployment parameters passed by the user can be overridden. Parameter values are not
         validated, only param keys are validated.
@@ -666,8 +672,7 @@ def validate_deployment_params(
         if params:
             model = DataScienceModel.from_id(model_id)
             container_type_key = self._get_container_type_key(
-                model=model,
-                container_family=container_family
+                model=model, container_family=container_family
             )
 
             container_config = get_container_config()
@@ -689,9 +694,9 @@ def validate_deployment_params(
 
     @staticmethod
     def _find_restricted_params(
-            default_params: Union[str, List[str]],
-            user_params: Union[str, List[str]],
-            container_family: str,
+        default_params: Union[str, List[str]],
+        user_params: Union[str, List[str]],
+        container_family: str,
     ) -> List[str]:
         """Returns a list of restricted params that user chooses to override when creating an Aqua deployment.
         The default parameters coming from the container index json file cannot be overridden.

docs/source/release_notes.rst

@@ -2,6 +2,12 @@
 Release Notes
 =============
 
+2.12.2
+-------
+Release date: October 16, 2024
+
+* Introduced enhancements for AI Quick Actions.
+
 2.12.1
 -------
 Release date: October 10, 2024

pyproject.toml

@@ -21,7 +21,7 @@ build-backend = "flit_core.buildapi"
 
 # Required
 name = "oracle_ads" # the install (PyPI) name; name for local build in [tool.flit.module] section below
-version = "2.12.1"
+version = "2.12.2"
 
 # Optional
 description = "Oracle Accelerated Data Science SDK"