[azure-ai-ml] Fix hdfs mode handling: revert dict binding str() conversion, fix mixin .value call

Author: GnanasundaramSampath

sdk/ml/azure-ai-ml/azure/ai/ml/entities/_job/_input_output_helpers.py

@@ -282,8 +282,7 @@ def to_rest_dataset_literal_inputs(
                     input_data = LiteralJobInput(value=str(input_value["value"]))
                     # set mode attribute manually for binding job input
                     if "mode" in input_value:
-                        input_mode = str(input_value["mode"])
-                        input_data.mode = INPUT_MOUNT_MAPPING_TO_REST.get(input_mode.lower(), input_mode)
+                        input_data.mode = input_value["mode"]
                 else:
                     input_data = LiteralJobInput(value=str(input_value))
                 input_data.job_input_type = JobInputType.LITERAL

sdk/ml/azure-ai-ml/azure/ai/ml/entities/_job/pipeline/_io/mixin.py

@@ -233,7 +233,8 @@ def _input_entity_to_rest_inputs(cls, input_entity: Dict[str, Input]) -> Dict[st
         for name, val in rest_inputs.items():
             rest_dataset_literal_inputs[name] = val.as_dict()
             if hasattr(val, "mode") and val.mode:
-                rest_dataset_literal_inputs[name].update({"mode": val.mode.value})
+                mode_val = val.mode.value if hasattr(val.mode, "value") else val.mode
+                rest_dataset_literal_inputs[name].update({"mode": mode_val})
         return rest_dataset_literal_inputs
 
     def _to_rest_outputs(self) -> Dict[str, Dict]: