Add logging for engine specific parallelism configuration

Author: siddvenk

src/sagemaker/djl_inference/model.py

@@ -649,6 +649,9 @@ def __init__(
             tensor_parallel_degree=tensor_parallel_degree,
             **kwargs,
         )
+        if self.data_parallel_degree is not None:
+            logger.warn("data_parallel_degree is not used by DeepSpeedModels. The data_parallel_degree will be auto"
+                        "computed by DJL based on the tensor_parallel_degree, min_workers, and max_workers")
         self.engine = DJLEngine.DEEPSPEED
         self.max_tokens = max_tokens
         self.low_cpu_mem_usage = low_cpu_mem_usage
@@ -742,6 +745,9 @@ def __init__(
             data_parallel_degree=data_parallel_degree,
             **kwargs,
         )
+        if self.tensor_parallel_degree is not None:
+            logger.warn("tensor_parallel_degree is not used by HuggingFaceAccelerateModels. "
+                        "Please use data_parallel_degree instead")
         self.engine = DJLEngine.HUGGINGFACE_ACCELERATE
         self.device_id = device_id
         self.device_map = device_map