From ad87c09cb6759b69d41d96ba29527a3fdd31789e Mon Sep 17 00:00:00 2001
From: aviruthen <91846056+aviruthen@users.noreply.github.com>
Date: Thu, 26 Mar 2026 11:34:14 -0400
Subject: [PATCH] fix: Pipeline TypeError: can only concatenate list (not
 "NoneType") to list Using Sou (#5518)

---
 .../src/sagemaker/core/training/configs.py    | 21 -------------------
 1 file changed, 21 deletions(-)

diff --git a/sagemaker-core/src/sagemaker/core/training/configs.py b/sagemaker-core/src/sagemaker/core/training/configs.py
index a308ed40ee..4ead3a2ae6 100644
--- a/sagemaker-core/src/sagemaker/core/training/configs.py
+++ b/sagemaker-core/src/sagemaker/core/training/configs.py
@@ -124,28 +124,7 @@ class SourceCode(BaseConfig):
         ".ipynb_checkpoints",
     ]
 
-class OutputDataConfig(shapes.OutputDataConfig):
-    """OutputDataConfig.
-
-    Provides the configuration for the output data location of the training job 
-    (will not be carried over to any model repository or deployment).
-
-    Parameters:
-        s3_output_path (Optional[StrPipeVar]):
-            The S3 URI where the output data will be stored. This is the location where the
-            training job will save its output data, such as model artifacts and logs.
-        kms_key_id (Optional[StrPipeVar]):
-            The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that
-            SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side
-            encryption.
-        compression_type (Optional[StrPipeVar]):
-            The model output compression type. Select None to output an uncompressed model,
-            recommended for large model outputs. Defaults to gzip.
-    """
 
-    s3_output_path: Optional[StrPipeVar] = None
-    kms_key_id: Optional[StrPipeVar] = None
-    compression_type: Optional[StrPipeVar] = None
 
 
 class Compute(shapes.ResourceConfig):