fix: take checkpoint_s3_uri and checkpoint_local_path in Framework cl…

…ass (#1080)

src/sagemaker/estimator.py

@@ -1227,6 +1227,8 @@ def __init__(
         dependencies=None,
         enable_network_isolation=False,
         git_config=None,
+        checkpoint_s3_uri=None,
+        checkpoint_local_path=None,
         **kwargs
     ):
         """Base class initializer. Subclasses which override ``__init__`` should
@@ -1363,6 +1365,17 @@ def __init__(
                 authentication if they are provided; otherwise, python SDK will
                 try to use either CodeCommit credential helper or local
                 credential storage for authentication.
+            checkpoint_s3_uri (str): The S3 URI in which to persist checkpoints
+                that the algorithm persists (if any) during training. (default:
+                ``None``).
+            checkpoint_local_path (str): The local path that the algorithm
+                writes its checkpoints to. SageMaker will persist all files
+                under this path to `checkpoint_s3_uri` continually during
+                training. On job startup the reverse happens - data from the
+                s3 location is downloaded to this path before the algorithm is
+                started. If the path is unset then SageMaker assumes the
+                checkpoints will be provided under `/opt/ml/checkpoints/`.
+                (default: ``None``).
             **kwargs: Additional kwargs passed to the ``EstimatorBase``
                 constructor.
         """
@@ -1391,6 +1404,8 @@ def __init__(
         self.uploaded_code = None
 
         self._hyperparameters = hyperparameters or {}
+        self.checkpoint_s3_uri = checkpoint_s3_uri
+        self.checkpoint_local_path = checkpoint_local_path
 
     def enable_network_isolation(self):
         """Return True if this Estimator can use network isolation to run.

tests/integ/test_tf_script_mode.py

@@ -66,6 +66,42 @@ def test_mnist(sagemaker_session, instance_type):
     assert df.size > 0
 
 
+@pytest.mark.skipif(
+    tests.integ.test_region() != "us-east-1",
+    reason="checkpoint s3 bucket is in us-east-1, ListObjectsV2 will fail in other regions",
+)
+def test_checkpoint_config(sagemaker_session, instance_type):
+    checkpoint_s3_uri = "s3://142577830533-us-east-1-sagemaker-checkpoint"
+    checkpoint_local_path = "/test/checkpoint/path"
+    estimator = TensorFlow(
+        entry_point=SCRIPT,
+        role="SageMakerRole",
+        train_instance_count=1,
+        train_instance_type=instance_type,
+        sagemaker_session=sagemaker_session,
+        script_mode=True,
+        framework_version=TensorFlow.LATEST_VERSION,
+        py_version=tests.integ.PYTHON_VERSION,
+        checkpoint_s3_uri=checkpoint_s3_uri,
+        checkpoint_local_path=checkpoint_local_path,
+    )
+    inputs = estimator.sagemaker_session.upload_data(
+        path=os.path.join(MNIST_RESOURCE_PATH, "data"), key_prefix="script/mnist"
+    )
+    training_job_name = unique_name_from_base("test-tf-sm-checkpoint")
+    with tests.integ.timeout.timeout(minutes=tests.integ.TRAINING_DEFAULT_TIMEOUT_MINUTES):
+        estimator.fit(inputs=inputs, job_name=training_job_name)
+
+    expected_training_checkpoint_config = {
+        "S3Uri": checkpoint_s3_uri,
+        "LocalPath": checkpoint_local_path,
+    }
+    actual_training_checkpoint_config = sagemaker_session.sagemaker_client.describe_training_job(
+        TrainingJobName=training_job_name
+    )["CheckpointConfig"]
+    assert actual_training_checkpoint_config == expected_training_checkpoint_config
+
+
 def test_server_side_encryption(sagemaker_session):
     boto_session = sagemaker_session.boto_session
     with kms_utils.bucket_with_encryption(boto_session, ROLE) as (bucket_with_kms, kms_key):

tests/unit/test_estimator.py

@@ -203,6 +203,8 @@ def test_framework_all_init_args(sagemaker_session):
         security_group_ids=["789", "012"],
         metric_definitions=[{"Name": "validation-rmse", "Regex": "validation-rmse=(\\d+)"}],
         encrypt_inter_container_traffic=True,
+        checkpoint_s3_uri="s3://bucket/checkpoint",
+        checkpoint_local_path="file://local/checkpoint",
     )
     _TrainingJob.start_new(f, "s3://mydata")
     sagemaker_session.train.assert_called_once()
@@ -237,6 +239,8 @@ def test_framework_all_init_args(sagemaker_session):
         },
         "metric_definitions": [{"Name": "validation-rmse", "Regex": "validation-rmse=(\\d+)"}],
         "encrypt_inter_container_traffic": True,
+        "checkpoint_s3_uri": "s3://bucket/checkpoint",
+        "checkpoint_local_path": "file://local/checkpoint",
     }