fix: allow Airflow enabled estimators to use absolute path entry_point

Author: icywang86rui

src/sagemaker/workflow/airflow.py

@@ -45,7 +45,12 @@ def prepare_framework(estimator, s3_operations):
         code_dir = "s3://{}/{}".format(bucket, key)
         estimator.uploaded_code = fw_utils.UploadedCode(s3_prefix=code_dir, script_name=script)
         s3_operations["S3Upload"] = [
-            {"Path": estimator.source_dir or script, "Bucket": bucket, "Key": key, "Tar": True}
+            {
+                "Path": estimator.source_dir or estimator.entry_point,
+                "Bucket": bucket,
+                "Key": key,
+                "Tar": True,
+            }
         ]
     estimator._hyperparameters[sagemaker.model.DIR_PARAM_NAME] = code_dir
     estimator._hyperparameters[sagemaker.model.SCRIPT_PARAM_NAME] = script

tests/unit/test_airflow.py

@@ -164,7 +164,7 @@ def test_byo_training_config_all_args(sagemaker_session):
 @patch("sagemaker.utils.sagemaker_timestamp", MagicMock(return_value=TIME_STAMP))
 def test_framework_training_config_required_args(sagemaker_session):
     tf = tensorflow.TensorFlow(
-        entry_point="{{ entry_point }}",
+        entry_point="/some/script.py",
         framework_version="1.10.0",
         training_steps=1000,
         evaluation_steps=100,
@@ -206,7 +206,7 @@ def test_framework_training_config_required_args(sagemaker_session):
         "HyperParameters": {
             "sagemaker_submit_directory": '"s3://output/sagemaker-tensorflow-%s/source/sourcedir.tar.gz"'
             % TIME_STAMP,
-            "sagemaker_program": '"{{ entry_point }}"',
+            "sagemaker_program": '"script.py"',
             "sagemaker_enable_cloudwatch_metrics": "false",
             "sagemaker_container_log_level": "20",
             "sagemaker_job_name": '"sagemaker-tensorflow-%s"' % TIME_STAMP,
@@ -219,7 +219,7 @@ def test_framework_training_config_required_args(sagemaker_session):
         "S3Operations": {
             "S3Upload": [
                 {
-                    "Path": "{{ entry_point }}",
+                    "Path": "/some/script.py",
                     "Bucket": "output",
                     "Key": "sagemaker-tensorflow-%s/source/sourcedir.tar.gz" % TIME_STAMP,
                     "Tar": True,