fix: add logic to use asimov image for TF 1.14 py2

doc/using_tf.rst

@@ -8,9 +8,6 @@ models on SageMaker Hosting.
 
 For general information about using the SageMaker Python SDK, see :ref:`overview:Using the SageMaker Python SDK`.
 
-.. warning::
-    The TensorFlow estimator is available only for Python 3, starting by the TensorFlow version 1.14.
-
 .. warning::
     We have added a new format of your TensorFlow training script with TensorFlow version 1.11.
     This new way gives the user script more flexibility.

src/sagemaker/fw_utils.py

@@ -113,7 +113,26 @@ def _using_merged_images(region, framework, py_version, accelerator_type, framew
     is_gov_region = region in VALID_ACCOUNTS_BY_REGION
     is_py3 = py_version == "py3" or py_version is None
     is_merged_versions = _is_merged_versions(framework, framework_version)
-    return (not is_gov_region) and is_merged_versions and is_py3 and accelerator_type is None
+    return (
+        (not is_gov_region)
+        and is_merged_versions
+        and (is_py3 or _is_tf_14_or_later(framework, framework_version))
+        and accelerator_type is None
+    )
+
+
+def _is_tf_14_or_later(framework, framework_version):
+    """
+    Args:
+        framework:
+        framework_version:
+    """
+    # Asimov team now owns Tensorflow 1.14.0 py2 and py3
+    asimov_lowest_tf_py2 = [1, 14, 0]
+    version = [int(s) for s in framework_version.split(".")]
+    return (
+        framework == "tensorflow-scriptmode" and version >= asimov_lowest_tf_py2[0 : len(version)]
+    )
 
 
 def _registry_id(region, framework, py_version, account, accelerator_type, framework_version):

src/sagemaker/tensorflow/estimator.py

@@ -199,6 +199,8 @@ class TensorFlow(Framework):
     """The latest version of TensorFlow included in the SageMaker pre-built Docker images."""
 
     _LOWEST_SCRIPT_MODE_ONLY_VERSION = [1, 13]
+    # 1.14.0 now supports py2
+    # we will need to update this version number if future versions do not support py2 anymore
     _LOWEST_PYTHON_2_ONLY_VERSION = [1, 14]
 
     def __init__(
@@ -343,7 +345,7 @@ def _validate_args(
 
         if py_version == "py2" and self._only_python_3_supported():
             msg = (
-                "Python 2 containers are only available until TensorFlow version 1.13.1. "
+                "Python 2 containers are only available until TensorFlow version 1.14.0. "
                 "Please use a Python 3 container."
             )
             raise AttributeError(msg)

tests/unit/test_fw_utils.py

@@ -187,6 +187,13 @@ def test_create_image_uri_merged_py2():
         == "520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-tensorflow-scriptmode:1.13.1-gpu-py2"
     )
 
+    image_uri = fw_utils.create_image_uri(
+        "us-west-2", "tensorflow-scriptmode", "ml.p3.2xlarge", "1.14", "py2"
+    )
+    assert (
+        image_uri == "763104351884.dkr.ecr.us-west-2.amazonaws.com/tensorflow-training:1.14-gpu-py2"
+    )
+
     image_uri = fw_utils.create_image_uri("us-west-2", "mxnet", "ml.p3.2xlarge", "1.4.1", "py2")
     assert image_uri == "520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-mxnet:1.4.1-gpu-py2"
 

tests/unit/test_tf_estimator.py

@@ -957,18 +957,12 @@ def test_script_mode_deprecated_args(sagemaker_session):
 
 def test_py2_version_deprecated(sagemaker_session):
     with pytest.raises(AttributeError) as e:
-        _build_tf(sagemaker_session=sagemaker_session, framework_version="1.14", py_version="py2")
+        _build_tf(sagemaker_session=sagemaker_session, framework_version="1.14.1", py_version="py2")
 
-    msg = "Python 2 containers are only available until TensorFlow version 1.13.1. Please use a Python 3 container."
+    msg = "Python 2 containers are only available until TensorFlow version 1.14.0. Please use a Python 3 container."
     assert msg in str(e.value)
 
 
-def test_py3_is_default_version_after_tf1_14(sagemaker_session):
-    estimator = _build_tf(sagemaker_session=sagemaker_session, framework_version="1.14")
-
-    assert estimator.py_version == "py3"
-
-
 def test_py3_is_default_version_before_tf1_14(sagemaker_session):
     estimator = _build_tf(sagemaker_session=sagemaker_session, framework_version="1.13")