breaking: rename image_name to image_uri

src/sagemaker/chainer/estimator.py

@@ -51,7 +51,7 @@ def __init__(
         hyperparameters=None,
         framework_version=None,
         py_version=None,
-        image_name=None,
+        image_uri=None,
         **kwargs
     ):
         """This ``Estimator`` executes an Chainer script in a managed Chainer
@@ -101,13 +101,13 @@ def __init__(
                 and values, but ``str()`` will be called to convert them before
                 training.
             py_version (str): Python version you want to use for executing your
-                model training code. Defaults to ``None``. Required unless ``image_name``
+                model training code. Defaults to ``None``. Required unless ``image_uri``
                 is provided.
             framework_version (str): Chainer version you want to use for
                 executing your model training code. Defaults to ``None``. Required unless
-                ``image_name`` is provided. List of supported versions:
+                ``image_uri`` is provided. List of supported versions:
                 https://github.com/aws/sagemaker-python-sdk#chainer-sagemaker-estimators.
-            image_name (str): If specified, the estimator will use this image
+            image_uri (str): If specified, the estimator will use this image
                 for training and hosting, instead of selecting the appropriate
                 SageMaker official image based on framework_version and
                 py_version. It can be an ECR url or dockerhub image and tag.
@@ -117,7 +117,7 @@ def __init__(
                     * ``custom-image:latest``
 
                 If ``framework_version`` or ``py_version`` are ``None``, then
-                ``image_name`` is required. If also ``None``, then a ``ValueError``
+                ``image_uri`` is required. If also ``None``, then a ``ValueError``
                 will be raised.
             **kwargs: Additional kwargs passed to the
                 :class:`~sagemaker.estimator.Framework` constructor.
@@ -128,7 +128,7 @@ def __init__(
             :class:`~sagemaker.estimator.Framework` and
             :class:`~sagemaker.estimator.EstimatorBase`.
         """
-        validate_version_or_image_args(framework_version, py_version, image_name)
+        validate_version_or_image_args(framework_version, py_version, image_uri)
         if py_version == "py2":
             logger.warning(
                 python_deprecation_warning(self.__framework_name__, defaults.LATEST_PY2_VERSION)
@@ -137,7 +137,7 @@ def __init__(
         self.py_version = py_version
 
         super(Chainer, self).__init__(
-            entry_point, source_dir, hyperparameters, image_name=image_name, **kwargs
+            entry_point, source_dir, hyperparameters, image_uri=image_uri, **kwargs
         )
 
         self.use_mpi = use_mpi
@@ -209,7 +209,7 @@ def create_model(
         kwargs["name"] = self._get_or_create_name(kwargs.get("name"))
 
         if "image" not in kwargs:
-            kwargs["image"] = self.image_name
+            kwargs["image"] = self.image_uri
 
         return ChainerModel(
             self.model_data,
@@ -257,8 +257,8 @@ class constructor
             if value:
                 init_params[argument[len("sagemaker_") :]] = value
 
-        image_name = init_params.pop("image")
-        framework, py_version, tag, _ = framework_name_from_image(image_name)
+        image_uri = init_params.pop("image")
+        framework, py_version, tag, _ = framework_name_from_image(image_uri)
 
         if tag is None:
             framework_version = None
@@ -270,7 +270,7 @@ class constructor
         if not framework:
             # If we were unable to parse the framework name from the image it is not one of our
             # officially supported images, in this case just add the image to the init params.
-            init_params["image_name"] = image_name
+            init_params["image_uri"] = image_uri
             return init_params
 
         if framework != cls.__framework_name__:

src/sagemaker/estimator.py

@@ -39,7 +39,6 @@
     UploadedCode,
     validate_source_dir,
     _region_supports_debugger,
-    parameter_v2_rename_warning,
 )
 from sagemaker.job import _Job
 from sagemaker.local import LocalSession
@@ -1131,7 +1130,7 @@ class Estimator(EstimatorBase):
 
     def __init__(
         self,
-        image_name,
+        image_uri,
         role,
         train_instance_count,
         train_instance_type,
@@ -1164,7 +1163,7 @@ def __init__(
         """Initialize an ``Estimator`` instance.
 
         Args:
-            image_name (str): The container image to use for training.
+            image_uri (str): The container image to use for training.
             role (str): An AWS IAM role (either name or full ARN). The Amazon
                 SageMaker training jobs and APIs that create Amazon SageMaker
                 endpoints use this role to access training data and model
@@ -1273,8 +1272,7 @@ def __init__(
                 https://docs.aws.amazon.com/sagemaker/latest/dg/API_AlgorithmSpecification.html#SageMaker-Type-AlgorithmSpecification-EnableSageMakerMetricsTimeSeries
                 (default: ``None``).
         """
-        logging.warning(parameter_v2_rename_warning("image_name", "image_uri"))
-        self.image_name = image_name
+        self.image_uri = image_uri
         self.hyperparam_dict = hyperparameters.copy() if hyperparameters else {}
         super(Estimator, self).__init__(
             role,
@@ -1312,7 +1310,7 @@ def train_image(self):
         The fit() method, that does the model training, calls this method to
         find the image to use for model training.
         """
-        return self.image_name
+        return self.image_uri
 
     def set_hyperparameters(self, **kwargs):
         """
@@ -1422,7 +1420,7 @@ class constructor
             job_details, model_channel_name
         )
 
-        init_params["image_name"] = init_params.pop("image")
+        init_params["image_uri"] = init_params.pop("image")
         return init_params
 
 
@@ -1449,7 +1447,7 @@ def __init__(
         enable_cloudwatch_metrics=False,
         container_log_level=logging.INFO,
         code_location=None,
-        image_name=None,
+        image_uri=None,
         dependencies=None,
         enable_network_isolation=False,
         git_config=None,
@@ -1515,7 +1513,7 @@ def __init__(
                 a string prepended with a "/" is appended to ``code_location``. The code
                 file uploaded to S3 is 'code_location/job-name/source/sourcedir.tar.gz'.
                 If not specified, the default ``code location`` is s3://output_bucket/job-name/.
-            image_name (str): An alternate image name to use instead of the
+            image_uri (str): An alternate image name to use instead of the
                 official Sagemaker image for the framework. This is useful to
                 run one of the Sagemaker supported frameworks with an image
                 containing custom dependencies.
@@ -1635,6 +1633,8 @@ def __init__(
         self.git_config = git_config
         self.source_dir = source_dir
         self.dependencies = dependencies or []
+        self.uploaded_code = None
+
         if enable_cloudwatch_metrics:
             warnings.warn(
                 "enable_cloudwatch_metrics is now deprecated and will be removed in the future.",
@@ -1643,11 +1643,7 @@ def __init__(
         self.enable_cloudwatch_metrics = False
         self.container_log_level = container_log_level
         self.code_location = code_location
-        self.image_name = image_name
-        if image_name is not None:
-            logging.warning(parameter_v2_rename_warning("image_name", "image_uri"))
-
-        self.uploaded_code = None
+        self.image_uri = image_uri
 
         self._hyperparameters = hyperparameters or {}
         self.checkpoint_s3_uri = checkpoint_s3_uri
@@ -1833,8 +1829,8 @@ def train_image(self):
         Returns:
             str: The URI of the Docker image.
         """
-        if self.image_name:
-            return self.image_name
+        if self.image_uri:
+            return self.image_uri
         return create_image_uri(
             self.sagemaker_session.boto_region_name,
             self.__framework_name__,

src/sagemaker/fw_utils.py

@@ -490,11 +490,11 @@ def _list_files_to_compress(script, directory):
     return [os.path.join(basedir, name) for name in os.listdir(basedir)]
 
 
-def framework_name_from_image(image_name):
+def framework_name_from_image(image_uri):
     # noinspection LongLine
     """Extract the framework and Python version from the image name.
     Args:
-        image_name (str): Image URI, which should be one of the following forms:
+        image_uri (str): Image URI, which should be one of the following forms:
             legacy:
             '<account>.dkr.ecr.<region>.amazonaws.com/sagemaker-<fw>-<py_ver>-<device>:<container_version>'
             legacy:
@@ -509,7 +509,7 @@ def framework_name_from_image(image_name):
             str: If the image is script mode
         """
     sagemaker_pattern = re.compile(ECR_URI_PATTERN)
-    sagemaker_match = sagemaker_pattern.match(image_name)
+    sagemaker_match = sagemaker_pattern.match(image_uri)
     if sagemaker_match is None:
         return None, None, None, None
     # extract framework, python version and image tag
@@ -691,22 +691,22 @@ def _region_supports_debugger(region_name):
     return region_name.lower() not in DEBUGGER_UNSUPPORTED_REGIONS
 
 
-def validate_version_or_image_args(framework_version, py_version, image_name):
+def validate_version_or_image_args(framework_version, py_version, image_uri):
     """Checks if version or image arguments are specified.
 
     Validates framework and model arguments to enforce version or image specification.
 
     Args:
         framework_version (str): The version of the framework.
         py_version (str): The version of Python.
-        image_name (str): The URI of the image.
+        image_uri (str): The URI of the image.
 
     Raises:
-        ValueError: if `image_name` is None and either `framework_version` or `py_version` is
+        ValueError: if `image_uri` is None and either `framework_version` or `py_version` is
             None.
     """
-    if (framework_version is None or py_version is None) and image_name is None:
+    if (framework_version is None or py_version is None) and image_uri is None:
         raise ValueError(
-            "framework_version or py_version was None, yet image_name was also None. "
-            "Either specify both framework_version and py_version, or specify image_name."
+            "framework_version or py_version was None, yet image_uri was also None. "
+            "Either specify both framework_version and py_version, or specify image_uri."
         )

src/sagemaker/mxnet/estimator.py

@@ -44,7 +44,7 @@ def __init__(
         py_version=None,
         source_dir=None,
         hyperparameters=None,
-        image_name=None,
+        image_uri=None,
         distribution=None,
         **kwargs
     ):
@@ -72,11 +72,11 @@ def __init__(
                 must point to a file located at the root of ``source_dir``.
             framework_version (str): MXNet version you want to use for executing
                 your model training code. Defaults to `None`. Required unless
-                ``image_name`` is provided. List of supported versions.
+                ``image_uri`` is provided. List of supported versions.
                 https://github.com/aws/sagemaker-python-sdk#mxnet-sagemaker-estimators.
             py_version (str): Python version you want to use for executing your
                 model training code. One of 'py2' or 'py3'. Defaults to ``None``. Required
-                unless ``image_name`` is provided.
+                unless ``image_uri`` is provided.
             source_dir (str): Path (absolute, relative or an S3 URI) to a directory
                 with any other training source code dependencies aside from the entry
                 point file (default: None). If ``source_dir`` is an S3 URI, it must
@@ -88,7 +88,7 @@ def __init__(
                 SageMaker. For convenience, this accepts other types for keys
                 and values, but ``str()`` will be called to convert them before
                 training.
-            image_name (str): If specified, the estimator will use this image for training and
+            image_uri (str): If specified, the estimator will use this image for training and
                 hosting, instead of selecting the appropriate SageMaker official image based on
                 framework_version and py_version. It can be an ECR url or dockerhub image and tag.
 
@@ -97,7 +97,7 @@ def __init__(
                     * ``custom-image:latest``
 
                 If ``framework_version`` or ``py_version`` are ``None``, then
-                ``image_name`` is required. If also ``None``, then a ``ValueError``
+                ``image_uri`` is required. If also ``None``, then a ``ValueError``
                 will be raised.
             distribution (dict): A dictionary with information on how to run distributed
                 training (default: None). To have parameter servers launched for training,
@@ -111,7 +111,7 @@ def __init__(
             :class:`~sagemaker.estimator.Framework` and
             :class:`~sagemaker.estimator.EstimatorBase`.
         """
-        validate_version_or_image_args(framework_version, py_version, image_name)
+        validate_version_or_image_args(framework_version, py_version, image_uri)
         if py_version == "py2":
             logger.warning(
                 python_deprecation_warning(self.__framework_name__, defaults.LATEST_PY2_VERSION)
@@ -127,7 +127,7 @@ def __init__(
                 kwargs["enable_sagemaker_metrics"] = True
 
         super(MXNet, self).__init__(
-            entry_point, source_dir, hyperparameters, image_name=image_name, **kwargs
+            entry_point, source_dir, hyperparameters, image_uri=image_uri, **kwargs
         )
 
         if distribution is not None:
@@ -168,7 +168,7 @@ def create_model(
         entry_point=None,
         source_dir=None,
         dependencies=None,
-        image_name=None,
+        image_uri=None,
         **kwargs
     ):
         """Create a SageMaker ``MXNetModel`` object that can be deployed to an
@@ -198,7 +198,7 @@ def create_model(
                 any additional libraries that will be exported to the container.
                 If not specified, the dependencies from training are used.
                 This is not supported with "local code" in Local Mode.
-            image_name (str): If specified, the estimator will use this image for hosting, instead
+            image_uri (str): If specified, the estimator will use this image for hosting, instead
                 of selecting the appropriate SageMaker official image based on framework_version
                 and py_version. It can be an ECR url or dockerhub image and tag.
 
@@ -214,7 +214,7 @@ def create_model(
             See :func:`~sagemaker.mxnet.model.MXNetModel` for full details.
         """
         if "image" not in kwargs:
-            kwargs["image"] = image_name or self.image_name
+            kwargs["image"] = image_uri or self.image_uri
 
         kwargs["name"] = self._get_or_create_name(kwargs.get("name"))
 
@@ -252,8 +252,8 @@ class constructor
         init_params = super(MXNet, cls)._prepare_init_params_from_job_description(
             job_details, model_channel_name
         )
-        image_name = init_params.pop("image")
-        framework, py_version, tag, _ = framework_name_from_image(image_name)
+        image_uri = init_params.pop("image")
+        framework, py_version, tag, _ = framework_name_from_image(image_uri)
 
         # We switched image tagging scheme from regular image version (e.g. '1.0') to more
         # expressive containing framework version, device type and python version
@@ -271,7 +271,7 @@ class constructor
         if not framework:
             # If we were unable to parse the framework name from the image it is not one of our
             # officially supported images, in this case just add the image to the init params.
-            init_params["image_name"] = image_name
+            init_params["image_uri"] = image_uri
             return init_params
 
         if framework != cls.__framework_name__: