src/sagemaker/mxnet/processing.py [29:81]:
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    def __init__(
        self,
        framework_version,  # New arg
        role,
        instance_count,
        instance_type,
        py_version="py3",  # New kwarg
        image_uri=None,
        command=None,
        volume_size_in_gb=30,
        volume_kms_key=None,
        output_kms_key=None,
        code_location=None,  # New arg
        max_runtime_in_seconds=None,
        base_job_name=None,
        sagemaker_session=None,
        env=None,
        tags=None,
        network_config=None,
    ):
        """This processor executes a Python script in a managed MXNet execution environment.

        Unless ``image_uri`` is specified, the MXNet environment is an
        Amazon-built Docker container that executes functions defined in the supplied
        ``code`` Python script.

        The arguments have the exact same meaning as in ``FrameworkProcessor``.

        .. tip::

            You can find additional parameters for initializing this class at
            :class:`~sagemaker.processing.FrameworkProcessor`.
        """
        super().__init__(
            self.estimator_cls,
            framework_version,
            role,
            instance_count,
            instance_type,
            py_version,
            image_uri,
            command,
            volume_size_in_gb,
            volume_kms_key,
            output_kms_key,
            code_location,
            max_runtime_in_seconds,
            base_job_name,
            sagemaker_session,
            env,
            tags,
            network_config,
        )
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src/sagemaker/tensorflow/processing.py [29:81]:
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    def __init__(
        self,
        framework_version,  # New arg
        role,
        instance_count,
        instance_type,
        py_version="py3",  # New kwarg
        image_uri=None,
        command=None,
        volume_size_in_gb=30,
        volume_kms_key=None,
        output_kms_key=None,
        code_location=None,  # New arg
        max_runtime_in_seconds=None,
        base_job_name=None,
        sagemaker_session=None,
        env=None,
        tags=None,
        network_config=None,
    ):
        """This processor executes a Python script in a TensorFlow execution environment.

        Unless ``image_uri`` is specified, the TensorFlow environment is an
        Amazon-built Docker container that executes functions defined in the supplied
        ``code`` Python script.

        The arguments have the exact same meaning as in ``FrameworkProcessor``.

        .. tip::

            You can find additional parameters for initializing this class at
            :class:`~sagemaker.processing.FrameworkProcessor`.
        """
        super().__init__(
            self.estimator_cls,
            framework_version,
            role,
            instance_count,
            instance_type,
            py_version,
            image_uri,
            command,
            volume_size_in_gb,
            volume_kms_key,
            output_kms_key,
            code_location,
            max_runtime_in_seconds,
            base_job_name,
            sagemaker_session,
            env,
            tags,
            network_config,
        )
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