d0eb4a21ff3a746c8431fdd74104b48bd2d17e54,src/sagemaker/tensorflow/estimator.py,TensorFlow,_validate_args,#TensorFlow#Any#Any#,160

Before Change

            )
            raise AttributeError(msg)

        if (not self._script_mode_enabled) and self._only_script_mode_supported():
            logger.warning(
                "Legacy mode is deprecated in versions 1.13 and higher. Using script mode instead."
            )
            self._script_mode_enabled = True

        if self._only_legacy_mode_supported():
            // TODO: add link to docs to explain how to use legacy mode with v2
            logger.warning(
                "TF %s supports only legacy mode. If you were using any legacy mode parameters "

After Change

            )
            raise AttributeError(msg)

        if self._only_legacy_mode_supported() and self.image_name is None:
            legacy_image_uri = fw.create_image_uri(
                self.sagemaker_session.boto_region_name,
                "tensorflow",
                self.train_instance_type,
                self.framework_version,
                self.py_version,
            )

            // TODO: add link to docs to explain how to use legacy mode with v2
            msg = (
                "TF {} supports only legacy mode. Please supply the image URI directly with "
                ""image_name={}" and set "model_dir=False". If you are using any legacy parameters "
                "(training_steps, evaluation_steps, checkpoint_path, requirements_file), "
                "make sure to pass them directly as hyperparameters instead."
            ).format(self.framework_version, legacy_image_uri)

            raise ValueError(msg)

    def _only_legacy_mode_supported(self):
        Placeholder docstring
        return version.Version(self.framework_version) <= self._HIGHEST_LEGACY_MODE_ONLY_VERSION

Instances