B ӻd@sVdZddlmZddlmZeddddZeddd d Zed dd d ZdS)z>Functions that save the model's config into different formats.) json_utils) keras_exportzkeras.models.model_from_configNcCs*t|trtdddlm}|||dS)a-Instantiates a Keras model from its config. Usage: ``` # for a Functional API model tf.keras.Model().from_config(model.get_config()) # for a Sequential model tf.keras.Sequential().from_config(model.get_config()) ``` Args: config: Configuration dictionary. custom_objects: Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization. Returns: A Keras model instance (uncompiled). Raises: TypeError: if `config` is not a dictionary. zn`model_from_config` expects a dictionary, not a list. Maybe you meant to use `Sequential.from_config(config)`?r) deserialize)custom_objects) isinstancelist TypeErrortensorflow.python.keras.layersr)configrrr ]/var/www/html/venv/lib/python3.7/site-packages/tensorflow/python/keras/saving/model_config.pymodel_from_configs  r zkeras.models.model_from_yamlcCs tddS)aParses a yaml model configuration file and returns a model instance. Note: Since TF 2.6, this method is no longer supported and will raise a RuntimeError. Args: yaml_string: YAML string or open file encoding a model configuration. custom_objects: Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization. Returns: A Keras model instance (uncompiled). Raises: RuntimeError: announces that the method poses a security risk zMethod `model_from_yaml()` has been removed due to security risk of arbitrary code execution. Please use `Model.to_json()` and `model_from_json()` instead.N) RuntimeError)Z yaml_stringrr r r model_from_yaml7srzkeras.models.model_from_jsoncCs"t|}ddlm}|||dS)aMParses a JSON model configuration string and returns a model instance. Usage: >>> model = tf.keras.Sequential([ ... tf.keras.layers.Dense(5, input_shape=(3,)), ... tf.keras.layers.Softmax()]) >>> config = model.to_json() >>> loaded_model = tf.keras.models.model_from_json(config) Args: json_string: JSON string encoding a model configuration. custom_objects: Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization. Returns: A Keras model instance (uncompiled). r)r)r)rdecoder r)Z json_stringrr rr r r model_from_jsonQs  r)N)N)N)__doc__Z*tensorflow.python.keras.saving.saved_modelrZ tensorflow.python.util.tf_exportrr rrr r r r s