a SicL@sJdZddlmZedd ddZedddd Zed dd d ZdS)z>Functions that save the model's config into different formats.) keras_exportzkeras.models.model_from_configNcCs2t|trtd|dddlm}|||dS)aOInstantiates 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. zG`model_from_config` expects a dictionary, not a list. Received: config=z8. Did you meant to use `Sequential.from_config(config)`?r) deserializecustom_objects) isinstancelist TypeError keras.layersr)configrrr U/var/www/html/django/DPS/env/lib/python3.9/site-packages/keras/saving/model_config.pymodel_from_configs  r zkeras.models.model_from_yamlcCs tddS)a3Parses 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) yaml_stringrr r r model_from_yaml:srzkeras.models.model_from_jsoncCsddlm}|||dS)aiParses 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)deserialize_from_jsonr)r r) json_stringrrr r r model_from_jsonTs r)N)N)N)__doc__ tensorflow.python.util.tf_exportrr rrr r r r s  #