def from_config(cls, config): config["kernel_size"] = hyperparameters.deserialize( config["kernel_size"]) config["num_blocks"] = hyperparameters.deserialize( config["num_blocks"]) config["filters"] = hyperparameters.deserialize(config["filters"]) return cls(**config)
def from_config(cls, config): config["pretraining"] = hyperparameters.deserialize( config["pretraining"]) config["dropout"] = hyperparameters.deserialize(config["dropout"]) config["embedding_dim"] = hyperparameters.deserialize( config["embedding_dim"]) return cls(**config)
def from_config(cls, config): config["bidirectional"] = hyperparameters.deserialize( config["bidirectional"]) config["num_layers"] = hyperparameters.deserialize( config["num_layers"]) config["layer_type"] = hyperparameters.deserialize( config["layer_type"]) return cls(**config)
def from_config(cls, config): config["num_layers"] = hyperparameters.deserialize( config["num_layers"]) config["num_units"] = hyperparameters.deserialize(config["num_units"]) return cls(**config)
def from_config(cls, config): config["max_sequence_length"] = hyperparameters.deserialize( config["max_sequence_length"]) return cls(**config)