Skip to content
Branch: master
Find file Copy path
Find file Copy path
1 contributor

Users who have contributed to this file

83 lines (67 sloc) 2.79 KB
import kerastuner
import tensorflow as tf
from tensorflow.python.util import nest
from autokeras import utils
from autokeras.engine import node as node_module
from autokeras.engine import serializable
class Block(kerastuner.HyperModel, serializable.Serializable):
"""The base class for different Block.
The Block can be connected together to build the search space
for an AutoModel. Notably, many args in the __init__ function are defaults to
be a tunable variable when not specified by the user.
# Arguments
name: String. The name of the block. If unspecified, it will be set
automatically with the class name.
def __init__(self, name=None, **kwargs):
if not name:
prefix = self.__class__.__name__
name = prefix + '_' + str(tf.keras.backend.get_uid(prefix))
name = utils.to_snake_case(name) = name
self.inputs = None
self.outputs = None
self._num_output_node = 1
def _build_wrapper(self, hp, *args, **kwargs):
if not self.tunable:
# Copy `HyperParameters` object so that new entries are not added
# to the search space.
hp = hp.copy()
with hp.name_scope(
return self._build(hp, *args, **kwargs)
def __call__(self, inputs):
"""Functional API.
# Arguments
inputs: A list of input node(s) or a single input node for the block.
# Returns
list: A list of output node(s) of the Block.
self.inputs = nest.flatten(inputs)
for input_node in self.inputs:
if not isinstance(input_node, node_module.Node):
raise TypeError('Expect the inputs to layer {name} to be '
'a Node, but got {type}.'.format(,
self.outputs = []
for _ in range(self._num_output_node):
output_node = node_module.Node()
return self.outputs
def build(self, hp, inputs=None):
"""Build the Block into a real Keras Model.
The subclasses should override this function and return the output node.
# Arguments
hp: HyperParameters. The hyperparameters for building the model.
inputs: A list of input node(s).
return super().build(hp)
def get_config(self):
"""Get the configuration of the preprocessor.
# Returns
A dictionary of configurations of the preprocessor.
return {'name':}
You can’t perform that action at this time.