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# Copyright 2020 The AutoKeras Authors. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
from tensorflow import nest | |
from autokeras.engine import named_hypermodel | |
from autokeras.engine import node as node_module | |
class Block(named_hypermodel.NamedHyperModel): | |
"""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. | |
""" | |
def __init__(self, **kwargs): | |
super().__init__(**kwargs) | |
self.inputs = None | |
self.outputs = None | |
self._num_output_node = 1 | |
def _build_wrapper(self, hp, *args, **kwargs): | |
with hp.name_scope(self.name): | |
return super()._build_wrapper(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 block {name} to be " | |
"a Node, but got {type}.".format( | |
name=self.name, type=type(input_node) | |
) | |
) | |
input_node.add_out_block(self) | |
self.outputs = [] | |
for _ in range(self._num_output_node): | |
output_node = node_module.Node() | |
output_node.add_in_block(self) | |
self.outputs.append(output_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). | |
""" | |
raise NotImplementedError |