def __init__(self, config):
self.config = config
self.data = DataSet(self.config)
self.add_placeholders()
self.summarizer = tf.summary
self.net = Network(config)
self.saver = tf.train.Saver()
self.epoch_count, self.second_epoch_count = 0, 0
self.outputs, self.prob = self.net.neural_search()
self.hyperparams = self.net.gen_hyperparams(self.outputs)
self.hype_list = [1 for i in range(self.config.hyperparams)] #[7, 7, 24, 5, 5, 36, 3, 3, 48, 64]
self.reinforce_loss = self.net.REINFORCE(self.prob)
self.tr_cont_step = self.net.train_controller(self.reinforce_loss, self.val_accuracy)
self.cNet, self.y_pred = self.init_child(self.hype_list)
self.cross_loss, self.accuracy, self.tr_model_step = self.grow_child()
self.init = tf.global_variables_initializer()
self.local_init = tf.local_variables_initializer()
__main__.py 文件源码
python
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