def __init__(self, dataset_name, model_name, net_constructor):
# Initialize all defaults
self.dataset_name = dataset_name
self.model_name = model_name
self.num_iterations = 200
self.iterations_per_test = 5
self.display_iter = 5
self.snapshot_iter = 1000000
self.train_batch_size = 0
self.test_batch_size = 0
self.crop_if_possible = True
self.debug = False
self.starter_learning_rate = 0.1
self.learning_rate_exp = 0.1
self.learning_rate_step = 1000
self.reports = {}
self.silent = False
self.optimizer = 'momentum'
self.net_constructor = net_constructor
self.net = GraphCNNNetwork()
self.net_desc = GraphCNNNetworkDescription()
tf.reset_default_graph()
# print_ext can be disabled through the silent flag
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