def make_search_space(self):
"""Creates both the edge and operation search space definitions."""
self.make_all_possible_edges()
self.boolean_mask = pg.List(
[pg.oneof([0, 1]) for edge in self.all_possible_edges])
self.search_space = pg.Dict(boolean_mask=self.boolean_mask)
self.template = pg.template(self.search_space)
def make_search_space(self):
"""Creates both the edge and operation search space definitions."""
self.make_all_possible_edges()
self.edge_search_space = pg.sublist_of(
self.num_edges,
candidates=self.all_possible_edges,
choices_sorted=False,
choices_distinct=True)
# Every node is allowed an operation over it, after matrix multiplication.
self.op_search_space = pg.List(
[pg.one_of(self.nonlinearity_ops) for i in range(self.total_nb_nodes)])
self.search_space = pg.Dict(
edge_search_space=self.edge_search_space,
op_search_space=self.op_search_space)
self.template = pg.template(self.search_space)
def make_search_space(self):
if self.edge_policy_sample_mode == "aggregate_edges":
total_number_k = sum(self.hidden_layer_edge_num)
self.search_space = pg.sublist_of(
total_number_k,
candidates=self.all_possible_edges,
choices_sorted=False,
choices_distinct=True)
elif self.edge_policy_sample_mode == "independent_edges": # check if right
self.search_space = pg.List(self.ssd_list)
elif self.edge_policy_sample_mode == "residual_edges":
total_number_k = sum(self.hidden_layer_edge_num)
self.search_space = pg.sublist_of(
total_number_k,
candidates=self.all_possible_edges,
choices_sorted=False,
choices_distinct=True)
self.template = pg.template(self.search_space)