set y's points
This commit is contained in:
parent
3c92e754d3
commit
1fa2d49c11
@ -25,7 +25,9 @@ from sklearn.model_selection import train_test_split
|
||||
import utils as utils
|
||||
from datasets.abstract_dataset import AbstractDatasetInfos, AbstractDataModule
|
||||
from diffusion.distributions import DistributionNodes
|
||||
# from naswot.score_networks import get_nasbench201_idx_score
|
||||
from naswot.score_networks import get_nasbench201_idx_score
|
||||
from naswot import nasspace
|
||||
from naswot import datasets as dt
|
||||
|
||||
import networkx as nx
|
||||
|
||||
@ -682,7 +684,7 @@ class Dataset(InMemoryDataset):
|
||||
|
||||
data_list = []
|
||||
# len_data = len(self.api)
|
||||
len_data = 1000
|
||||
len_data = 15625
|
||||
def check_valid_graph(nodes, edges):
|
||||
if len(nodes) != edges.shape[0] or len(nodes) != edges.shape[1]:
|
||||
return False
|
||||
@ -745,11 +747,9 @@ class Dataset(InMemoryDataset):
|
||||
print(f'edges size: {edges.shape}, nodes size: {len(nodes)}')
|
||||
return edges,nodes
|
||||
|
||||
def get_nasbench_201_val(idx):
|
||||
pass
|
||||
|
||||
# def graph_to_graph_data(graph, idx):
|
||||
def graph_to_graph_data(graph):
|
||||
def graph_to_graph_data(graph, idx, train_loader, searchspace, args, device):
|
||||
# def graph_to_graph_data(graph):
|
||||
ops = graph[1]
|
||||
adj = graph[0]
|
||||
nodes = []
|
||||
@ -770,12 +770,49 @@ class Dataset(InMemoryDataset):
|
||||
edge_index = torch.tensor(edges_list, dtype=torch.long).t()
|
||||
edge_type = torch.tensor(edge_type, dtype=torch.long)
|
||||
edge_attr = edge_type
|
||||
y = torch.tensor([0, 0], dtype=torch.float).view(1, -1)
|
||||
# y = get_nasbench_201_val(idx)
|
||||
data = Data(x=x, edge_index=edge_index, edge_attr=edge_attr, y=y, idx=i)
|
||||
# y = torch.tensor([0, 0], dtype=torch.float).view(1, -1)
|
||||
y = get_nasbench201_idx_score(idx, train_loader, searchspace, args, device)
|
||||
print(y, idx)
|
||||
if y > 1600:
|
||||
print(f'idx={idx}, y={y}')
|
||||
y = torch.tensor([1, 1], dtype=torch.float).view(1, -1)
|
||||
data = Data(x=x, edge_index=edge_index, edge_attr=edge_attr, y=y, idx=i)
|
||||
else:
|
||||
print(f'idx={idx}, y={y}')
|
||||
y = torch.tensor([0, 0], dtype=torch.float).view(1, -1)
|
||||
data = Data(x=x, edge_index=edge_index, edge_attr=edge_attr, y=y, idx=i)
|
||||
return None
|
||||
return data
|
||||
graph_list = []
|
||||
|
||||
class Args:
|
||||
pass
|
||||
args = Args()
|
||||
args.trainval = True
|
||||
args.augtype = 'none'
|
||||
args.repeat = 1
|
||||
args.score = 'hook_logdet'
|
||||
args.sigma = 0.05
|
||||
args.nasspace = 'nasbench201'
|
||||
args.batch_size = 128
|
||||
args.GPU = '0'
|
||||
args.dataset = 'cifar10'
|
||||
args.api_loc = '/nfs/data3/hanzhang/nasbenchDiT/graph_dit/NAS-Bench-201-v1_1-096897.pth'
|
||||
args.data_loc = '../cifardata/'
|
||||
args.seed = 777
|
||||
args.init = ''
|
||||
args.save_loc = 'results'
|
||||
args.save_string = 'naswot'
|
||||
args.dropout = False
|
||||
args.maxofn = 1
|
||||
args.n_samples = 100
|
||||
args.n_runs = 500
|
||||
args.stem_out_channels = 16
|
||||
args.num_stacks = 3
|
||||
args.num_modules_per_stack = 3
|
||||
args.num_labels = 1
|
||||
searchspace = nasspace.get_search_space(args)
|
||||
train_loader = dt.get_data(args.dataset, args.data_loc, args.trainval, args.batch_size, args.augtype, args.repeat, args)
|
||||
device = torch.device('cuda:2')
|
||||
with tqdm(total = len_data) as pbar:
|
||||
active_nodes = set()
|
||||
file_path = '/nfs/data3/hanzhang/nasbenchDiT/graph_dit/nasbench-201-graph.json'
|
||||
@ -785,6 +822,7 @@ class Dataset(InMemoryDataset):
|
||||
flex_graph_list = []
|
||||
flex_graph_path = '/nfs/data3/hanzhang/nasbenchDiT/graph_dit/flex-nasbench201-graph.json'
|
||||
for graph in graph_list:
|
||||
print(f'iterate every graph in graph_list, here is {i}')
|
||||
# arch_info = self.api.query_meta_info_by_index(i)
|
||||
# results = self.api.query_by_index(i, 'cifar100')
|
||||
arch_info = graph['arch_str']
|
||||
@ -796,8 +834,11 @@ class Dataset(InMemoryDataset):
|
||||
for op in ops:
|
||||
if op not in active_nodes:
|
||||
active_nodes.add(op)
|
||||
|
||||
data = graph_to_graph_data((adj_matrix, ops))
|
||||
data = graph_to_graph_data((adj_matrix, ops),idx=i, train_loader=train_loader, searchspace=searchspace, args=args, device=device)
|
||||
i += 1
|
||||
if data is None:
|
||||
pbar.update(1)
|
||||
continue
|
||||
# with open(flex_graph_path, 'a') as f:
|
||||
# flex_graph = {
|
||||
# 'adj_matrix': adj_matrix,
|
||||
@ -816,18 +857,12 @@ class Dataset(InMemoryDataset):
|
||||
f.write(str(data.edge_attr))
|
||||
data_list.append(data)
|
||||
|
||||
new_adj, new_ops = generate_flex_adj_mat(ori_nodes=ori_nodes, ori_edges=ori_adj, max_nodes=12, min_nodes=9, random_ratio=0.5)
|
||||
flex_graph_list.append({
|
||||
'adj_matrix':new_adj.tolist(),
|
||||
'ops': new_ops,
|
||||
})
|
||||
# with open(flex_graph_path, 'w') as f:
|
||||
# flex_graph = {
|
||||
# 'adj_matrix': new_adj.tolist(),
|
||||
# 'ops': new_ops,
|
||||
# }
|
||||
# json.dump(flex_graph, f)
|
||||
data_list.append(graph_to_graph_data((new_adj, new_ops)))
|
||||
# new_adj, new_ops = generate_flex_adj_mat(ori_nodes=ori_nodes, ori_edges=ori_adj, max_nodes=12, min_nodes=9, random_ratio=0.5)
|
||||
# flex_graph_list.append({
|
||||
# 'adj_matrix':new_adj.tolist(),
|
||||
# 'ops': new_ops,
|
||||
# })
|
||||
# data_list.append(graph_to_graph_data((new_adj, new_ops)))
|
||||
|
||||
# graph_list.append({
|
||||
# "adj_matrix": adj_matrix,
|
||||
@ -859,6 +894,7 @@ class Dataset(InMemoryDataset):
|
||||
# "seed": seed,
|
||||
# }for seed, result in results.items()]
|
||||
# })
|
||||
# i += 1
|
||||
pbar.update(1)
|
||||
|
||||
for graph in graph_list:
|
||||
@ -872,8 +908,8 @@ class Dataset(InMemoryDataset):
|
||||
graph['ops'] = ops
|
||||
with open(f'nasbench-201-graph.json', 'w') as f:
|
||||
json.dump(graph_list, f)
|
||||
with open(flex_graph_path, 'w') as f:
|
||||
json.dump(flex_graph_list, f)
|
||||
# with open(flex_graph_path, 'w') as f:
|
||||
# json.dump(flex_graph_list, f)
|
||||
|
||||
torch.save(self.collate(data_list), self.processed_paths[0])
|
||||
|
||||
@ -1148,7 +1184,8 @@ class DataInfos(AbstractDatasetInfos):
|
||||
# ops_type[op] = len(ops_type)
|
||||
# len_ops.add(len(ops))
|
||||
# graphs.append((adj_matrix, ops))
|
||||
graphs = read_adj_ops_from_json(f'/nfs/data3/hanzhang/nasbenchDiT/graph_dit/flex-nasbench201-graph.json')
|
||||
# graphs = read_adj_ops_from_json(f'/nfs/data3/hanzhang/nasbenchDiT/graph_dit/flex-nasbench201-graph.json')
|
||||
graphs = read_adj_ops_from_json(f'/nfs/data3/hanzhang/nasbenchDiT/graph_dit/nasbench-201-graph.json')
|
||||
|
||||
# check first five graphs
|
||||
for i in range(5):
|
||||
|
||||
Loading…
Reference in New Issue
Block a user