Fix NATS-Bench and NAS-Bench-201 for removing lib

This commit is contained in:
D-X-Y
2021-05-24 11:04:18 +08:00
parent c5788ba19c
commit da2575cc6c
31 changed files with 136 additions and 216 deletions

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@@ -12,15 +12,12 @@ from copy import deepcopy
from pathlib import Path
import torch
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config
from datasets import get_datasets, SearchDataset
from procedures import prepare_seed, prepare_logger
from log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.config_utils import load_config
from xautodl.datasets import get_datasets, SearchDataset
from xautodl.procedures import prepare_seed, prepare_logger
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import CellStructure, get_search_spaces
from nas_201_api import NASBench201API as API
from models import CellStructure, get_search_spaces
# BOHB: Robust and Efficient Hyperparameter Optimization at Scale, ICML 2018
import ConfigSpace

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@@ -8,21 +8,18 @@ from copy import deepcopy
import torch
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config, configure2str
from datasets import get_datasets, get_nas_search_loaders
from procedures import (
from xautodl.config_utils import load_config, dict2config, configure2str
from xautodl.datasets import get_datasets, get_nas_search_loaders
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_cell_based_tiny_net, get_search_spaces
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import get_cell_based_tiny_net, get_search_spaces
from nas_201_api import NASBench201API as API

View File

@@ -8,23 +8,19 @@ import numpy as np
from copy import deepcopy
import torch
import torch.nn as nn
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config, configure2str
from datasets import get_datasets, get_nas_search_loaders
from procedures import (
from xautodl.config_utils import load_config, dict2config, configure2str
from xautodl.datasets import get_datasets, get_nas_search_loaders
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_cell_based_tiny_net, get_search_spaces
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import get_cell_based_tiny_net, get_search_spaces
from nas_201_api import NASBench201API as API
@@ -443,7 +439,7 @@ def main(xargs):
if __name__ == "__main__":
parser = argparse.ArgumentParser("DARTS Second Order")
parser.add_argument("--data_path", type=str, help="Path to dataset")
parser.add_argument("--data_path", type=str, help="The path to dataset")
parser.add_argument(
"--dataset",
type=str,

View File

@@ -8,23 +8,19 @@ import numpy as np
from copy import deepcopy
import torch
import torch.nn as nn
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config, configure2str
from datasets import get_datasets, get_nas_search_loaders
from procedures import (
from xautodl.config_utils import load_config, dict2config, configure2str
from xautodl.datasets import get_datasets, get_nas_search_loaders
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_cell_based_tiny_net, get_search_spaces
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import get_cell_based_tiny_net, get_search_spaces
from nas_201_api import NASBench201API as API
@@ -527,7 +523,7 @@ def main(xargs):
if __name__ == "__main__":
parser = argparse.ArgumentParser("ENAS")
parser.add_argument("--data_path", type=str, help="Path to dataset")
parser.add_argument("--data_path", type=str, help="The path to dataset")
parser.add_argument(
"--dataset",
type=str,

View File

@@ -6,23 +6,18 @@
import sys, time, random, argparse
from copy import deepcopy
import torch
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config
from datasets import get_datasets, get_nas_search_loaders
from procedures import (
from xautodl.config_utils import load_config, dict2config
from xautodl.datasets import get_datasets, get_nas_search_loaders
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_cell_based_tiny_net, get_search_spaces
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import get_cell_based_tiny_net, get_search_spaces
from nas_201_api import NASBench201API as API
@@ -343,7 +338,7 @@ def main(xargs):
if __name__ == "__main__":
parser = argparse.ArgumentParser("GDAS")
parser.add_argument("--data_path", type=str, help="Path to dataset")
parser.add_argument("--data_path", type=str, help="The path to dataset")
parser.add_argument(
"--dataset",
type=str,

View File

@@ -8,23 +8,19 @@ import numpy as np
from copy import deepcopy
import torch
import torch.nn as nn
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config, configure2str
from datasets import get_datasets, get_nas_search_loaders
from procedures import (
from xautodl.config_utils import load_config, dict2config, configure2str
from xautodl.datasets import get_datasets, get_nas_search_loaders
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_cell_based_tiny_net, get_search_spaces
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import get_cell_based_tiny_net, get_search_spaces
from nas_201_api import NASBench201API as API
@@ -335,7 +331,7 @@ def main(xargs):
if __name__ == "__main__":
parser = argparse.ArgumentParser("Random search for NAS.")
parser.add_argument("--data_path", type=str, help="Path to dataset")
parser.add_argument("--data_path", type=str, help="The path to dataset")
parser.add_argument(
"--dataset",
type=str,

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@@ -8,21 +8,19 @@ import torch
import torch.nn as nn
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config, configure2str
from datasets import get_datasets, SearchDataset
from procedures import (
from xautodl.config_utils import load_config, dict2config, configure2str
from xautodl.datasets import get_datasets, SearchDataset
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_search_spaces
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import get_search_spaces
from nas_201_api import NASBench201API as API
from R_EA import train_and_eval, random_architecture_func

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@@ -3,3 +3,5 @@
The Python files in this folder are used to re-produce the results in our NAS-Bench-201 paper.
We have upgraded the codes to be more general and extendable at [NATS-algos](https://github.com/D-X-Y/AutoDL-Projects/tree/main/exps/NATS-algos).
**Notice** On 24 May 2021, the codes in `AutoDL` repo have been re-organized. If you find `module not found` error, please let me know. I will fix them ASAP.

View File

@@ -10,22 +10,19 @@ import torch
import torch.nn as nn
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config, configure2str
from datasets import get_datasets, SearchDataset
from procedures import (
from xautodl.config_utils import load_config, dict2config, configure2str
from xautodl.datasets import get_datasets, SearchDataset
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import CellStructure, get_search_spaces
from nas_201_api import NASBench201API as API
from models import CellStructure, get_search_spaces
class Model(object):

View File

@@ -10,21 +10,18 @@ import torch
import torch.nn as nn
from pathlib import Path
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config, configure2str
from datasets import get_datasets, get_nas_search_loaders
from procedures import (
from xautodl.config_utils import load_config, dict2config, configure2str
from xautodl.datasets import get_datasets, get_nas_search_loaders
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from models import get_cell_based_tiny_net, get_search_spaces
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import get_cell_based_tiny_net, get_search_spaces
from nas_201_api import NASBench201API as API

View File

@@ -11,22 +11,19 @@ import torch
import torch.nn as nn
from torch.distributions import Categorical
lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
if str(lib_dir) not in sys.path:
sys.path.insert(0, str(lib_dir))
from config_utils import load_config, dict2config, configure2str
from datasets import get_datasets, SearchDataset
from procedures import (
from xautodl.config_utils import load_config, dict2config, configure2str
from xautodl.datasets import get_datasets, SearchDataset
from xautodl.procedures import (
prepare_seed,
prepare_logger,
save_checkpoint,
copy_checkpoint,
get_optim_scheduler,
)
from utils import get_model_infos, obtain_accuracy
from log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.utils import get_model_infos, obtain_accuracy
from xautodl.log_utils import AverageMeter, time_string, convert_secs2time
from xautodl.models import CellStructure, get_search_spaces
from nas_201_api import NASBench201API as API
from models import CellStructure, get_search_spaces
from R_EA import train_and_eval