add autodl

AutoDL-Projects/xautodl/config_utils/search_args.py

@@ -0,0 +1,53 @@
+import os, sys, time, random, argparse
+from .share_args import add_shared_args
+
+
+def obtain_search_args():
+    parser = argparse.ArgumentParser(
+        description="Train a classification model on typical image classification datasets.",
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+    )
+    parser.add_argument("--resume", type=str, help="Resume path.")
+    parser.add_argument(
+        "--model_config", type=str, help="The path to the model configuration"
+    )
+    parser.add_argument(
+        "--optim_config", type=str, help="The path to the optimizer configuration"
+    )
+    parser.add_argument("--split_path", type=str, help="The split file path.")
+    # parser.add_argument('--arch_para_pure',   type=int,                   help='The architecture-parameter pure or not.')
+    parser.add_argument(
+        "--gumbel_tau_max", type=float, help="The maximum tau for Gumbel."
+    )
+    parser.add_argument(
+        "--gumbel_tau_min", type=float, help="The minimum tau for Gumbel."
+    )
+    parser.add_argument("--procedure", type=str, help="The procedure basic prefix.")
+    parser.add_argument("--FLOP_ratio", type=float, help="The expected FLOP ratio.")
+    parser.add_argument("--FLOP_weight", type=float, help="The loss weight for FLOP.")
+    parser.add_argument(
+        "--FLOP_tolerant", type=float, help="The tolerant range for FLOP."
+    )
+    # ablation studies
+    parser.add_argument(
+        "--ablation_num_select",
+        type=int,
+        help="The number of randomly selected channels.",
+    )
+    add_shared_args(parser)
+    # Optimization options
+    parser.add_argument(
+        "--batch_size", type=int, default=2, help="Batch size for training."
+    )
+    args = parser.parse_args()
+
+    if args.rand_seed is None or args.rand_seed < 0:
+        args.rand_seed = random.randint(1, 100000)
+    assert args.save_dir is not None, "save-path argument can not be None"
+    assert args.gumbel_tau_max is not None and args.gumbel_tau_min is not None
+    assert (
+        args.FLOP_tolerant is not None and args.FLOP_tolerant > 0
+    ), "invalid FLOP_tolerant : {:}".format(FLOP_tolerant)
+    # assert args.arch_para_pure is not None, 'arch_para_pure is not None: {:}'.format(args.arch_para_pure)
+    # args.arch_para_pure = bool(args.arch_para_pure)
+    return args