X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=main.py;h=0d4930dc32104f7dd3bf579262f4ab7e82746d03;hb=d6f73f1d5093fb098e822e14db382dd3a1c63a2a;hp=69ee58f8d050ec021082f30b5190cceea5090587;hpb=a92a5ca00f4277f7a133fa6cfaada2bc1981f524;p=culture.git diff --git a/main.py b/main.py index 69ee58f..0d4930d 100755 --- a/main.py +++ b/main.py @@ -14,6 +14,7 @@ import torch, torchvision from torch import nn from torch.nn import functional as F +import ffutils import mygpt, tasks ###################################################################### @@ -81,6 +82,17 @@ parser.add_argument("--checkpoint_name", type=str, default="checkpoint.pth") ############################## # picoclvr options +parser.add_argument("--sandbox_level", type=int, default=0) + +parser.add_argument("--sandbox_levels_nb_items", type=int, default=25) + +parser.add_argument("--sandbox_levels_len_source", type=int, default=5) + +parser.add_argument("--sandbox_levels_len_result", type=int, default=8) + +############################## +# picoclvr options + parser.add_argument("--picoclvr_nb_colors", type=int, default=5) parser.add_argument("--picoclvr_height", type=int, default=12) @@ -264,7 +276,29 @@ picoclvr_pruner_eval = ( ###################################################################### if args.task == "sandbox": + if args.sandbox_level == 0: + problem = tasks.ProblemLevel0( + nb_sentences=args.sandbox_levels_nb_items, + len_prompt=args.sandbox_levels_len_source, + len_result=args.sandbox_levels_len_result, + ) + elif args.sandbox_level == 1: + problem = tasks.ProblemLevel1( + nb_operators=args.sandbox_levels_nb_items, + len_source=args.sandbox_levels_len_source, + len_result=args.sandbox_levels_len_result, + ) + elif args.sandbox_level == 2: + problem = tasks.ProblemLevel2( + len_source=args.sandbox_levels_len_source, + len_result=args.sandbox_levels_len_result, + ) + else: + raise ValueError(f"Unknown sandbox level {args.sandbox_level}") + task = tasks.SandBox( + problem, + # tasks.ProblemAddition(zero_padded=False, inverted_result=False), nb_train_samples=args.nb_train_samples, nb_test_samples=args.nb_test_samples, batch_size=args.batch_size,