X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=main.py;h=2edfa14de0107376a431632791564451e729c298;hb=b1d28a1ed672be21947509dac2f90666b65b5034;hp=69731ff89e5e290b2124d84eeffad5aafcabef03;hpb=9d8e9d4fac19329a328dd33b26115792a8090c57;p=picoclvr.git diff --git a/main.py b/main.py index 69731ff..2edfa14 100755 --- a/main.py +++ b/main.py @@ -33,7 +33,7 @@ parser.add_argument( "--task", type=str, default="twotargets", - help="byheart, learnop, guessop, mixing, memory, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl, grid, qmlp", + help="file, byheart, learnop, guessop, mixing, memory, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl, grid, qmlp, escape", ) parser.add_argument("--log_filename", type=str, default="train.log", help=" ") @@ -86,6 +86,13 @@ parser.add_argument("--overwrite_results", action="store_true", default=False) parser.add_argument("--checkpoint_name", type=str, default="checkpoint.pth") +############################## +# filetask + +parser.add_argument("--filetask_train_file", type=str, default=None) + +parser.add_argument("--filetask_test_file", type=str, default=None) + ############################## # rpl options @@ -104,6 +111,8 @@ parser.add_argument("--rpl_no_prog", action="store_true", default=False) parser.add_argument("--grid_size", type=int, default=6) +parser.add_argument("--grid_fraction_play", type=float, default=0) + ############################## # picoclvr options @@ -166,6 +175,15 @@ parser.add_argument("--mixing_hard", action="store_true", default=False) parser.add_argument("--mixing_deterministic_start", action="store_true", default=False) +############################## +# escape options + +parser.add_argument("--escape_height", type=int, default=4) + +parser.add_argument("--escape_width", type=int, default=6) + +parser.add_argument("--escape_T", type=int, default=25) + ###################################################################### args = parser.parse_args() @@ -178,6 +196,12 @@ if args.result_dir is None: ###################################################################### default_task_args = { + "file": { + "model": "37M", + "batch_size": 25, + "nb_train_samples": 250000, + "nb_test_samples": 10000, + }, "addition": { "model": "352M", "batch_size": 25, @@ -274,6 +298,12 @@ default_task_args = { "nb_train_samples": 60000, "nb_test_samples": 10000, }, + "escape": { + "model": "37M", + "batch_size": 25, + "nb_train_samples": 25000, + "nb_test_samples": 10000, + }, } if args.task in default_task_args: @@ -388,7 +418,22 @@ picoclvr_pruner_eval = ( ###################################################################### -if args.task == "byheart": +if args.task == "file": + assert ( + args.filetask_train_file is not None and args.filetask_test_file is not None + ), "You have to specify the task train and test files" + task = tasks.TaskFromFile( + args.filetask_train_file, + args.filetask_test_file, + nb_train_samples=args.nb_train_samples, + nb_test_samples=args.nb_test_samples, + batch_size=args.batch_size, + shuffle=True, + device=device, + ) + args.max_percents_of_test_in_train = 0 + +elif args.task == "byheart": task = tasks.SandBox( problem=problems.ProblemByHeart(), nb_train_samples=args.nb_train_samples, @@ -554,6 +599,7 @@ elif args.task == "grid": nb_test_samples=args.nb_test_samples, batch_size=args.batch_size, size=args.grid_size, + fraction_play=args.grid_fraction_play, logger=log_string, device=device, ) @@ -568,6 +614,18 @@ elif args.task == "qmlp": device=device, ) +elif args.task == "escape": + task = tasks.Escape( + nb_train_samples=args.nb_train_samples, + nb_test_samples=args.nb_test_samples, + batch_size=args.batch_size, + height=args.escape_height, + width=args.escape_width, + T=args.escape_T, + logger=log_string, + device=device, + ) + else: raise ValueError(f"Unknown task {args.task}")