X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=main.py;h=213524e753f4f6732bbfcb9cbb9929bdf82ad19a;hb=8d2ebe29b48e3cf2f0a3937ab1e44d0e12a4924e;hp=56b7e1c74e40d1cbfba6d612439fb6051f70f050;hpb=2175a87ad4304a97c63ac9cca6224d0c0b74c64e;p=picoclvr.git diff --git a/main.py b/main.py index 56b7e1c..213524e 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 ###################################################################### @@ -34,8 +35,8 @@ parser = argparse.ArgumentParser( parser.add_argument( "--task", type=str, - default="picoclvr", - help="picoclvr, mnist, maze, snake, stack, expr", + default="sandbox", + help="sandbox, picoclvr, mnist, maze, snake, stack, expr, world", ) parser.add_argument("--log_filename", type=str, default="train.log", help=" ") @@ -110,7 +111,7 @@ parser.add_argument("--snake_nb_colors", type=int, default=5) parser.add_argument("--snake_length", type=int, default=200) ############################## -# Snake options +# Stack options parser.add_argument("--stack_nb_steps", type=int, default=100) @@ -125,10 +126,19 @@ parser.add_argument("--stack_fraction_values_for_train", type=float, default=0.7 parser.add_argument("--expr_nb_variables", type=int, default=5) -parser.add_argument("--expr_sequence_length", type=int, default=30) +parser.add_argument("--expr_sequence_length", type=int, default=40) + +parser.add_argument("--expr_operand_max", type=int, default=9) + +parser.add_argument("--expr_result_max", type=int, default=99) parser.add_argument("--expr_input_file", type=str, default=None) +############################## +# World options + +parser.add_argument("--world_vqae_nb_epochs", type=int, default=25) + ###################################################################### args = parser.parse_args() @@ -141,6 +151,12 @@ if args.result_dir is None: ###################################################################### default_args = { + "sandbox": { + "nb_epochs": 10, + "batch_size": 25, + "nb_train_samples": 25000, + "nb_test_samples": 10000, + }, "picoclvr": { "nb_epochs": 25, "batch_size": 25, @@ -172,11 +188,17 @@ default_args = { "nb_test_samples": 1000, }, "expr": { - "nb_epochs": 50, + "nb_epochs": 40, "batch_size": 25, - "nb_train_samples": 250000, + "nb_train_samples": 1000000, "nb_test_samples": 10000, }, + "world": { + "nb_epochs": 10, + "batch_size": 25, + "nb_train_samples": 25000, + "nb_test_samples": 1000, + }, } if args.task in default_args: @@ -242,7 +264,18 @@ picoclvr_pruner_eval = ( ###################################################################### -if args.task == "picoclvr": +if args.task == "sandbox": + task = tasks.SandBox( + tasks.ProblemLevel1(), + # 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, + logger=log_string, + device=device, + ) + +elif args.task == "picoclvr": task = tasks.PicoCLVR( nb_train_samples=args.nb_train_samples, nb_test_samples=args.nb_test_samples, @@ -307,10 +340,22 @@ elif args.task == "expr": nb_test_samples=args.nb_test_samples, nb_variables=args.expr_nb_variables, sequence_length=args.expr_sequence_length, + operand_max=args.expr_operand_max, + result_max=args.expr_result_max, batch_size=args.batch_size, device=device, ) +elif args.task == "world": + task = tasks.World( + nb_train_samples=args.nb_train_samples, + nb_test_samples=args.nb_test_samples, + batch_size=args.batch_size, + vqae_nb_epochs=args.world_vqae_nb_epochs, + logger=log_string, + device=device, + ) + else: raise ValueError(f"Unknown task {args.task}")