X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=main.py;h=c763016bb7e06be9252dda4996b2f74c053732c8;hb=bf48dc69f7f57ad391481c8917570e35f661cc4a;hp=abed321652da8a50a8336958c766b9767d0ba5a8;hpb=e6e0350e49284c1b5feb8b1b3c6929ee03a857dc;p=picoclvr.git

diff --git a/main.py b/main.py
index abed321..c763016 100755
--- a/main.py
+++ b/main.py
@@ -35,7 +35,7 @@ parser.add_argument(
     "--task",
     type=str,
     default="picoclvr",
-    help="picoclvr, mnist, maze, snake, stack, expr",
+    help="picoclvr, mnist, maze, snake, stack, expr, world",
 )
 
 parser.add_argument("--log_filename", type=str, default="train.log", help=" ")
@@ -110,7 +110,7 @@ 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)
 
@@ -127,6 +127,10 @@ parser.add_argument("--expr_nb_variables", type=int, default=5)
 
 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)
 
 ######################################################################
@@ -177,6 +181,12 @@ default_args = {
         "nb_train_samples": 1000000,
         "nb_test_samples": 10000,
     },
+    "world": {
+        "nb_epochs": 5,
+        "batch_size": 25,
+        "nb_train_samples": 10000,
+        "nb_test_samples": 1000,
+    },
 }
 
 if args.task in default_args:
@@ -307,6 +317,16 @@ 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,
         device=device,
     )