X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=main.py;h=e18887b1998adc31da6c914519b2ba7ff049aece;hb=0f580d4facb4b4b485d0a38d62d06c0639715b77;hp=80f2733c7a3e97d8c8f20a8df8d7a7ad674897bb;hpb=994d2408781ebaed6da16b10b2b3ebedeff82756;p=picoclvr.git

diff --git a/main.py b/main.py
index 80f2733..e18887b 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)
 
@@ -133,6 +134,11 @@ 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()
@@ -145,6 +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,
@@ -181,6 +193,12 @@ default_args = {
         "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:
@@ -246,7 +264,16 @@ picoclvr_pruner_eval = (
 
 ######################################################################
 
-if args.task == "picoclvr":
+if args.task == "sandbox":
+    task = tasks.SandBox(
+        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,
@@ -317,6 +344,16 @@ elif args.task == "expr":
         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}")