X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=beaver.py;h=5ee468e0bf070a79ce1deff3045ab77b43e1becd;hb=9fb6b9a0f1aff25ec1b559c318102060178f3a90;hp=6a6343d4fc3e303f3352bfaaf7a29a5eabf020fc;hpb=88bcf05864ddf89d071ee4be17af57b3b3ce7c2a;p=beaver.git

diff --git a/beaver.py b/beaver.py
index 6a6343d..5ee468e 100755
--- a/beaver.py
+++ b/beaver.py
@@ -66,6 +66,8 @@ parser.add_argument("--deterministic_synthesis", action="store_true", default=Fa
 
 parser.add_argument("--random_regression_order", action="store_true", default=False)
 
+parser.add_argument("--noncausal_prompt", action="store_true", default=False)
+
 parser.add_argument("--no_checkpoint", action="store_true", default=False)
 
 parser.add_argument("--overwrite_results", action="store_true", default=False)
@@ -517,6 +519,17 @@ log_string(f"vocabulary_size {vocabulary_size}")
 
 ##############################
 
+amm_generator = None
+
+if args.noncausal_prompt:
+    amm_generator = lambda d: torch.logical_and(
+        torch.arange(d)[None, None, :, None] < torch.arange(d)[None, None, None, :],
+        torch.logical_or(
+            torch.arange(d)[None, None, :, None] >= d // 2,
+            torch.arange(d)[None, None, None, :] >= d // 2,
+        ),
+    )
+
 model = mygpt.MyGPT(
     vocabulary_size=vocabulary_size,
     dim_model=args.dim_model,
@@ -526,6 +539,7 @@ model = mygpt.MyGPT(
     nb_blocks=args.nb_blocks,
     causal=True,
     dropout=args.dropout,
+    amm_generator=amm_generator,
 )
 
 model.to(device)