From: François Fleuret <francois@fleuret.org>
Date: Fri, 19 Jan 2024 13:06:05 +0000 (+0100)
Subject: Update.
X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=ec5bad2e7911bdf9b7851342a3ee007d41b80963;p=mygptrnn.git

Update.
---

diff --git a/mygpt.py b/mygpt.py
index 2d33574..0414bb6 100755
--- a/mygpt.py
+++ b/mygpt.py
@@ -202,7 +202,7 @@ class DumbRec(nn.Module):
         attention_dropout=0.0,
         len_max=1e5,
         logger=print,
-        args,
+        args=None,
     ):
         super().__init__()
 
@@ -333,7 +333,7 @@ class KVRec(nn.Module):
         attention_dropout=0.0,
         len_max=1e5,
         logger=print,
-        args,
+        args=None,
     ):
         super().__init__()
 
@@ -487,7 +487,7 @@ class Caterpillar(nn.Module):
         attention_dropout=0.0,
         len_max=1e5,
         logger=print,
-        args,
+        args=None,
     ):
         super().__init__()
 
@@ -715,7 +715,7 @@ class QKVAttention(nn.Module):
         causal=False,
         attention_dropout=0.0,
         logger=print,
-        args,
+        args=None,
     ):
         super().__init__()
 
@@ -808,7 +808,7 @@ class MyGPT(nn.Module):
         len_max=1e5,
         attention_layer="kvrec",
         logger=print,
-        args,
+        args=None,
     ):
         super().__init__()
 
@@ -846,7 +846,7 @@ class MyGPT(nn.Module):
                     causal=causal,
                     attention_dropout=dropout,
                     logger=logger,
-                    args,
+                    args=args,
                 )
             elif attention_layer == "dumbrec":
                 return DumbRec(
@@ -857,7 +857,7 @@ class MyGPT(nn.Module):
                     nb_lines=nb_lines,
                     attention_dropout=dropout,
                     logger=logger,
-                    args,
+                    args=args,
                 )
             elif attention_layer == "kvrec":
                 return KVRec(
@@ -868,7 +868,7 @@ class MyGPT(nn.Module):
                     nb_lines=nb_lines,
                     attention_dropout=dropout,
                     logger=logger,
-                    args,
+                    args=args,
                 )
             elif attention_layer == "caterpillar":
                 return Caterpillar(
@@ -880,7 +880,7 @@ class MyGPT(nn.Module):
                     caterpillar_height=self.caterpillar_height,
                     attention_dropout=dropout,
                     logger=logger,
-                    args,
+                    args=args,
                 )
             else:
                 raise ValueError(f"Unknown attention type {attention_layer}.")