X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=mygpt.py;fp=mygpt.py;h=71667887781a721de2c61968fa1565ad3ed54076;hb=eb86c22964f03f186ee225f129bc260128b10f9a;hp=75adbf657b57039d48244297cf9b373916b22e5c;hpb=88bcf05864ddf89d071ee4be17af57b3b3ce7c2a;p=beaver.git

diff --git a/mygpt.py b/mygpt.py
index 75adbf6..7166788 100755
--- a/mygpt.py
+++ b/mygpt.py
@@ -132,13 +132,28 @@ class AddPositionalEncoding(nn.Module):
 
 class QKVAttention(nn.Module):
     def __init__(
-        self, dim_in, dim_qk, dim_v, nb_heads=1, causal=False, attention_dropout=0.0
+        self,
+        dim_in,
+        dim_qk,
+        dim_v,
+        nb_heads=1,
+        causal=False,
+        attention_dropout=0.0,
+        amm_generator=None,
     ):
         super().__init__()
 
         def randw(*d):
             return nn.Parameter(torch.randn(*d) / math.sqrt(d[-1]))
 
+        if amm_generator is None:
+            self.amm_generator = (
+                lambda d: torch.arange(d)[None, None, :, None]
+                < torch.arange(d)[None, None, None, :]
+            )
+        else:
+            self.amm_generator = amm_generator
+
         self.causal = causal
         self.attention_dropout = attention_dropout
 
@@ -175,10 +190,7 @@ class QKVAttention(nn.Module):
 
         if self.causal:
             if bs_q.first == 0:
-                self.cache_attzero = (
-                    torch.arange(x_q.size(1), device=q.device)[None, None, :, None]
-                    < torch.arange(x_q.size(1), device=q.device)[None, None, None, :]
-                )
+                self.cache_attzero = self.amm_generator(x_q.size(1)).to(q.device)
             a = a.masked_fill(
                 self.cache_attzero[
                     :, :, bs_q.first : bs_q.first + bs_q.nb, : bs_q.first + bs_q.nb
@@ -215,6 +227,7 @@ class MyGPT(nn.Module):
         causal=False,
         dropout=0.0,
         len_max=1e5,
+        amm_generator=None,
     ):
         super().__init__()
 
@@ -238,6 +251,7 @@ class MyGPT(nn.Module):
                         nb_heads=nb_heads,
                         causal=causal,
                         attention_dropout=dropout,
+                        amm_generator=amm_generator,
                     ),
                 ),
                 WithResidual(