X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=mygpt.py;fp=mygpt.py;h=45b7b59bc42f5f4c2ab31a92e8ad732e87226086;hb=363ce48d64d1a036b86d29564bf6ad367126c2b1;hp=8cd015297b3f29b037eea0c48d4449c2204b8180;hpb=f680fa1486b0a70c37f0951cedd7b5c56b5808bb;p=picoclvr.git

diff --git a/mygpt.py b/mygpt.py
index 8cd0152..45b7b59 100755
--- a/mygpt.py
+++ b/mygpt.py
@@ -45,6 +45,9 @@ class BracketedSequence:
     def slice(self):
         return self.x[:, self.first : self.first + self.nb]
 
+    def complete(self):
+        return self.first == 0 and self.nb == x.size(1)
+
 
 ######################################################################
 
@@ -120,7 +123,6 @@ class QKVAttention(nn.Module):
         def randw(*d):
             return nn.Parameter(torch.randn(*d) / math.sqrt(d[-1]))
 
-        assert causal, "TODO: Switch off the cache when non-causal!!!"
         self.causal = causal
         self.attention_dropout = attention_dropout
 
@@ -132,6 +134,10 @@ class QKVAttention(nn.Module):
     def forward(self, bs_q):
         x_q = bs_q.x
 
+        assert (
+            self.causal or bs_q.complete()
+        ), "Partial evaluation is only possible for causal models"
+
         if bs_q.first == 0:
             self.cache_k = x_q.new_zeros(
                 x_q.size(0), self.w_k.size(0), x_q.size(1), self.w_k.size(1)