Update.

[mygpt.git] / mygpt.py

diff --git a/mygpt.py b/mygpt.py
index d6879dc..9da2e68 100755 (executable)
--- a/mygpt.py
+++ b/mygpt.py
@@ -14,7 +14,7 @@ from torch.nn import functional as F
 
 ##############################
 
-class Residual(nn.Module):
+class WithResidual(nn.Module):
     def __init__(self, *f):
         super().__init__()
         self.f = f[0] if len(f) == 1 else nn.Sequential(*f)
@@ -103,7 +103,7 @@ class MyGPT(nn.Module):
 
         for _ in range(nb_blocks):
             trunk_blocks += [
-                Residual(
+                WithResidual(
                     nn.LayerNorm((dim_model,)),
                     QKVAttention(
                         dim_in = dim_model,
@@ -113,7 +113,7 @@ class MyGPT(nn.Module):
                         causal = True, attention_dropout = dropout
                     ),
                 ),
-                Residual(
+                WithResidual(
                     nn.LayerNorm((dim_model,)),
                     nn.Linear(in_features = dim_model, out_features = dim_hidden),
                     nn.ReLU(),