X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;ds=sidebyside;f=mygpt.py;h=d0fda7e4182878043e74a260f0676654fc12193f;hb=eaed6307836d88abe7c0f4be733a38364ba20e2f;hp=7119c7a4ef12d49d0f1e164a0839437496d955af;hpb=bfcef9a8c82ed45528601e85725166241bbee916;p=culture.git

diff --git a/mygpt.py b/mygpt.py
index 7119c7a..d0fda7e 100755
--- a/mygpt.py
+++ b/mygpt.py
@@ -201,6 +201,26 @@ class QKVAttention(nn.Module):
 ##############################
 
 
+class NoiseInjector(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.noise_std = 0.0
+
+    def forward(self, x):
+        if self.noise_std > 0:
+            x = x + torch.randn(x.size(), device=x.device) * self.noise_std
+        return x
+
+
+def set_noise_injection(model, noise_std):
+    for m in model.modules():
+        if isinstance(m, NoiseInjector):
+            m.noise_std = noise_std
+
+
+##############################
+
+
 class MyGPT(nn.Module):
     def __init__(
         self,
@@ -228,7 +248,10 @@ class MyGPT(nn.Module):
         for b in range(nb_blocks):
             trunk_blocks += [
                 WithResidual(
-                    CacheWrapper(nn.LayerNorm((dim_model,))),
+                    CacheWrapper(
+                        nn.LayerNorm((dim_model,)),
+                        NoiseInjector(),
+                    ),
                     QKVAttention(
                         dim_in=dim_model,
                         dim_qk=dim_keys,
@@ -241,6 +264,7 @@ class MyGPT(nn.Module):
                 WithResidual(
                     CacheWrapper(
                         nn.LayerNorm((dim_model,)),
+                        NoiseInjector(),
                         nn.Linear(in_features=dim_model, out_features=dim_hidden),
                         nn.ReLU(),
                         nn.Linear(in_features=dim_hidden, out_features=dim_model),