From: Francois Fleuret <francois@fleuret.org>
Date: Fri, 29 Jul 2022 08:07:59 +0000 (+0200)
Subject: OCDC
X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=b6a9cc237cdadac2351814f92c20607d46b0f583;p=mygpt.git

OCDC
---

diff --git a/mygpt.py b/mygpt.py
index 9da2e68..954f4f0 100755
--- a/mygpt.py
+++ b/mygpt.py
@@ -24,14 +24,12 @@ class WithResidual(nn.Module):
 
 ##############################
 
-class PositionalEncoding(nn.Module):
+class AddPositionalEncoding(nn.Module):
     def __init__(self, len_max):
         super().__init__()
         self.len_max = len_max
 
-    # From Vaswani et al 2018
-    # PE_{t,2i}   = sin(t/(L^{2i/D}))
-    # PE_{t,2i+1} = cos(t/(L^{2i/D}))
+    # [Vaswani et al 2018] PE_{t,2i} = sin(t/(L^{2i/D})), PE_{t,2i+1} = cos(t/(L^{2i/D}))
     def forward(self, x):
         t = torch.arange(x.size(1), dtype = x.dtype, device = x.device)[:, None]
         j = torch.arange(x.size(2), dtype = x.dtype, device = x.device)[None, :]
@@ -96,7 +94,7 @@ class MyGPT(nn.Module):
         self.embedding = nn.Sequential(
             nn.Embedding(vocabulary_size, dim_model),
             nn.Dropout(dropout),
-            PositionalEncoding(len_max),
+            AddPositionalEncoding(len_max),
         )
 
         trunk_blocks = [ ]