From 3b62d298013c7b940aec7cab0f74fb5118493f99 Mon Sep 17 00:00:00 2001 From: Francois Fleuret Date: Mon, 8 Aug 2022 07:13:54 +0200 Subject: [PATCH] Added the small weight embedding + id layer norm inits. --- mygpt.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/mygpt.py b/mygpt.py index 3bce361..ebc9a83 100755 --- a/mygpt.py +++ b/mygpt.py @@ -97,10 +97,6 @@ class MyGPT(nn.Module): AddPositionalEncoding(len_max), ) - # Small embedding initialization - with torch.no_grad(): - self.embedding[0].weight.normal_(0, 2e-2) - trunk_blocks = [ ] for _ in range(nb_blocks): @@ -128,6 +124,14 @@ class MyGPT(nn.Module): self.readout = nn.Linear(in_features = dim_model, out_features = vocabulary_size) + with torch.no_grad(): + for m in self.modules(): + if isinstance(m, nn.Embedding): + m.weight.normal_(mean = 0, std = 2e-2) + elif isinstance(m, nn.LayerNorm): + m.bias.zero_() + m.weight.fill_(1.0) + def forward(self, x): x = F.pad(x, (1, -1)) x = self.embedding(x) -- 2.39.5