Next version. Models + scripts updated. 2
This commit is contained in:
@@ -41,7 +41,11 @@ class JointRouteTransformerRegressor(nn.Module):
|
||||
batch_first=True,
|
||||
norm_first=True,
|
||||
)
|
||||
self.encoder = nn.TransformerEncoder(encoder_layer, num_layers=num_layers)
|
||||
self.encoder = nn.TransformerEncoder(
|
||||
encoder_layer,
|
||||
num_layers=num_layers,
|
||||
enable_nested_tensor=False,
|
||||
)
|
||||
self.norm = nn.LayerNorm(d_model)
|
||||
self.head = nn.Sequential(
|
||||
nn.Linear(d_model, d_model),
|
||||
@@ -96,7 +100,11 @@ class JointRouteGPT(nn.Module):
|
||||
batch_first=True,
|
||||
norm_first=True,
|
||||
)
|
||||
self.blocks = nn.TransformerEncoder(layer, num_layers=n_layer)
|
||||
self.blocks = nn.TransformerEncoder(
|
||||
layer,
|
||||
num_layers=n_layer,
|
||||
enable_nested_tensor=False,
|
||||
)
|
||||
self.ln_f = nn.LayerNorm(n_embd)
|
||||
self.lm_head = nn.Linear(n_embd, vocab_size, bias=False)
|
||||
self.lm_head.weight = self.token_emb.weight
|
||||
|
||||
Reference in New Issue
Block a user