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Reduce initial_scale.

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This commit is contained in:
Daniel Povey 2022-03-12 18:50:02 +08:00
parent b7b2d8970b
commit db7a3b6eea
1 changed files with 2 additions and 2 deletions
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egs/librispeech/ASR/transducer_stateless/conformer.py
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@ -421,7 +421,7 @@ class RelPositionMultiheadAttention(nn.Module):
), "embed_dim must be divisible by num_heads" ), "embed_dim must be divisible by num_heads"
self.in_proj = ScaledLinear(embed_dim, 3 * embed_dim, bias=True) self.in_proj = ScaledLinear(embed_dim, 3 * embed_dim, bias=True)
self.out_proj = ScaledLinear(embed_dim, embed_dim, bias=True) self.out_proj = ScaledLinear(embed_dim, embed_dim, bias=True, initial_scale=0.25)
# linear transformation for positional encoding. # linear transformation for positional encoding.
self.linear_pos = ScaledLinear(embed_dim, embed_dim, bias=False) self.linear_pos = ScaledLinear(embed_dim, embed_dim, bias=False)
@ -869,7 +869,7 @@ class ConvolutionModule(nn.Module):
stride=1, stride=1,
padding=0, padding=0,
bias=bias, bias=bias,
initial_scale=0.5 initial_scale=0.25
) )
def forward(self, x: Tensor) -> Tensor: def forward(self, x: Tensor) -> Tensor: