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Replace norm on input layer with scale of 0.1.

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This commit is contained in:
Daniel Povey 2022-03-07 11:24:04 +08:00
parent a37d98463a
commit e2ace9d545
2 changed files with 2 additions and 3 deletions
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3
egs/librispeech/ASR/conformer_ctc/subsampling.py
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@ -58,7 +58,6 @@ class Conv2dSubsampling(nn.Module):
ExpScaleRelu(odim, 1, 1, speed=20.0), ExpScaleRelu(odim, 1, 1, speed=20.0),
) )
self.out = nn.Linear(odim * (((idim - 1) // 2 - 1) // 2), odim) self.out = nn.Linear(odim * (((idim - 1) // 2 - 1) // 2), odim)
self.out_norm = nn.LayerNorm(odim, elementwise_affine=False)
def forward(self, x: torch.Tensor) -> torch.Tensor: def forward(self, x: torch.Tensor) -> torch.Tensor:
"""Subsample x. """Subsample x.
@ -77,7 +76,7 @@ class Conv2dSubsampling(nn.Module):
b, c, t, f = x.size() b, c, t, f = x.size()
x = self.out(x.transpose(1, 2).contiguous().view(b, t, c * f)) x = self.out(x.transpose(1, 2).contiguous().view(b, t, c * f))
# Now x is of shape (N, ((T-1)//2 - 1))//2, odim) # Now x is of shape (N, ((T-1)//2 - 1))//2, odim)
x = self.out_norm(x) x = x * 0.1
return x return x

2
egs/librispeech/ASR/transducer_stateless/train.py
View File

@ -110,7 +110,7 @@ def get_parser():
parser.add_argument( parser.add_argument(
"--exp-dir", "--exp-dir",
type=str, type=str,
default="transducer_stateless/specaugmod_baseline_randcombine1_expscale3_brelu2swish2", default="transducer_stateless/specaugmod_baseline_randcombine1_expscale3_brelu2swish2_0.1",
help="""The experiment dir. help="""The experiment dir.
It specifies the directory where all training related It specifies the directory where all training related
files, e.g., checkpoints, log, etc, are saved files, e.g., checkpoints, log, etc, are saved