Increase scale on Scale from 4 to 20

This commit is contained in:
Daniel Povey 2022-03-04 13:16:40 +08:00
parent 503f8d521c
commit 3207bd98a9
3 changed files with 5 additions and 5 deletions

View File

@ -48,12 +48,12 @@ class Conv2dSubsampling(nn.Module):
in_channels=1, out_channels=odim, kernel_size=3, stride=2 in_channels=1, out_channels=odim, kernel_size=3, stride=2
), ),
nn.ReLU(), nn.ReLU(),
ExpScale(odim, 1, 1, speed=4.0), ExpScale(odim, 1, 1, speed=20.0),
nn.Conv2d( nn.Conv2d(
in_channels=odim, out_channels=odim, kernel_size=3, stride=2 in_channels=odim, out_channels=odim, kernel_size=3, stride=2
), ),
nn.ReLU(), nn.ReLU(),
ExpScale(odim, 1, 1, speed=4.0), ExpScale(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) self.out_norm = nn.LayerNorm(odim, elementwise_affine=False)

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@ -156,7 +156,7 @@ class ConformerEncoderLayer(nn.Module):
self.feed_forward = nn.Sequential( self.feed_forward = nn.Sequential(
nn.Linear(d_model, dim_feedforward), nn.Linear(d_model, dim_feedforward),
ExpScaleSwish(dim_feedforward, speed=4.0), ExpScaleSwish(dim_feedforward, speed=20.0),
nn.Dropout(dropout), nn.Dropout(dropout),
nn.Linear(dim_feedforward, d_model), nn.Linear(dim_feedforward, d_model),
) )
@ -164,7 +164,7 @@ class ConformerEncoderLayer(nn.Module):
self.feed_forward_macaron = nn.Sequential( self.feed_forward_macaron = nn.Sequential(
nn.Linear(d_model, dim_feedforward), nn.Linear(d_model, dim_feedforward),
Swish(), Swish(),
ExpScaleSwish(dim_feedforward, speed=4.0), ExpScaleSwish(dim_feedforward, speed=20.0),
nn.Dropout(dropout), nn.Dropout(dropout),
nn.Linear(dim_feedforward, d_model), nn.Linear(dim_feedforward, d_model),
) )

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@ -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_expscale2", default="transducer_stateless/specaugmod_baseline_randcombine1_expscale3",
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