mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-09 01:52:41 +00:00
Increase scale from 20 to 50.
This commit is contained in:
parent
3207bd98a9
commit
7e88999641
@ -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=20.0),
|
ExpScale(odim, 1, 1, speed=50.0),
|
||||||
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=20.0),
|
ExpScale(odim, 1, 1, speed=50.0),
|
||||||
)
|
)
|
||||||
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)
|
||||||
|
@ -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=20.0),
|
ExpScaleSwish(dim_feedforward, speed=50.0),
|
||||||
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=20.0),
|
ExpScaleSwish(dim_feedforward, speed=50.0),
|
||||||
nn.Dropout(dropout),
|
nn.Dropout(dropout),
|
||||||
nn.Linear(dim_feedforward, d_model),
|
nn.Linear(dim_feedforward, d_model),
|
||||||
)
|
)
|
||||||
|
@ -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",
|
default="transducer_stateless/specaugmod_baseline_randcombine1_expscale4",
|
||||||
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
|
||||||
|
Loading…
x
Reference in New Issue
Block a user