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Replace norm in ConvolutionModule with a scaling factor.

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This commit is contained in:
Daniel Povey 2022-03-10 16:01:53 +08:00
parent 87b843f023
commit 425e274c82
2 changed files with 4 additions and 3 deletions
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5
egs/librispeech/ASR/transducer_stateless/conformer.py
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@ -857,7 +857,8 @@ class ConvolutionModule(nn.Module):
bias=bias, bias=bias,
) )
self.norm = nn.LayerNorm(channels) self.scale = ExpScale(1, speed=10.0, initial_scale=1.0)
# shape: (channels, 1), broadcasts with (batch, channel, time). # shape: (channels, 1), broadcasts with (batch, channel, time).
self.activation = SwishOffset() self.activation = SwishOffset()
@ -891,7 +892,7 @@ class ConvolutionModule(nn.Module):
x = self.depthwise_conv(x) x = self.depthwise_conv(x)
# x is (batch, channels, time) # x is (batch, channels, time)
x = x.permute(0, 2, 1) x = x.permute(0, 2, 1)
x = self.norm(x) x = self.scale(x)
x = x.permute(0, 2, 1) x = x.permute(0, 2, 1)
x = self.activation(x) x = self.activation(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_0.1_bnorm", default="transducer_stateless/specaugmod_baseline_randcombine1_expscale3_brelu2swish2_0.1_bnorm2",
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