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Add learnable post-scale for mha

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This commit is contained in:
Daniel Povey 2022-03-12 11:19:49 +08:00
parent 7eb5a84cbe
commit 76a2b9d362
2 changed files with 3 additions and 9 deletions
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10
egs/librispeech/ASR/transducer_stateless/conformer.py
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@ -177,6 +177,7 @@ class ConformerEncoderLayer(nn.Module):
self.conv_module = ConvolutionModule(d_model, cnn_module_kernel) self.conv_module = ConvolutionModule(d_model, cnn_module_kernel)
self.scale_mha = ExpScale(1, speed=10.0, initial_scale=0.2) self.scale_mha = ExpScale(1, speed=10.0, initial_scale=0.2)
self.post_scale_mha = ExpScale(1, speed=10.0, initial_scale=1.0)
self.scale_conv = ExpScale(1, speed=10.0, initial_scale=0.5) self.scale_conv = ExpScale(1, speed=10.0, initial_scale=0.5)
self.scale_ff = ExpScale(1, speed=10.0, initial_scale=0.5) self.scale_ff = ExpScale(1, speed=10.0, initial_scale=0.5)
self.scale_ff_macaron = ExpScale(1, speed=10.0, initial_scale=0.5) self.scale_ff_macaron = ExpScale(1, speed=10.0, initial_scale=0.5)
@ -230,14 +231,7 @@ class ConformerEncoderLayer(nn.Module):
attn_mask=src_mask, attn_mask=src_mask,
key_padding_mask=src_key_padding_mask, key_padding_mask=src_key_padding_mask,
)[0] )[0]
# natural rms scale of mha output is about 2 to 6. scaling down by 0.1 takes it src = residual + post_scale_mha(self.dropout(src_att))
# to 0.2 to 0.6, which is suitable to add to the inputs assuming the output
# of the previous convolution layer had a magnitude of around 1.0
# (this magnitude of 1.0, or a bit less, like 0.3, is learned but is
# dictated by considerations of what is done to the output of the
# encoder.
post_scale_mha = 0.1
src = residual + post_scale_mha * self.dropout(src_att)
# convolution module # convolution module
src = src + self.dropout(self.conv_module(self.scale_conv(src))) src = src + self.dropout(self.conv_module(self.scale_conv(src)))

2
egs/librispeech/ASR/transducer_stateless/train.py
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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/randcombine1_expscale3_rework_2.0", default="transducer_stateless/randcombine1_expscale3_rework_2.0_b",
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