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pelu_base->expscale, add 2xExpScale in subsampling, and in feedforward units.

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This commit is contained in:
Daniel Povey 2022-03-03 23:52:03 +08:00
parent 3fb559d2f0
commit 5c177fc52b
3 changed files with 15 additions and 2 deletions
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11
egs/librispeech/ASR/conformer_ctc/subsampling.py
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@ -48,10 +48,12 @@ class Conv2dSubsampling(nn.Module):
in_channels=1, out_channels=odim, kernel_size=3, stride=2
),
nn.ReLU(),
ExpScale(odim, 1, 1, speed=2.0),
nn.Conv2d(
in_channels=odim, out_channels=odim, kernel_size=3, stride=2
),
nn.ReLU(),
ExpScale(odim, 1, 1, speed=2.0),
)
self.out = nn.Linear(odim * (((idim - 1) // 2 - 1) // 2), odim)
self.out_norm = nn.LayerNorm(odim, elementwise_affine=False)
@ -195,3 +197,12 @@ class PeLU(torch.nn.Module):
self.alpha = alpha
def forward(self, x: Tensor) -> Tensor:
return PeLUFunction.apply(x, self.cutoff, self.alpha)
class ExpScale(torch.nn.Module):
def __init__(self, *shape, speed: float = 1.0):
super(ExpScale, self).__init__()
self.scale = nn.Parameter(torch.zeros(*shape))
self.speed = speed
def forward(self, x: Tensor) -> Tensor:
return x * (self.scale * self.speed).exp()

4
egs/librispeech/ASR/transducer_stateless/conformer.py
View File

@ -19,7 +19,7 @@ import copy
import math
import warnings
from typing import Optional, Tuple, Sequence
from subsampling import PeLU
from subsampling import PeLU, ExpScale
import torch
from torch import Tensor, nn
@ -157,6 +157,7 @@ class ConformerEncoderLayer(nn.Module):
self.feed_forward = nn.Sequential(
nn.Linear(d_model, dim_feedforward),
Swish(),
ExpScale(dim_feedforward, speed=2.0),
nn.Dropout(dropout),
nn.Linear(dim_feedforward, d_model),
)
@ -164,6 +165,7 @@ class ConformerEncoderLayer(nn.Module):
self.feed_forward_macaron = nn.Sequential(
nn.Linear(d_model, dim_feedforward),
Swish(),
ExpScale(dim_feedforward, speed=2.0),
nn.Dropout(dropout),
nn.Linear(dim_feedforward, d_model),
)

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

@ -110,7 +110,7 @@ def get_parser():
parser.add_argument(
"--exp-dir",
type=str,
default="transducer_stateless/specaugmod_baseline_randcombine1_pelu_base",
default="transducer_stateless/specaugmod_baseline_randcombine1_expscale",
help="""The experiment dir.
It specifies the directory where all training related
files, e.g., checkpoints, log, etc, are saved