From 9f4bb0a0ee2e0c4e48fa06156ece67603b3098d7 Mon Sep 17 00:00:00 2001
From: R1ckShi <2698127294@qq.com>
Date: 星期二, 31 一月 2023 15:32:15 +0800
Subject: [PATCH] egs for paraformer-tiny
---
funasr/models/encoder/conformer_encoder.py | 10 +++++++++-
1 files changed, 9 insertions(+), 1 deletions(-)
diff --git a/funasr/models/encoder/conformer_encoder.py b/funasr/models/encoder/conformer_encoder.py
index 2df2ba6..7c7f661 100644
--- a/funasr/models/encoder/conformer_encoder.py
+++ b/funasr/models/encoder/conformer_encoder.py
@@ -41,7 +41,7 @@
from funasr.modules.subsampling import Conv2dSubsampling8
from funasr.modules.subsampling import TooShortUttError
from funasr.modules.subsampling import check_short_utt
-
+from funasr.modules.subsampling import Conv2dSubsamplingPad
class ConvolutionModule(nn.Module):
"""ConvolutionModule in Conformer model.
@@ -386,6 +386,13 @@
dropout_rate,
pos_enc_class(output_size, positional_dropout_rate),
)
+ elif input_layer == "conv2dpad":
+ self.embed = Conv2dSubsamplingPad(
+ input_size,
+ output_size,
+ dropout_rate,
+ pos_enc_class(output_size, positional_dropout_rate),
+ )
elif input_layer == "conv2d2":
self.embed = Conv2dSubsampling2(
input_size,
@@ -546,6 +553,7 @@
or isinstance(self.embed, Conv2dSubsampling2)
or isinstance(self.embed, Conv2dSubsampling6)
or isinstance(self.embed, Conv2dSubsampling8)
+ or isinstance(self.embed, Conv2dSubsamplingPad)
):
short_status, limit_size = check_short_utt(self.embed, xs_pad.size(1))
if short_status:
--
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