From 2acef4bdaea588adee3098a057a395937dff4e6a Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期一, 08 一月 2024 16:51:42 +0800
Subject: [PATCH] json stamp_sents for websocket-server
---
funasr/models/e2e_uni_asr.py | 5 +++--
1 files changed, 3 insertions(+), 2 deletions(-)
diff --git a/funasr/models/e2e_uni_asr.py b/funasr/models/e2e_uni_asr.py
index 9ec3a39..14fb7f3 100644
--- a/funasr/models/e2e_uni_asr.py
+++ b/funasr/models/e2e_uni_asr.py
@@ -8,7 +8,6 @@
from typing import Union
import torch
-from typeguard import check_argument_types
from funasr.models.e2e_asr_common import ErrorCalculator
from funasr.modules.nets_utils import th_accuracy
@@ -82,7 +81,6 @@
postencoder: Optional[AbsPostEncoder] = None,
encoder1_encoder2_joint_training: bool = True,
):
- assert check_argument_types()
assert 0.0 <= ctc_weight <= 1.0, ctc_weight
assert 0.0 <= interctc_weight < 1.0, interctc_weight
@@ -169,6 +167,7 @@
self.enable_maas_finetune = enable_maas_finetune
self.freeze_encoder2 = freeze_encoder2
self.encoder1_encoder2_joint_training = encoder1_encoder2_joint_training
+ self.length_normalized_loss = length_normalized_loss
def forward(
self,
@@ -442,6 +441,8 @@
stats["loss2"] = torch.clone(loss2.detach())
stats["loss"] = torch.clone(loss.detach())
# force_gatherable: to-device and to-tensor if scalar for DataParallel
+ if self.length_normalized_loss:
+ batch_size = int((text_lengths + 1).sum())
loss, stats, weight = force_gatherable((loss, stats, batch_size), loss.device)
return loss, stats, weight
--
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