From dee1354d0d984df21d16a2eba5bacec31bfb0b4b Mon Sep 17 00:00:00 2001
From: 维石 <shixian.shi@alibaba-inc.com>
Date: 星期五, 19 四月 2024 14:57:31 +0800
Subject: [PATCH] empty result bug fix
---
funasr/models/paraformer/model.py | 6 +++---
1 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/funasr/models/paraformer/model.py b/funasr/models/paraformer/model.py
index 316255d..6c7957c 100644
--- a/funasr/models/paraformer/model.py
+++ b/funasr/models/paraformer/model.py
@@ -181,15 +181,12 @@
text: (Batch, Length)
text_lengths: (Batch,)
"""
- # import pdb;
- # pdb.set_trace()
if len(text_lengths.size()) > 1:
text_lengths = text_lengths[:, 0]
if len(speech_lengths.size()) > 1:
speech_lengths = speech_lengths[:, 0]
batch_size = speech.shape[0]
-
# Encoder
encoder_out, encoder_out_lens = self.encode(speech, speech_lengths)
@@ -231,6 +228,7 @@
stats["loss_pre"] = loss_pre.detach().cpu() if loss_pre is not None else None
stats["loss"] = torch.clone(loss.detach())
+ stats["batch_size"] = batch_size
# force_gatherable: to-device and to-tensor if scalar for DataParallel
if self.length_normalized_loss:
@@ -474,6 +472,8 @@
speech = speech.to(device=kwargs["device"])
speech_lengths = speech_lengths.to(device=kwargs["device"])
# Encoder
+ if kwargs.get("fp16", False):
+ speech = speech.half()
encoder_out, encoder_out_lens = self.encode(speech, speech_lengths)
if isinstance(encoder_out, tuple):
encoder_out = encoder_out[0]
--
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