From 70645e48072bf193fbf069949f1d2b10fddac8a3 Mon Sep 17 00:00:00 2001
From: pointerhacker <145901472+pointerhacker@users.noreply.github.com>
Date: 星期二, 15 十月 2024 17:50:51 +0800
Subject: [PATCH] 数据并行可能导致的模型训练报错 (#2139)
---
funasr/models/transformer/scorers/ctc.py | 5 +----
1 files changed, 1 insertions(+), 4 deletions(-)
diff --git a/funasr/models/transformer/scorers/ctc.py b/funasr/models/transformer/scorers/ctc.py
index 6639a13..eb19d18 100644
--- a/funasr/models/transformer/scorers/ctc.py
+++ b/funasr/models/transformer/scorers/ctc.py
@@ -7,7 +7,6 @@
from funasr.models.transformer.scorers.ctc_prefix_score import CTCPrefixScoreTH
from funasr.models.transformer.scorers.scorer_interface import BatchPartialScorerInterface
-
class CTCPrefixScorer(BatchPartialScorerInterface):
"""Decoder interface wrapper for CTCPrefixScore."""
@@ -80,9 +79,7 @@
"""
prev_score, state = state
presub_score, new_st = self.impl(y.cpu(), ids.cpu(), state)
- tscore = torch.as_tensor(
- presub_score - prev_score, device=x.device, dtype=x.dtype
- )
+ tscore = torch.as_tensor(presub_score - prev_score, device=x.device, dtype=x.dtype)
return tscore, (presub_score, new_st)
def batch_init_state(self, x: torch.Tensor):
--
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