From 429995f4d007adba9099196a868c65a5b6cf14a5 Mon Sep 17 00:00:00 2001
From: aky15 <ankeyu.aky@11.17.44.249>
Date: 星期三, 17 五月 2023 17:38:49 +0800
Subject: [PATCH] Merge branch 'dev_infer' of https://github.com/alibaba-damo-academy/FunASR into dev_infer
---
funasr/models/encoder/sanm_encoder.py | 11 +----------
1 files changed, 1 insertions(+), 10 deletions(-)
diff --git a/funasr/models/encoder/sanm_encoder.py b/funasr/models/encoder/sanm_encoder.py
index e071e57..da67586 100644
--- a/funasr/models/encoder/sanm_encoder.py
+++ b/funasr/models/encoder/sanm_encoder.py
@@ -355,18 +355,9 @@
def _add_overlap_chunk(self, feats: np.ndarray, cache: dict = {}):
if len(cache) == 0:
return feats
- # process last chunk
cache["feats"] = to_device(cache["feats"], device=feats.device)
overlap_feats = torch.cat((cache["feats"], feats), dim=1)
- if cache["is_final"]:
- cache["feats"] = overlap_feats[:, -cache["chunk_size"][0]:, :]
- if not cache["last_chunk"]:
- padding_length = sum(cache["chunk_size"]) - overlap_feats.shape[1]
- overlap_feats = overlap_feats.transpose(1, 2)
- overlap_feats = F.pad(overlap_feats, (0, padding_length))
- overlap_feats = overlap_feats.transpose(1, 2)
- else:
- cache["feats"] = overlap_feats[:, -(cache["chunk_size"][0] + cache["chunk_size"][2]):, :]
+ cache["feats"] = overlap_feats[:, -(cache["chunk_size"][0] + cache["chunk_size"][2]):, :]
return overlap_feats
def forward_chunk(self,
--
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