From d2a64f2137ac23d1951fd2fa25b6053bba6f7873 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 15 五月 2023 11:23:33 +0800
Subject: [PATCH] update repo
---
funasr/models/predictor/cif.py | 9 ---------
1 files changed, 0 insertions(+), 9 deletions(-)
diff --git a/funasr/models/predictor/cif.py b/funasr/models/predictor/cif.py
index deff6e4..e80a915 100644
--- a/funasr/models/predictor/cif.py
+++ b/funasr/models/predictor/cif.py
@@ -228,13 +228,6 @@
if cache["cif_alphas"] is not None:
alphas = torch.cat((cache["cif_alphas"], alphas), -1)
- #if cache["is_final"]:
- # tail_threshold = torch.tensor([self.tail_threshold], dtype=alphas.dtype).to(alphas.device)
- # tail_threshold = torch.reshape(tail_threshold, (1, 1))
- # alphas = torch.cat([alphas, tail_threshold], dim=1)
- # zeros_hidden = torch.zeros((b, 1, d), dtype=hidden.dtype).to(hidden.device)
- # hidden = torch.cat([hidden, zeros_hidden], dim=1)
-
token_num = alphas.sum(-1)
acoustic_embeds, cif_peak = cif(hidden, alphas, self.threshold)
len_time = alphas.size(-1)
@@ -250,8 +243,6 @@
pre_alphas_length = cache["cif_alphas"].size(-1)
mask_chunk_peak_predictor[:, :pre_alphas_length] = 1.0
mask_chunk_peak_predictor[:, pre_alphas_length + cache["pad_left"]:pre_alphas_length + cache["stride"] + cache["pad_left"]] = 1.0
- #if cache["is_final"]:
- # mask_chunk_peak_predictor[:, -1] = 1.0
if mask_chunk_peak_predictor is not None:
cif_peak = cif_peak * mask_chunk_peak_predictor.squeeze(-1)
--
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