From e6d127b0c92543db4f988149687db2bac4e41f33 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 09 二月 2023 17:53:48 +0800
Subject: [PATCH] readme

---
 funasr/models/predictor/cif.py |   11 +++++++----
 1 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/funasr/models/predictor/cif.py b/funasr/models/predictor/cif.py
index 60cf902..c34759d 100644
--- a/funasr/models/predictor/cif.py
+++ b/funasr/models/predictor/cif.py
@@ -68,7 +68,8 @@
             mask_2 = torch.cat([ones_t, mask], dim=1)
             mask = mask_2 - mask_1
             tail_threshold = mask * tail_threshold
-            alphas = torch.cat([alphas, tail_threshold], dim=1)
+            alphas = torch.cat([alphas, zeros_t], dim=1)
+            alphas = torch.add(alphas, tail_threshold)
         else:
             tail_threshold = torch.tensor([tail_threshold], dtype=alphas.dtype).to(alphas.device)
             tail_threshold = torch.reshape(tail_threshold, (1, 1))
@@ -208,7 +209,8 @@
             mask_2 = torch.cat([ones_t, mask], dim=1)
             mask = mask_2 - mask_1
             tail_threshold = mask * tail_threshold
-            alphas = torch.cat([alphas, tail_threshold], dim=1)
+            alphas = torch.cat([alphas, zeros_t], dim=1)
+            alphas = torch.add(alphas, tail_threshold)
         else:
             tail_threshold = torch.tensor([tail_threshold], dtype=alphas.dtype).to(alphas.device)
             tail_threshold = torch.reshape(tail_threshold, (1, 1))
@@ -596,7 +598,8 @@
             mask_2 = torch.cat([ones_t, mask], dim=1)
             mask = mask_2 - mask_1
             tail_threshold = mask * tail_threshold
-            alphas = torch.cat([alphas, tail_threshold], dim=1)
+            alphas = torch.cat([alphas, zeros_t], dim=1)
+            alphas = torch.add(alphas, tail_threshold)
         else:
             tail_threshold = torch.tensor([tail_threshold], dtype=alphas.dtype).to(alphas.device)
             tail_threshold = torch.reshape(tail_threshold, (1, 1))
@@ -654,4 +657,4 @@
 
         predictor_alignments = index_div_bool_zeros_count_tile_out
         predictor_alignments_length = predictor_alignments.sum(-1).type(encoder_sequence_length.dtype)
-        return predictor_alignments.detach(), predictor_alignments_length.detach()
\ No newline at end of file
+        return predictor_alignments.detach(), predictor_alignments_length.detach()

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