From 5f6b801d417377321e719ba2422e4e753412fedc Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 9 Jan 2023 19:29:16 +0900
Subject: [PATCH] from local

---
 .../ASR/incremental_transf/.conformer.py.swp  | Bin 102400 -> 102400 bytes
 .../ASR/incremental_transf/.model.py.swp      | Bin 24576 -> 24576 bytes
 .../ASR/incremental_transf/model.py           |   9 +--------
 3 files changed, 1 insertion(+), 8 deletions(-)

diff --git a/egs/librispeech/ASR/incremental_transf/.conformer.py.swp b/egs/librispeech/ASR/incremental_transf/.conformer.py.swp
index 1022b3fd465710df464b5781422f793ab4b03d38..6a437dbfe2a3ba83ec8da0bef1d905b7dfc8655e 100644
GIT binary patch
delta 35
pcmZozz}B#UO*F|M%+puFQqO<^2m}}y!r$ypE@%|pD$4k}9{{WZ3R3_8

delta 35
pcmZozz}B#UO*F|M%+puFQqO<^2m}}yY~SooR%sO7D$4k}9{{Lo3GDy?

diff --git a/egs/librispeech/ASR/incremental_transf/.model.py.swp b/egs/librispeech/ASR/incremental_transf/.model.py.swp
index 07073948764c860cee522a869f6097751b18f748..e962e6a454349ce999d2f737cf23904333aa0225 100644
GIT binary patch
delta 305
zcmXBOzb`{!6vpxAwr)!kX$@@{s0f3Iy52^^O(Y#GhDz>YQW9(;(bdnpNUZW2ZDJJR
zWx$~E7g#M8i$NkR#N<m)@=4Bf&ho@fFK&8;<zRlc)<0DW#N?!{x4V`7uZu#M^CB1J
zT(Pq+DebnkzLD(;&i9To(g8NHjw(uc?vNgEjaAf8!E3v8ibKqxj3OS>(ml?wfGmDe
z(iPSaVG{4Ybb}p)zKn)hy75V^54^zQujT~u_@?#~ZgK1y<6{Y1H3N3Z^xC-W+ijC4
jr~h;7mg3f98)ndMm{B)Zzf8Er%5>6ZM>6gttPlMHl5jpI

delta 257
zcmXBOF-QVo0LAh5nWv`^oQp$?hByU!MS&ho4uXS71mYxA(iYJk+|8|0W2>Xc2RXQy
zw7R&sw&ZYIR8v9yp$9*B@Rk?NO*A+8bHCea7wZ*Y#FLis>|*^j$p@b4*%Qwewv!1d
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v!;d39IXci4<rD$llhO<!j<JUwd~*2%Z@9NN`_+VfJp6X7TOJtu8<_GRi|8+L

diff --git a/egs/librispeech/ASR/incremental_transf/model.py b/egs/librispeech/ASR/incremental_transf/model.py
index e12874a6d..bd0f4ee7f 100644
--- a/egs/librispeech/ASR/incremental_transf/model.py
+++ b/egs/librispeech/ASR/incremental_transf/model.py
@@ -242,14 +242,7 @@ class Interformer(nn.Module):
         self,
         x: torch.Tensor,
         x_lens: torch.Tensor,
-        y: k2.RaggedTensor,
-        prune_range: int = 5,
-        am_scale: float = 0.0,
-        lm_scale: float = 0.0,
-        warmup: float = 1.0,
-        reduction: str = "sum",
-        delay_penalty: float = 0.0,
-    ) -> Tuple[torch.Tensor, torch.Tensor]:
+    ):
         """
         Args:
           x: