From cdd062a4fea7f7191dec174b1c94ce36a29700de Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 9 Jan 2023 19:28:14 +0900
Subject: [PATCH] from local

---
 .../ASR/incremental_transf/.conformer.py.swp  | Bin 102400 -> 102400 bytes
 .../ASR/incremental_transf/conformer.py       |   4 ++--
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/egs/librispeech/ASR/incremental_transf/.conformer.py.swp b/egs/librispeech/ASR/incremental_transf/.conformer.py.swp
index b1b0db93df1984a5df316b2475c9009d45097ec8..346de450b5d70ff3b3a6b641075e5735eeb77f43 100644
GIT binary patch
delta 360
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delta 355
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diff --git a/egs/librispeech/ASR/incremental_transf/conformer.py b/egs/librispeech/ASR/incremental_transf/conformer.py
index 98605c791..252cb2e3c 100644
--- a/egs/librispeech/ASR/incremental_transf/conformer.py
+++ b/egs/librispeech/ASR/incremental_transf/conformer.py
@@ -136,8 +136,8 @@ class Conformer(EncoderInterface):
         self._init_state: List[torch.Tensor] = [torch.empty(0)]
 
     def forward(
-        self, x: torch.Tensor, x_lens: torch.Tensor, warmup: float = 1.0, layer_output = False,
-    ) -> Tuple[torch.Tensor, torch.Tensor]:
+        self, x: torch.Tensor, x_lens: torch.Tensor, warmup: float = 1.0, get_layer_output = False,
+    ) -> Tuple[torch.Tensor, torch.Tensor, Optional[List[torch.Tensor]]]:
         """
         Args:
           x: