From 03bd69cb9fbbe7f32ad529d73b15ae51bc896a23 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Fri, 20 Jan 2023 13:56:53 +0900
Subject: [PATCH] from local

---
 .../ASR/conformer_ctc2/.train.py.swp          | Bin 53248 -> 53248 bytes
 egs/librispeech/ASR/conformer_ctc2/train.py   |   3 ++-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/conformer_ctc2/.train.py.swp b/egs/librispeech/ASR/conformer_ctc2/.train.py.swp
index 03759765bdbb18354fff759ace5772a2c23acc0b..122573310a9b77ee775772df2bb09ae3ef35e6dc 100644
GIT binary patch
delta 563
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delta 566
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diff --git a/egs/librispeech/ASR/conformer_ctc2/train.py b/egs/librispeech/ASR/conformer_ctc2/train.py
index 99637a0b5..86e5fb7e9 100755
--- a/egs/librispeech/ASR/conformer_ctc2/train.py
+++ b/egs/librispeech/ASR/conformer_ctc2/train.py
@@ -685,7 +685,8 @@ def train_one_epoch(
         params.batch_idx_train += 1
         batch_size = len(batch["supervisions"]["text"])
         #print(batch["supervisions"])
-        batch_name = batch["supervisions"]["id"]
+        #batch_name = batch["supervisions"]["id"]
+        batch_name = str(batch_idx)
 
         with torch.cuda.amp.autocast(enabled=params.use_fp16):
             loss, loss_info = compute_loss(