From eb239cb6347b312663cb0ac26e5f656080d293f5 Mon Sep 17 00:00:00 2001
From: zr_jin <zengrui.jin0@gmail.com>
Date: Mon, 21 Oct 2024 11:34:46 +0800
Subject: [PATCH] minor fixes for the repo

---
 egs/speech_llm/ASR_LLM/whisper_llm_zh/label_smoothing.py | 1 +
 icefall/utils.py                                         | 9 ++++-----
 2 files changed, 5 insertions(+), 5 deletions(-)
 create mode 120000 egs/speech_llm/ASR_LLM/whisper_llm_zh/label_smoothing.py

diff --git a/egs/speech_llm/ASR_LLM/whisper_llm_zh/label_smoothing.py b/egs/speech_llm/ASR_LLM/whisper_llm_zh/label_smoothing.py
new file mode 120000
index 000000000..e9d239fff
--- /dev/null
+++ b/egs/speech_llm/ASR_LLM/whisper_llm_zh/label_smoothing.py
@@ -0,0 +1 @@
+../../../librispeech/ASR/conformer_ctc/label_smoothing.py
\ No newline at end of file
diff --git a/icefall/utils.py b/icefall/utils.py
index b0a42cefa..7b1301faf 100644
--- a/icefall/utils.py
+++ b/icefall/utils.py
@@ -2282,13 +2282,12 @@ def time_warp(
     time_warp_factor: Optional[int] = 80,
     supervision_segments: Optional[torch.Tensor] = None,
 ):
-    """Apply time warping on a batch of features
-    """
+    """Apply time warping on a batch of features"""
     if time_warp_factor is None or time_warp_factor < 1:
         return features
-    assert len(features.shape) == 3, (
-        "SpecAugment only supports batches of single-channel feature matrices."
-    )
+    assert (
+        len(features.shape) == 3
+    ), "SpecAugment only supports batches of single-channel feature matrices."
     features = features.clone()
     if supervision_segments is None:
         # No supervisions - apply spec augment to full feature matrices.