From 33d3d2084403fd34b79c835d2f2fe04f6cd8f738 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 13 九月 2023 09:33:54 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR add

---
 funasr/models/frontend/windowing.py |    9 +--------
 1 files changed, 1 insertions(+), 8 deletions(-)

diff --git a/funasr/models/frontend/windowing.py b/funasr/models/frontend/windowing.py
index 7c4c568..94c9d27 100644
--- a/funasr/models/frontend/windowing.py
+++ b/funasr/models/frontend/windowing.py
@@ -6,18 +6,15 @@
 
 from funasr.models.frontend.abs_frontend import AbsFrontend
 import torch
-from typeguard import check_argument_types
 from typing import Tuple
 
 
 class SlidingWindow(AbsFrontend):
     """Sliding Window.
-
     Provides a sliding window over a batched continuous raw audio tensor.
     Optionally, provides padding (Currently not implemented).
     Combine this module with a pre-encoder compatible with raw audio data,
     for example Sinc convolutions.
-
     Known issues:
     Output length is calculated incorrectly if audio shorter than win_length.
     WARNING: trailing values are discarded - padding not implemented yet.
@@ -33,7 +30,6 @@
         fs=None,
     ):
         """Initialize.
-
         Args:
             win_length: Length of frame.
             hop_length: Relative starting point of next frame.
@@ -41,7 +37,6 @@
             padding: Padding (placeholder, currently not implemented).
             fs:  Sampling rate (placeholder for compatibility, not used).
         """
-        assert check_argument_types()
         super().__init__()
         self.fs = fs
         self.win_length = win_length
@@ -53,11 +48,9 @@
         self, input: torch.Tensor, input_lengths: torch.Tensor
     ) -> Tuple[torch.Tensor, torch.Tensor]:
         """Apply a sliding window on the input.
-
         Args:
             input: Input (B, T, C*D) or (B, T*C*D), with D=C=1.
             input_lengths: Input lengths within batch.
-
         Returns:
             Tensor: Output with dimensions (B, T, C, D), with D=win_length.
             Tensor: Output lengths within batch.
@@ -78,4 +71,4 @@
 
     def output_size(self) -> int:
         """Return output length of feature dimension D, i.e. the window length."""
-        return self.win_length
+        return self.win_length
\ No newline at end of file

--
Gitblit v1.9.1