From 78ee057a99e8fb3c6ef9c0520a6bbd8c0f651cec Mon Sep 17 00:00:00 2001
From: shixian.shi <shixian.shi@alibaba-inc.com>
Date: 星期二, 06 二月 2024 17:38:58 +0800
Subject: [PATCH] update for funasr-app and bug fix

---
 funasr/datasets/audio_datasets/samplers.py |   15 ++++++++++-----
 1 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/funasr/datasets/audio_datasets/samplers.py b/funasr/datasets/audio_datasets/samplers.py
index 4af35e9..535df5d 100644
--- a/funasr/datasets/audio_datasets/samplers.py
+++ b/funasr/datasets/audio_datasets/samplers.py
@@ -13,6 +13,7 @@
                  buffer_size: int = 30,
                  drop_last: bool = False,
                  shuffle: bool = True,
+                 is_training: bool = True,
                  **kwargs):
         
         self.drop_last = drop_last
@@ -24,10 +25,12 @@
         self.buffer_size = buffer_size
         self.max_token_length = kwargs.get("max_token_length", 5000)
         self.shuffle_idx = np.arange(self.total_samples)
-        self.shuffle = shuffle
+        self.shuffle = shuffle and is_training
+        self.length_scale_source = kwargs.get("length_scale_source", 1.0)
+        
     
     def __len__(self):
-        return self.total_samples
+        return (self.total_samples-1) // self.batch_size + 1
     
     def set_epoch(self, epoch):
         np.random.seed(epoch)
@@ -52,8 +55,10 @@
                 
                 idx_map = self.shuffle_idx[idx]
                 # prompt = self.dataset.indexed_dataset[idx_map]["prompt"]
-                sample_len_cur = self.dataset.get_source_len(idx_map) + \
-                                 self.dataset.get_target_len(idx_map)
+                target_len = self.dataset.get_target_len(idx_map) if self.batch_type == 'length' else 0.0
+                source_len = self.dataset.get_source_len(idx_map) / self.length_scale_source
+                sample_len_cur = source_len + target_len
+                
                 
                 datalen_with_index.append([idx, sample_len_cur])
             
@@ -65,7 +70,7 @@
                 
                 max_token_cur = max(max_token, sample_len_cur_raw)
                 max_token_padding = 1 + num_sample
-                if self.batch_type == 'length':
+                if self.batch_type != 'example':
                     max_token_padding *= max_token_cur
                 if max_token_padding <= self.batch_size:
                     batch.append(idx)

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