From 873cfae5c347b940e38e853d8579a6b4e85ada05 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期日, 24 三月 2024 00:45:45 +0800
Subject: [PATCH] update

---
 funasr/datasets/dataloader_entry.py |   31 +++++++++++++++++++++++++++++++
 1 files changed, 31 insertions(+), 0 deletions(-)

diff --git a/funasr/datasets/dataloader_entry.py b/funasr/datasets/dataloader_entry.py
index a1e4da2..0de7e40 100644
--- a/funasr/datasets/dataloader_entry.py
+++ b/funasr/datasets/dataloader_entry.py
@@ -25,6 +25,37 @@
 	
 	return dataloader_tr, dataloader_val
 
+# @tables.register("dataloader_classes", "DataloaderMapStyle")
+class DataloaderMapStyle:
+	def __init__(self, frontend=None, tokenizer=None, **kwargs):
+		# dataset
+		logging.info("Build dataloader")
+		dataset_class = tables.dataset_classes.get(kwargs.get("dataset", "AudioDataset"))
+		dataset_tr = dataset_class(kwargs.get("train_data_set_list"), frontend=frontend, tokenizer=tokenizer,
+		                           is_training=True, **kwargs.get("dataset_conf"))
+		dataset_val = dataset_class(kwargs.get("valid_data_set_list"), frontend=frontend, tokenizer=tokenizer,
+		                            is_training=False, **kwargs.get("dataset_conf"))
+
+		self.dataset_tr = dataset_tr
+		self.dataset_val = dataset_val
+		self.kwargs = kwargs
+		
+	def build_iter(self, epoch=0):
+		# dataloader
+		batch_sampler = self.kwargs["dataset_conf"].get("batch_sampler", "BatchSampler")
+		batch_sampler_val = None
+		if batch_sampler is not None:
+			batch_sampler_class = tables.batch_sampler_classes.get(batch_sampler)
+			batch_sampler = batch_sampler_class(self.dataset_tr, **self.kwargs.get("dataset_conf"))
+			batch_sampler_val = batch_sampler_class(self.dataset_val, is_training=False, **self.kwargs.get("dataset_conf"))
+		
+		batch_sampler["batch_sampler"].set_epoch(epoch)
+		batch_sampler_val.set_epoch(epohc)
+		dataloader_tr = torch.utils.data.DataLoader(self.dataset_tr, collate_fn=self.dataset_tr.collator, **batch_sampler)
+		dataloader_val = torch.utils.data.DataLoader(self.dataset_val, collate_fn=self.dataset_val.collator, **batch_sampler_val)
+		
+		return dataloader_tr, dataloader_val
+		
 
 @tables.register("dataloader_classes", "DataloaderIterable")
 def DataloaderIterable(frontend=None, tokenizer=None, **kwargs):

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