update

游雁

2024-03-22 fcbbe8af9f22a41611d9506af17cae1e422f9fec

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import logging
import torch
 
from funasr.register import tables
 
@tables.register("dataloader_classes", "DataloaderMapStyle")
def DataloaderMapStyle(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"))
    
    # dataloader
    batch_sampler = 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(dataset_tr, **kwargs.get("dataset_conf"))
        batch_sampler_val = batch_sampler_class(dataset_val, is_training=False, **kwargs.get("dataset_conf"))
    
    dataloader_tr = torch.utils.data.DataLoader(dataset_tr, collate_fn=dataset_tr.collator, **batch_sampler)
    dataloader_val = torch.utils.data.DataLoader(dataset_val, collate_fn=dataset_val.collator, **batch_sampler_val)
    
    return dataloader_tr, dataloader_val
 
 
@tables.register("dataloader_classes", "DataloaderIterable")
def DataloaderIterable(frontend=None, tokenizer=None, **kwargs):
    logging.info("Build dataloader")
    dataset_class = tables.dataset_classes.get(kwargs.get("dataset", "LargeDataset"))
    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"))
    
    return dataset_tr, dataset_val