比较与torchaudio.datasets.TEDLIUM的差异

torchaudio.datasets.TEDLIUM

class torchaudio.datasets.TEDLIUM(
    root: str,
    release: str = 'release1',
    subset: str = None,
    download: bool = False,
    audio_ext: str = '.sph')

更多内容详见torchaudio.datasets.TEDLIUM。

mindspore.dataset.TedliumDataset

class mindspore.dataset.TedliumDataset(
    dataset_dir,
    release,
    usage=None,
    extensions=None,
    num_samples=None,
    num_parallel_workers=None,
    shuffle=None,
    sampler=None,
    num_shards=None,
    shard_id=None,
    cache=None)

更多内容详见mindspore.dataset.TedliumDataset。

差异对比

PyTorch：读取Tedlium数据集。

MindSpore：读取Tedlium数据集，不支持下载。

分类	子类	PyTorch	MindSpore	差异
参数	参数1	root	dataset_dir	-
	参数2	release	release	-
	参数3	subset	usage	-
	参数4	download	-	MindSpore不支持
	参数5	audio_ext	extensions	-
	参数6	-	num_samples	指定从数据集中读取的样本数
	参数7	-	num_parallel_workers	指定读取数据的工作线程数
	参数8	-	shuffle	指定是否混洗数据集
	参数9	-	sampler	指定采样器
	参数10	-	num_shards	指定分布式训练时将数据集进行划分的分片数
	参数11	-	shard_id	指定分布式训练时使用的分片ID号
	参数12	-	cache	指定单节点数据缓存服务

代码示例

# PyTorch
import torchaudio.datasets as datasets
from torch.utils.data import DataLoader

root = "/path/to/dataset_directory/"
dataset = datasets.TEDLIUM(root, release='release1')
dataloader = DataLoader(dataset)

# MindSpore
import mindspore.dataset as ds

# Download Tedlium dataset files, unzip into the following structure
# .
# └──TEDLIUM_release1
#     └── dev
#         ├── sph
#             ├── AlGore_2009.sph
#             ├── BarrySchwartz_2005G.sph
#         ├── stm
#             ├── AlGore_2009.stm
#             ├── BarrySchwartz_2005G.stm
#     └── test
#         ├── sph
#             ├── AimeeMullins_2009P.sph
#             ├── BillGates_2010.sph
#         ├── stm
#             ├── AimeeMullins_2009P.stm
#             ├── BillGates_2010.stm
#     └── train
#         ├── sph
#             ├── AaronHuey_2010X.sph
#             ├── AdamGrosser_2007.sph
#         ├── stm
#             ├── AaronHuey_2010X.stm
#             ├── AdamGrosser_2007.stm
#     └── readme
#     └── TEDLIUM.150k.dic
root = "/path/to/dataset_directory/"
ms_dataloader = ds.TedliumDataset(root, release='release1')