比较与torchaudio.datasets.TEDLIUM的差异

查看源文件

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')