Differences with torchaudio.datasets.LIBRITTS

torchaudio.datasets.LIBRITTS

class torchaudio.datasets.LIBRITTS(
    root: str,
    url: str = 'train-clean-100',
    folder_in_archive: str = 'LibriTTS',
    download: bool = False)

For more information, see torchaudio.datasets.LIBRITTS.

mindspore.dataset.LibriTTSDataset

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

For more information, see mindspore.dataset.LibriTTSDataset.

Differences

PyTorch: Read the LibriTTS dataset.

MindSpore: Read the LibriTTS dataset. Download dataset from web is not supported.

Categories	Subcategories	PyTorch	MindSpore	Difference
Parameter	Parameter1	root	dataset_dir	-
	Parameter2	url	usage	-
	Parameter3	folder_in_archive	-	Not supported by MindSpore
	Parameter4	download	-	Not supported by MindSpore
	Parameter5	-	num_samples	The number of images to be included in the dataset
	Parameter6	-	num_parallel_workers	Number of worker threads to read the data
	Parameter7	-	shuffle	Whether to perform shuffle on the dataset
	Parameter8	-	sampler	Object used to choose samples from the dataset
	Parameter9	-	num_shards	Number of shards that the dataset will be divided into
	Parameter10	-	shard_id	The shard ID within num_shards
	Parameter11	-	cache	Use tensor caching service to speed up dataset processing

Code Example

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

root = "/path/to/dataset_directory/"
dataset = datasets.LIBRITTS(root, url='train-clean-100')
dataloader = DataLoader(dataset)

# MindSpore
import mindspore.dataset as ds

# Download LibriTTS dataset files, unzip into the following structure
# .
# └── /path/to/dataset_directory/
#      ├── dev-clean
#      │    ├── 116
#      │    │    ├── 288045
#      |    |    |    ├── 116_288045.trans.tsv
#      │    │    │    ├── 116_288045_000003_000000.wav
#      │    │    │    └──...
#      │    │    ├── 288046
#      |    |    |    ├── 116_288046.trans.tsv
#      |    |    |    ├── 116_288046_000003_000000.wav
#      │    |    |    └── ...
#      |    |    └── ...
#      │    ├── 1255
#      │    │    ├── 138279
#      |    |    |    ├── 1255_138279.trans.tsv
#      │    │    │    ├── 1255_138279_000001_000000.wav
#      │    │    │    └── ...
#      │    │    ├── 74899
#      |    |    |    ├── 1255_74899.trans.tsv
#      |    |    |    ├── 1255_74899_000001_000000.wav
#      │    |    |    └── ...
#      |    |    └── ...
#      |    └── ...
#      └── ...
root = "/path/to/dataset_directory/"
ms_dataloader = ds.LibriTTSDataset(root, usage='train-clean-100')