Differences with torchaudio.datasets.LJSPEECH
torchaudio.datasets.LJSPEECH
class torchaudio.datasets.LJSPEECH(
root: str,
url: str = 'https://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2',
folder_in_archive: str = 'wavs',
download: bool = False)
For more information, see torchaudio.datasets.LJSPEECH.
mindspore.dataset.LJSpeechDataset
class mindspore.dataset.LJSpeechDataset(
dataset_dir,
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.LJSpeechDataset.
Differences
PyTorch: Read the LJSpeech dataset.
MindSpore: Read the LJSpeech dataset. Downloading dataset from web is not supported.
Categories |
Subcategories |
PyTorch |
MindSpore |
Difference |
---|---|---|---|---|
Parameter |
Parameter1 |
root |
dataset_dir |
- |
Parameter2 |
url |
- |
Not supported by MindSpore |
|
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.LJSPEECH(root, url='https://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2')
dataloader = DataLoader(dataset)
# MindSpore
import mindspore.dataset as ds
# Download LJSpeech dataset files, unzip into the following structure
# .
# └── /path/to/dataset_directory/
# ├── README
# ├── metadata.csv
# └── wavs
# ├── LJ001-0001.wav
# ├── LJ001-0002.wav
# ├── LJ001-0003.wav
# ├── LJ001-0004.wav
# ├── LJ001-0005.wav
# ├── LJ001-0006.wav
# ├── LJ001-0007.wav
# ├── LJ001-0008.wav
# ...
# ├── LJ050-0277.wav
# └── LJ050-0278.wav
root = "/path/to/dataset_directory/"
ms_dataloader = ds.LJSpeechDataset(root)