Differences with torchaudio.datasets.GTZAN

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torchaudio.datasets.GTZAN

class torchaudio.datasets.GTZAN(
    root: str,
    url: str = 'http://opihi.cs.uvic.ca/sound/genres.tar.gz',
    folder_in_archive: str = 'genres',
    download: bool = False,
    subset: str = None)

For more information, see torchaudio.datasets.GTZAN.

mindspore.dataset.GTZANDataset

class mindspore.dataset.GTZANDataset(
    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.GTZANDataset.

Differences

PyTorch: Read the GTZAN dataset.

MindSpore: Read the GTZAN 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

subset

usage

-

Parameter6

-

num_samples

The number of images to be included in the dataset

Parameter7

-

num_parallel_workers

Number of worker threads to read the data

Parameter8

-

shuffle

Whether to perform shuffle on the dataset

Parameter9

-

sampler

Object used to choose samples from the dataset

Parameter10

-

num_shards

Number of shards that the dataset will be divided into

Parameter11

-

shard_id

The shard ID within num_shards

Parameter12

-

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.GTZAN(root, url='http://opihi.cs.uvic.ca/sound/genres.tar.gz')
dataloader = DataLoader(dataset)

# MindSpore
import mindspore.dataset as ds

# Download GTZAN dataset files, unzip into the following structure
# .
# └── /path/to/dataset_directory/
#      ├── blues
#      │    ├──blues.00000.wav
#      │    ├──blues.00001.wav
#      │    ├──blues.00002.wav
#      │    ├──...
#      ├── disco
#      │    ├──disco.00000.wav
#      │    ├──disco.00001.wav
#      │    ├──disco.00002.wav
#      │    └──...
#      └──...
root = "/path/to/dataset_directory/"
ms_dataloader = ds.GTZANDataset(root, usage='all')