Differences with torchaudio.datasets.GTZAN
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')