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updated loading data recipe to use latest api of torchaudio.datasets.YESNO #1903

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merged 2 commits into from
Apr 30, 2022
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updated loading data recipe to use latest api of torchaudio.datasets.YESNO #1903

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8750d9a
updated the code snippet to use latest api of torchaudio.datasets.YESNO
dineshladi Apr 30, 2022
4e7bbd8
remove transfom related info in the recipe
dineshladi Apr 30, 2022
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8 changes: 2 additions & 6 deletions recipes_source/recipes/loading_data_recipe.py
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Expand Up @@ -72,12 +72,10 @@
#
# ``torchaudio.datasets.YESNO`` creates a dataset for YesNo.
torchaudio.datasets.YESNO(
root,
root='./',
url='http://www.openslr.org/resources/1/waves_yesno.tar.gz',
folder_in_archive='waves_yesno',
download=False,
transform=None,
target_transform=None)
download=True)

###########################################################################
# Each item in the dataset is a tuple of the form: (waveform, sample_rate,
Expand All @@ -89,8 +87,6 @@
# useful info on the other parameters:

# * ``download``: If true, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.
# * ``transform``: Using transforms on your data allows you to take it from its source state and transform it into data that’s joined together, de-normalized, and ready for training. Each library in PyTorch supports a growing list of transformations.
# * ``target_transform``: A function/transform that takes in the target and transforms it.
#
# Let’s access our Yesno data:
#
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