tfds.decode.SkipDecoding

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Class SkipDecoding

Transformation which skip the decoding entirelly.

Inherits From: Decoder

Example of usage:

ds = ds.load(
    'imagenet2012',
    split='train',
    decoders={
        'image': tfds.decode.SkipDecoding(),
    }
)

for ex in ds.take(1):
  assert ex['image'].dtype == tf.string

__init__

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__init__()

Initialize self. See help(type(self)) for accurate signature.

Properties

dtype

Returns the dtype after decoding.

Methods

decode_batch_example

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decode_batch_example(serialized_example)

See FeatureConnector.decode_batch_example for details.

decode_example

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decode_example(serialized_example)

Forward the serialized feature field.

setup

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setup(feature)

Transformation contructor.

The initialization of decode object is deferred because the objects only know the builder/features on which it is used after it has been constructed, the initialization is done in this function.

Args:

• feature: tfds.features.FeatureConnector, the feature to which is applied this transformation.