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tfds.decode.SkipDecoding
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Transformation which skip the decoding entirelly.
Inherits From: Decoder
tfds.decode.SkipDecoding()
Example of usage:
ds = tfds.load(
'imagenet2012',
split='train',
decoders={
'image': tfds.decode.SkipDecoding(),
}
)
for ex in ds.take(1):
assert ex['image'].dtype == tf.string
Attributes | |
|---|---|
dtype
|
Returns the dtype after decoding.
|
feature
|
|
Methods
decode_batch_example
decode_batch_example(
serialized_example
)
See FeatureConnector.decode_batch_example for details.
decode_example
decode_example(
serialized_example
)
Forward the serialized feature field.
decode_example_np
decode_example_np(
serialized_example
)
Forward the serialized feature field.
decode_ragged_example
decode_ragged_example(
serialized_example
)
See FeatureConnector.decode_ragged_example for details.
setup
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.
|