tensorflow/models · error · ValueError
Unexpected inputs to %s with length at %d.
Error message
Unexpected inputs to %s with length at %d.
What it means
Error "Unexpected inputs to %s with length at %d." thrown in tensorflow/models.
Source
Thrown at official/nlp/modeling/networks/funnel_transformer.py:470
input_mask=tf_keras.Input(shape=(None,), dtype=tf.int32),
input_type_ids=tf_keras.Input(shape=(None,), dtype=tf.int32))
def call(self, inputs, output_range: Optional[tf.Tensor] = None):
# inputs are [word_ids, mask, type_ids]
word_embeddings = None
if isinstance(inputs, (list, tuple)):
logging.warning('List inputs to %s are discouraged.', self.__class__)
if len(inputs) == 3:
word_ids, mask, type_ids = inputs
dense_inputs = None
dense_mask = None
dense_type_ids = None
elif len(inputs) == 6:
word_ids, mask, type_ids, dense_inputs, dense_mask, dense_type_ids = (
inputs
)
else:
raise ValueError(
'Unexpected inputs to %s with length at %d.'
% (self.__class__, len(inputs))
)
elif isinstance(inputs, dict):
word_ids = inputs.get('input_word_ids')
mask = inputs.get('input_mask')
type_ids = inputs.get('input_type_ids')
word_embeddings = inputs.get('input_word_embeddings', None)
dense_inputs = inputs.get('dense_inputs', None)
dense_mask = inputs.get('dense_mask', None)
dense_type_ids = inputs.get('dense_type_ids', None)
else:
raise ValueError('Unexpected inputs type to %s.' % self.__class__)
if word_embeddings is None:
word_embeddings = self._embedding_layer(word_ids)
View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/nlp/modeling/networks/funnel_transformer.py:470 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24).
Data as JSON: /api/errors/ff90976e0f10f46d.
Report an issue: GitHub.