tensorflow/models · error · ValueError

Unexpected inputs type to %s.

Error message

Unexpected inputs type to %s.

What it means

Error "Unexpected inputs type to %s." thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/networks/funnel_transformer.py:484

        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)

    if dense_inputs is not None:
      # Allow concatenation of the dense embeddings at sequence end if requested
      # and `unpool_length`` is set as zero
      if self._append_dense_inputs:
        if self._unpool_length != 0:
          raise ValueError(
              'unpool_length is not supported by append_dense_inputs now.'
          )
        word_embeddings = tf.concat([word_embeddings, dense_inputs], axis=1)
        type_ids = tf.concat([type_ids, dense_type_ids], axis=1)
        mask = tf.concat([mask, dense_mask], axis=1)
      else:
        # Concat the dense embeddings at sequence begin so unpool_len can
        # control embedding not being pooled.

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/networks/funnel_transformer.py:484 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/35565f037edb982f. Report an issue: GitHub.