tensorflow/models · error · ValueError

Unexpected inputs type (%s) to %s.

Error message

Unexpected inputs type (%s) to %s.

What it means

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

Source

Thrown at official/nlp/modeling/networks/sparse_mixer.py:312

          input_mask=tf_keras.Input(
              shape=(max_sequence_length,), dtype=tf.int32),
          input_type_ids=tf_keras.Input(
              shape=(max_sequence_length,), dtype=tf.int32))
    self._max_sequence_length = max_sequence_length

  def call(self, inputs):
    word_embeddings = None
    if 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 (%s) to %s.' %
                       (type(inputs), self.__class__))

    if word_embeddings is None:
      word_embeddings = self._embedding_layer(word_ids)

    if dense_inputs is not None:
      # Concat the dense embeddings at sequence end.
      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)

    # SparseMixer: Sequence length must be the same as `max_sequence_length`.
    word_embeddings = tf.ensure_shape(word_embeddings,
                                      [None, self._max_sequence_length, None])

    # Absolute position embeddings.
    position_embeddings = self._position_embedding_layer(word_embeddings)
    type_embeddings = self._type_embedding_layer(type_ids)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/networks/sparse_mixer.py:312 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/069c78273ddf3001. Report an issue: GitHub.