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/projects/token_dropping/encoder.py:270

          dense_type_ids=tf_keras.Input(shape=(None,), dtype=tf.int32),
      )
    else:
      self.inputs = dict(
          input_word_ids=tf_keras.Input(shape=(None,), dtype=tf.int32),
          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):
    if isinstance(inputs, dict):
      word_ids = inputs.get('input_word_ids')
      mask = inputs.get('input_mask')
      type_ids = inputs.get('input_type_ids')

      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__)

    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)

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

    embeddings = word_embeddings + position_embeddings + type_embeddings
    embeddings = self._embedding_norm_layer(embeddings)
    embeddings = self._embedding_dropout(embeddings)

    if self._embedding_projection is not None:

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/token_dropping/encoder.py:270 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/d1e3e45d6525f770. Report an issue: GitHub.