tensorflow/models · error · ValueError

output type %s is not supported

Error message

output type %s is not supported

What it means

Error "output type %s is not supported" thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/models/dual_encoder.py:122

          name='dot_product')

      inputs = [
          left_word_ids, left_mask, left_type_ids, right_word_ids, right_mask,
          right_type_ids
      ]
      left_logits, right_logits = dot_products(left_encoded, right_encoded)

      outputs = dict(left_logits=left_logits, right_logits=right_logits)

    elif output == 'predictions':
      inputs = [left_word_ids, left_mask, left_type_ids]

      # To keep consistent with legacy BERT hub modules, the outputs are
      # "pooled_output" and "sequence_output".
      outputs = dict(
          sequence_output=left_sequence_output, pooled_output=left_encoded)
    else:
      raise ValueError('output type %s is not supported' % output)

    # b/164516224
    # Once we've created the network using the Functional API, we call
    # super().__init__ as though we were invoking the Functional API Model
    # constructor, resulting in this object having all the properties of a model
    # created using the Functional API. Once super().__init__ is called, we
    # can assign attributes to `self` - note that all `self` assignments are
    # below this line.
    super(DualEncoder, self).__init__(inputs=inputs, outputs=outputs, **kwargs)

    config_dict = {
        'network': network,
        'max_seq_length': max_seq_length,
        'normalize': normalize,
        'logit_scale': logit_scale,
        'logit_margin': logit_margin,
        'output': output,
    }

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/models/dual_encoder.py:122 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/bccb5c163cfda7af. Report an issue: GitHub.