tensorflow/models · error · ValueError

Source encoder layers with %d objects does not match destina

Error message

Source encoder layers with %d objects does not match destination decoder layers with %d objects.

What it means

Error "Source encoder layers with %d objects does not match destination decoder layers with %d objects." thrown in tensorflow/models.

Source

Thrown at official/projects/nhnet/utils.py:77

  # Expects the bert model is a subset of checkpoint as pooling layer is
  # not used.
  status.assert_existing_objects_matched()
  logging.info("Loading from checkpoint file completed.")

  # Saves a checkpoint with transformer layers.
  encoder_layers = []
  for transformer_block in bert_encoder.transformer_layers:
    encoder_layers.extend(encoder_common_layers(transformer_block))

  # Restores from the checkpoint with encoder layers.
  decoder_layers_to_initialize = []
  for decoder_block in bert_decoder.decoder.layers:
    decoder_layers_to_initialize.extend(
        decoder_block.common_layers_with_encoder())

  if len(decoder_layers_to_initialize) != len(encoder_layers):
    raise ValueError(
        "Source encoder layers with %d objects does not match destination "
        "decoder layers with %d objects." %
        (len(decoder_layers_to_initialize), len(encoder_layers)))

  for dest_layer, source_layer in zip(decoder_layers_to_initialize,
                                      encoder_layers):
    try:
      dest_layer.set_weights(source_layer.get_weights())
    except ValueError as e:
      logging.error(
          "dest_layer: %s failed to set weights from "
          "source_layer: %s as %s", dest_layer.name, source_layer.name, str(e))

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/nhnet/utils.py:77 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/c7fa784753d61a2a. Report an issue: GitHub.