tensorflow/models · error · ValueError
decoder's output should be a dict,but got {decoder_output}
Error message
decoder's output should be a dict,but got {decoder_output} What it means
Error "decoder's output should be a dict,but got {decoder_output}" thrown in tensorflow/models.
Source
Thrown at official/projects/perceiver/modeling/models/classifier.py:190
encoder_inputs = {
'input_word_ids': word_ids,
'input_mask': input_mask,
'input_type_ids': input_type_ids,
}
encoder_outputs = self._network(encoder_inputs)
if 'sequence_output' not in encoder_outputs:
if 'latent_output' in encoder_outputs:
z = encoder_outputs['latent_output']
decoder_inputs = {'latent_output': z, 'input_mask': input_mask}
decoder_output = self._decoder(decoder_inputs) # pyrefly: ignore[not-callable]
outputs = dict()
if isinstance(decoder_output, dict):
outputs = decoder_output
else:
raise ValueError('decoder\'s output should be a dict,'
f'but got {decoder_output}')
else:
raise ValueError('If `sequence_output` is not in encoder output,'
'`latent_output` must be in encoder output.')
else:
outputs = encoder_outputs
return self.classifier(outputs['sequence_output'])
@property
def checkpoint_items(self):
"""Returns a dictionary of items to be additionally checkpointed."""
items = dict(encoder=self._network, decoder=self._decoder)
if hasattr(self.classifier, 'checkpoint_items'):
for key, item in self.classifier.checkpoint_items.items():
items['.'.join([self.classifier.name, key])] = item
return items
View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/projects/perceiver/modeling/models/classifier.py:190 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/398ee4d633d30bcd.
Report an issue: GitHub.