tensorflow/models · error · ValueError
Unknown decoder type: {}!
Error message
Unknown decoder type: {}! What it means
Error "Unknown decoder type: {}!" thrown in tensorflow/models.
Source
Thrown at official/projects/detr/tasks/detection.py:109
params,
input_context: Optional[tf.distribute.InputContext] = None):
"""Build input dataset."""
if isinstance(params, coco.COCODataConfig):
dataset = coco.COCODataLoader(params).load(input_context)
else:
if params.tfds_name:
decoder = tfds_factory.get_detection_decoder(params.tfds_name)
else:
decoder_cfg = params.decoder.get()
if params.decoder.type == 'simple_decoder':
decoder = tf_example_decoder.TfExampleDecoder(
regenerate_source_id=decoder_cfg.regenerate_source_id)
elif params.decoder.type == 'label_map_decoder':
decoder = tf_example_label_map_decoder.TfExampleDecoderLabelMap(
label_map=decoder_cfg.label_map,
regenerate_source_id=decoder_cfg.regenerate_source_id)
else:
raise ValueError('Unknown decoder type: {}!'.format(
params.decoder.type))
parser = detr_input.Parser(
class_offset=self._task_config.losses.class_offset,
output_size=self._task_config.model.input_size[:2],
)
reader = input_reader_factory.input_reader_generator(
params,
dataset_fn=dataset_fn.pick_dataset_fn(params.file_type),
decoder_fn=decoder.decode,
parser_fn=parser.parse_fn(params.is_training))
dataset = reader.read(input_context=input_context)
return dataset
def _compute_cost(self, cls_outputs, box_outputs, cls_targets, box_targets):
# Approximate classification cost with 1 - prob[target class].View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/projects/detr/tasks/detection.py:109 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/f403ab9d61b1b25a.
Report an issue: GitHub.