tensorflow/models · error · ValueError
Duplicate feats found for output level {}.
Error message
Duplicate feats found for output level {}. What it means
Error "Duplicate feats found for output level {}." thrown in tensorflow/models.
Source
Thrown at official/vision/modeling/backbones/spinenet_mobile.py:399
inputs=x,
in_filters=target_num_filters,
out_filters=target_num_filters,
strides=1,
se_ratio=self._se_ratio,
expand_ratio=self._expand_ratio,
block_repeats=self._block_repeats,
stochastic_depth_drop_rate=nn_layers.get_stochastic_depth_rate(
self._init_stochastic_depth_rate, i + 1, len(self._block_specs)),
name='scale_permuted_block_{}'.format(i + 1))
net.append(x)
net_sizes.append(target_width)
num_outgoing_connections.append(0)
# Save output feats.
if block_spec.is_output:
if block_spec.level in endpoints:
raise ValueError('Duplicate feats found for output level {}.'.format(
block_spec.level))
if (block_spec.level < self._min_level or
block_spec.level > self._max_level):
logging.warning(
'SpineNet output level out of range [min_level, max_levle] = [%s, %s] will not be used for further processing.',
self._min_level, self._max_level)
endpoints[str(block_spec.level)] = x
return endpoints
def _build_endpoints(self, net):
"""Matches filter size for endpoints before sharing conv layers."""
endpoints = {}
for level in range(self._min_level, self._max_level + 1):
x = layers.Conv2D(
filters=self._endpoints_num_filters,
kernel_size=1,
strides=1,View on GitHub (pinned to e006f5f0d5)
Solutions
- Remove the duplicate feature entry for the reported output level from the mobile SpineNet arch spec.
- Ensure each output level maps to a single feature in the arch specification.
When it happens
Trigger: Thrown at official/vision/modeling/backbones/spinenet_mobile.py:399 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/0702fa898e391421.
Report an issue: GitHub.