tensorflow/models · error · ValueError
Only bifpn config is supported.
Error message
Only bifpn config is supported.
What it means
Error "Only bifpn config is supported." thrown in tensorflow/models.
Source
Thrown at official/projects/edgetpu/vision/modeling/heads/bifpn_head.py:527
apply_bn_for_resampling=True,
is_training_bn=True,
conv_after_downsample=True,
conv_bn_act_pattern=True,
conv_type='sep_3',
act_type='swish',
strategy='tpu',
fpn_weight_method='sum',
data_format='channels_last',
pooling_type='avg',
upsampling_type='bilinear',
fpn_name='bifpn',
fpn_cell_repeats=4,
**kwargs):
super(FPNCells, self).__init__(**kwargs)
self.min_level = min_level
self.max_level = max_level
if fpn_name != 'bifpn':
raise ValueError('Only bifpn config is supported.')
self.fpn_config = bifpn_config(min_level, max_level)
self.cells = [
FPNCell( # pylint: disable=g-complex-comprehension
min_level=min_level,
max_level=max_level,
fpn_num_filters=fpn_num_filters,
apply_bn_for_resampling=apply_bn_for_resampling,
is_training_bn=is_training_bn,
conv_after_downsample=conv_after_downsample,
conv_bn_act_pattern=conv_bn_act_pattern,
conv_type=conv_type,
act_type=act_type,
strategy=strategy,
fpn_weight_method=fpn_weight_method,
data_format=data_format,
pooling_type=pooling_type,
upsampling_type=upsampling_type,
fpn_name=fpn_name,View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/projects/edgetpu/vision/modeling/heads/bifpn_head.py:527 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/69218ebbc389ce90.
Report an issue: GitHub.