tensorflow/models · error · ValueError
Output stride must be None, 1 or a multiple of 2.
Error message
Output stride must be None, 1 or a multiple of 2.
What it means
Error "Output stride must be None, 1 or a multiple of 2." thrown in tensorflow/models.
Source
Thrown at official/vision/modeling/backbones/mobilenet.py:1302
https://arxiv.org/abs/1801.04381.
output_intermediate_endpoints: A `bool` of whether or not output the
intermediate endpoints.
**kwargs: Additional keyword arguments to be passed.
"""
if model_id not in SUPPORTED_SPECS_MAP:
raise ValueError('The MobileNet version {} '
'is not supported'.format(model_id))
if filter_size_scale <= 0:
raise ValueError('filter_size_scale is not greater than zero.')
if output_stride is not None:
if model_id == 'MobileNetV1':
if output_stride not in [8, 16, 32]:
raise ValueError('Only allowed output_stride values are 8, 16, 32.')
else:
if output_stride == 0 or (output_stride > 1 and output_stride % 2):
raise ValueError('Output stride must be None, 1 or a multiple of 2.')
self._model_id = model_id
self._input_specs = input_specs
self._filter_size_scale = filter_size_scale
self._min_depth = min_depth
self._output_stride = output_stride
self._divisible_by = divisible_by
self._stochastic_depth_drop_rate = stochastic_depth_drop_rate
self._flat_stochastic_depth_drop_rate = flat_stochastic_depth_drop_rate
self._regularize_depthwise = regularize_depthwise
self._kernel_initializer = kernel_initializer
self._kernel_regularizer = kernel_regularizer
self._bias_regularizer = bias_regularizer
self._use_sync_bn = use_sync_bn
self._norm_momentum = norm_momentum
self._norm_epsilon = norm_epsilon
self._finegrain_classification_mode = finegrain_classification_mode
self._output_intermediate_endpoints = output_intermediate_endpointsView on GitHub (pinned to e006f5f0d5)
Solutions
- Set output_stride to None, 1, or a multiple of 2.
- Fix the output_stride value in the backbone config to satisfy the constraint.
When it happens
Trigger: Thrown at official/vision/modeling/backbones/mobilenet.py:1302 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/bc21bc673ed65e14.
Report an issue: GitHub.