tensorflow/models · error · ValueError
labels must be static in shape when is_static isTrue
Error message
labels must be static in shape when is_static isTrue
What it means
Error "labels must be static in shape when is_static isTrue" thrown in tensorflow/models.
Source
Thrown at official/vision/utils/object_detection/balanced_positive_negative_sampler.py:147
batch_size: desired batch size. This scalar cannot be None.
labels: boolean tensor of shape [N] denoting positive(=True) and negative
(=False) examples. N should be a complie time constant.
Returns:
sampled_idx_indicator: boolean tensor of shape [N], True for entries which
are sampled. It ensures the length of output of the subsample is always
batch_size, even when number of examples set to True in indicator is
less than batch_size.
Raises:
ValueError: if labels and indicator are not 1D boolean tensors.
"""
# Check if indicator and labels have a static size.
if not indicator.shape.is_fully_defined():
raise ValueError('indicator must be static in shape when is_static is'
'True')
if not labels.shape.is_fully_defined():
raise ValueError('labels must be static in shape when is_static is'
'True')
if not isinstance(batch_size, int):
raise ValueError('batch_size has to be an integer when is_static is'
'True.')
input_length = tf.shape(input=indicator)[0]
# Set the number of examples set True in indicator to be at least
# batch_size.
num_true_sampled = tf.reduce_sum(
input_tensor=tf.cast(indicator, tf.float32))
additional_false_sample = tf.less_equal(
tf.cumsum(tf.cast(tf.logical_not(indicator), tf.float32)),
batch_size - num_true_sampled)
indicator = tf.logical_or(indicator, additional_false_sample)
# Shuffle indicator and label. Need to store the permutation to restore the
# order post sampling.View on GitHub (pinned to e006f5f0d5)
Solutions
- Provide a labels tensor with a fully static shape when is_static=True.
- Set is_static=False if shapes are dynamic, or fix the labels shape with set_shape.
When it happens
Trigger: Thrown at official/vision/utils/object_detection/balanced_positive_negative_sampler.py:147 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/26ffe74c4760bd78.
Report an issue: GitHub.