tensorflow/models · error · ValueError
num_classes should be given when requesting one hot label.
Error message
num_classes should be given when requesting one hot label.
What it means
Error "num_classes should be given when requesting one hot label." thrown in tensorflow/models.
Source
Thrown at official/projects/videoglue/datasets/common/utils.py:588
for different label features.
output_label_name_feature_name: Name of the label name feature in the
output features dictionary. Exposing this as an argument allows using this
function for different label features.
num_frames: The number of frames. If the num_frames > 1, the labels will be
duplicated.
num_instances_per_frame: The number of label instances per frames.
zero_based_index: Whether the raw index are zero based. If not, converted to
the zero based index as the output.
one_hot_label: Return labels as one hot tensors. If is_multi_label is True,
one hot tensor might have multiple ones.
num_classes: Total number of classes in the dataset. It has to be procided
if one_hot_label is True.
add_label_name: Also return the name of the label. Not yet supported for
multi label.
"""
# Validate parameters.
if one_hot_label and not num_classes:
raise ValueError(
'num_classes should be given when requesting one hot label.')
# Parse label.
parser_builder.parse_feature(
feature_name=input_label_index_feature_name,
feature_type=tf.io.VarLenFeature(dtype=tf.int64),
output_name=output_label_index_feature_name,
is_context=True)
# Densify labels tensor in order to support multi label case.
sampler_builder.add_fn(
fn=lambda x: tf.sparse.to_dense(x, default_value=-1),
feature_name=output_label_index_feature_name,
fn_name='{}_sparse_to_dense'.format(output_label_index_feature_name))
# Crop or pad labels to max_num_instance.
crop_or_pad_features_fn = functools.partial(
processors.crop_or_pad_features,View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/projects/videoglue/datasets/common/utils.py:588 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/f716cbe579e902ab.
Report an issue: GitHub.