tensorflow/models · error · ValueError
Input should have rank {}, got {}
Error message
Input should have rank {}, got {} What it means
Error "Input should have rank {}, got {}" thrown in tensorflow/models.
Source
Thrown at official/vision/modeling/layers/nn_layers.py:819
def get_config(self):
"""Returns a dictionary containing the config used for initialization."""
config = {
'keepdims': self._keepdims,
}
base_config = super(SpatialAveragePool3D, self).get_config()
return dict(list(base_config.items()) + list(config.items()))
def build(self, input_shape):
"""Builds the layer with the given input shape."""
if tf_keras.backend.image_data_format() == 'channels_first':
raise ValueError('"channels_first" mode is unsupported.')
super(SpatialAveragePool3D, self).build(input_shape)
def call(self, inputs, states=None, output_states: bool = False):
"""Calls the layer with the given inputs."""
if inputs.shape.rank != 5:
raise ValueError(
'Input should have rank {}, got {}'.format(5, inputs.shape.rank))
output = tf.reduce_mean(inputs, axis=(2, 3), keepdims=self._keepdims)
return (output, states) if output_states else output
class CausalConvMixin:
"""Mixin class to implement CausalConv for `tf_keras.layers.Conv` layers."""
@property
def use_buffered_input(self) -> bool:
return self._use_buffered_input
@use_buffered_input.setter
def use_buffered_input(self, variable: bool):
self._use_buffered_input = variable
def _compute_buffered_causal_padding(self,View on GitHub (pinned to e006f5f0d5)
Solutions
- Pass an input tensor whose rank equals the expected rank shown in the error.
- Add or remove dimensions (e.g. with tf.expand_dims or tf.squeeze) to match the expected rank.
When it happens
Trigger: Thrown at official/vision/modeling/layers/nn_layers.py:819 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/27549a60d62d5430.
Report an issue: GitHub.