tensorflow/models · error · ValueError
Variable name {simple_name} is not supported on CustomLayerQ
Error message
Variable name {simple_name} is not supported on CustomLayerQuantize({self._original_layer_pattern}) transform. What it means
Error "Variable name {simple_name} is not supported on CustomLayerQuantize({self._original_layer_pattern}) transform." thrown in tensorflow/models.
Source
Thrown at official/projects/qat/vision/n_bit/schemes.py:67
num_bits_weight: int = 8,
num_bits_activation: int = 8):
super().__init__()
self._original_layer_pattern = original_layer_pattern
self._quantized_layer_class = quantized_layer_class
self._num_bits_weight = num_bits_weight
self._num_bits_activation = num_bits_activation
def pattern(self) -> _LayerPattern:
"""See base class."""
return _LayerPattern(self._original_layer_pattern)
def _is_quantization_weight_name(self, name):
simple_name = name.split('/')[-1].split(':')[0]
if simple_name in _QUANTIZATION_WEIGHT_NAMES:
return True
if simple_name in _ORIGINAL_WEIGHT_NAME:
return False
raise ValueError(f'Variable name {simple_name} is not supported on '
'CustomLayerQuantize({self._original_layer_pattern}) '
'transform.')
def replacement(self, match_layer: _LayerNode) -> _LayerNode:
"""See base class."""
bottleneck_layer = match_layer.layer
bottleneck_config = bottleneck_layer['config']
bottleneck_config['num_bits_weight'] = self._num_bits_weight
bottleneck_config['num_bits_activation'] = self._num_bits_activation
bottleneck_names_and_weights = list(match_layer.names_and_weights)
quantized_layer = self._quantized_layer_class(
**bottleneck_config)
dummy_input_shape = [1, 1, 1, 1]
quantized_layer.compute_output_shape(dummy_input_shape)
quantized_names_and_weights = zip(
[weight.name for weight in quantized_layer.weights],
quantized_layer.get_weights())
match_idx = 0View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/projects/qat/vision/n_bit/schemes.py:67 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/8882add43e1517b5.
Report an issue: GitHub.