tensorflow/models · error · ValueError
Existing layer weight shape {} is incompatible withprovided
Error message
Existing layer weight shape {} is incompatible withprovided weight shape {} What it means
Error "Existing layer weight shape {} is incompatible withprovided weight shape {}" thrown in tensorflow/models.
Source
Thrown at official/projects/qat/vision/quantization/configs.py:135
"""See base class."""
return [(getattr(layer, activation_attr), self.activation_quantizer)
for activation_attr in self.activation_attrs]
def set_quantize_weights(
self,
layer: Layer,
quantize_weights: Sequence[tf.Tensor]):
"""See base class."""
if len(self.weight_attrs) != len(quantize_weights):
raise ValueError(
'`set_quantize_weights` called on layer {} with {} '
'weight parameters, but layer expects {} values.'.format(
layer.name, len(quantize_weights), len(self.weight_attrs)))
for weight_attr, weight in zip(self.weight_attrs, quantize_weights):
current_weight = getattr(layer, weight_attr)
if current_weight.shape != weight.shape:
raise ValueError('Existing layer weight shape {} is incompatible with'
'provided weight shape {}'.format(
current_weight.shape, weight.shape))
setattr(layer, weight_attr, weight)
def set_quantize_activations(
self,
layer: Layer,
quantize_activations: Sequence[Activation]):
"""See base class."""
if len(self.activation_attrs) != len(quantize_activations):
raise ValueError(
'`set_quantize_activations` called on layer {} with {} '
'activation parameters, but layer expects {} values.'.format(
layer.name, len(quantize_activations),
len(self.activation_attrs)))
for activation_attr, activation in zip(View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/projects/qat/vision/quantization/configs.py:135 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/6fabb852ac77f160.
Report an issue: GitHub.