keras-team/keras · error · ValueError
Cannot enable lora on a layer that isn't yet built.
Error message
Cannot enable lora on a layer that isn't yet built.
What it means
Error "Cannot enable lora on a layer that isn't yet built." thrown in keras-team/keras.
Source
Thrown at keras/src/layers/core/embedding.py:228
return KerasTensor(
output_shape, dtype=self.compute_dtype, ragged=ragged
)
def enable_lora(
self,
rank,
lora_alpha=None,
a_initializer="he_uniform",
b_initializer="zeros",
):
if self.embeddings_constraint:
raise ValueError(
"Lora is incompatible with embedding constraints. "
"In order to enable lora on this layer, remove the "
"`embeddings_constraint` argument."
)
if not self.built:
raise ValueError(
"Cannot enable lora on a layer that isn't yet built."
)
if self.lora_enabled:
raise ValueError(
"lora is already enabled. This can only be done once per layer."
)
self._tracker.unlock()
# LoRA weights should be float32 to avoid the risk of underflow or
# overflow during fine-tuning.
# When deploying the model, these weights should be merged with the
# original embedding while maintaining the original embedding's dtype.
self.lora_embeddings_a = self.add_weight(
name="lora_embeddings_a",
shape=(self.input_dim, rank),
initializer=initializers.get(a_initializer),
dtype="float32",
regularizer=self.embeddings_regularizer,View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/layers/core/embedding.py:228 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25).
Data as JSON: /api/errors/893a07faea319d85.
Report an issue: GitHub.