keras-team/keras · error · AttributeError
Variable is not properly initialized (raw_value missing) and
Error message
Variable is not properly initialized (raw_value missing) and has no initializer.
What it means
Error "Variable is not properly initialized (raw_value missing) and has no initializer." thrown in keras-team/keras.
Source
Thrown at keras/src/backend/jax/ops/core.py:287
@property
def value(self):
if in_stateless_scope():
scope = get_stateless_scope()
stateless_value = scope.get_current_value(self)
if stateless_value is not None:
return self._maybe_autocast(stateless_value)
current_value = _get_raw_value(self)
if current_value is None:
# Uninitialized variable (created under a stateless scope,
# which defers initialization). Return a placeholder, like
# `KerasVariable.value`, without mutating the variable.
if self._initializer is not None:
return self._maybe_autocast(
self._initializer(self._shape, dtype=self._dtype)
)
else:
raise AttributeError(
"Variable is not properly initialized (raw_value "
"missing) and has no initializer."
)
if (
hasattr(self, "_var_metadata")
and "on_get_value" in self._var_metadata
):
current_value = self._var_metadata["on_get_value"](
self, current_value
)
return self._maybe_autocast(current_value)
Variable = NnxVariable
def _flatten_nnx_variable(variable):
children = (_get_raw_value(variable),)
# We copy __dict__ to avoid side effects
keras_state = variable.__dict__.copy()View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/backend/jax/ops/core.py:287 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/70eaaf7c3e1abf2a.
Report an issue: GitHub.