keras-team/keras · error · ValueError
The `seed` and `generator` variable must be set in the `__in
Error message
The `seed` and `generator` variable must be set in the `__init__` method before calling `_get_seed_generator()`.
What it means
Error "The `seed` and `generator` variable must be set in the `__init__` method before calling `_get_seed_generator()`." thrown in keras-team/keras.
Source
Thrown at keras/src/layers/preprocessing/data_layer.py:139
self.backend.reset()
if switch_convert_input_args:
self._convert_input_args = True
return outputs
elif (
not isinstance(sample_input, keras.KerasTensor)
and backend_utils.in_grain_data_pipeline()
):
# We're in a Grain data pipeline. Force computation and data
# placement to CPU.
with keras.src.backend.device_scope("cpu"):
return super().__call__(inputs, **kwargs)
else:
return super().__call__(inputs, **kwargs)
@tracking.no_automatic_dependency_tracking
def _get_seed_generator(self, backend=None):
if not hasattr(self, "seed") or not hasattr(self, "generator"):
raise ValueError(
"The `seed` and `generator` variable must be set in the "
"`__init__` method before calling `_get_seed_generator()`."
)
if backend is None or backend == keras.backend.backend():
return self.generator
if not hasattr(self, "_backend_generators"):
self._backend_generators = {}
if backend in self._backend_generators:
return self._backend_generators[backend]
seed_generator = SeedGenerator(self.seed, backend=self.backend)
self._backend_generators[backend] = seed_generator
return seed_generator
def convert_weight(self, weight):
"""Convert the weight if it is from the a different backend."""
if self.backend.name == keras.backend.backend():
return weight
else:View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/layers/preprocessing/data_layer.py:139 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/d3455e67cca9bff4.
Report an issue: GitHub.