tensorflow/models · error · ValueError
`trainer` and `evaluator` should not both be `None`.
Error message
`trainer` and `evaluator` should not both be `None`.
What it means
Error "`trainer` and `evaluator` should not both be `None`." thrown in tensorflow/models.
Source
Thrown at orbit/controller.py:183
will be set to `summary_dir`. If both `summary_dir` and
`eval_summary_dir` are `None`, no eval summaries will be written.
summary_manager: Instance of the summary manager. If set, the
`summary_dir` will be ignored. Otherwise the summary manager will be
created internally for TensorBoard summaries by default from the
`summary_dir`.
eval_summary_manager: Instance of the eval summary manager. If set, the
`eval_summary_dir` will be ignored. Otherwise the eval summary manager
will be created internally for TensorBoard summaries by default from the
`eval_summary_dir`.
Raises:
ValueError: If both `trainer` and `evaluator` are `None`.
ValueError: If `steps_per_loop` is not a positive integer or a callable.
ValueError: If `summary_interval` is not a positive integer or is not
divisible by `steps_per_loop`.
"""
if trainer is None and evaluator is None:
raise ValueError("`trainer` and `evaluator` should not both be `None`.")
if trainer is not None:
if steps_per_loop is None:
raise ValueError(
"`steps_per_loop` is required when `trainer` is provided.")
elif not callable(steps_per_loop) and (
not isinstance(steps_per_loop, int) or steps_per_loop < 1):
raise ValueError(
f"`steps_per_loop` ({steps_per_loop}) must be a positive integer "
"or a callable.")
if summary_interval is not None:
if summary_interval <= 0:
raise ValueError(
f"`summary_interval` ({summary_interval}) must be larger than 0.")
elif not callable(steps_per_loop) and (summary_interval % steps_per_loop
!= 0):
raise ValueError(View on GitHub (pinned to e006f5f0d5)
Solutions
- Provide at least one of trainer or evaluator to the Controller.
- Pass a trainer for training runs or an evaluator for eval-only runs.
When it happens
Trigger: Thrown at orbit/controller.py:183 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/2f6dc367d1e81991.
Report an issue: GitHub.