tensorflow/models · error · SyntaxError
Please do not set eval_dataset. Progressive training relies
Error message
Please do not set eval_dataset. Progressive training relies on progressive policy to manager eval dataset.
What it means
Error "Please do not set eval_dataset. Progressive training relies on progressive policy to manager eval dataset." thrown in tensorflow/models.
Source
Thrown at official/modeling/fast_training/progressive/trainer.py:170
"""Overriding StandardTrainer.train_dataset."""
return self._task.cur_train_dataset
# override
@train_dataset.setter
def train_dataset(self, _):
raise SyntaxError('Please do not set train_dataset. Progressive training '
'relies on progressive policy to manager train dataset.')
# override
@property
def eval_dataset(self):
"""Overriding StandardEvaluator.eval_dataset."""
return self._task.cur_eval_dataset
# override
@eval_dataset.setter
def eval_dataset(self, _):
raise SyntaxError('Please do not set eval_dataset. Progressive training '
'relies on progressive policy to manager eval dataset.')
def train_loop_end(self):
"""See base class."""
logs = {}
for metric in self.train_metrics + [self.train_loss]:
logs[metric.name] = metric.result()
metric.reset_states()
if callable(self.optimizer.learning_rate):
logs['learning_rate'] = self.optimizer.learning_rate(
self.optimizer.iterations)
else:
logs['learning_rate'] = self.optimizer.learning_rate
self._maybe_export_non_progressive_checkpoint(self._export_ckpt_dir)
if self._task.is_stage_advancing(self.global_step.numpy()):
old_train_dataset = self.train_dataset
View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/modeling/fast_training/progressive/trainer.py:170 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/930c5f8d6d4c14ee.
Report an issue: GitHub.