Convenient helper method for common case. Args: train_dataset_name: Name of the training dataset, eg: 'Train' train_steps_per_loop: Number of steps to execute the training program. eval_dataset_names: List of eval dataset_name strings, eg: ['Train']. eval_steps_per_loop: Number of
(train_dataset_name,
train_steps_per_loop,
eval_dataset_names,
eval_steps_per_loop,
decode_steps_per_loop=None,
decode_num_samples=None,
decode_trigger_offset=0,
decode_trigger_interval=1,
experimental_decoder=False,
multi_inputs_decoder=False,
train_program_cls=TrainProgram,
eval_program_cls=EvalProgram,
summary_exporter_cls=None,
async_postprocess=True,
experimental_async_postprocess=False,
decode_until_out_of_range=False,
postprocess_all_at_once=False,
emails=None,
train_summary_interval_steps=None,
spmd=False,
train_max_metrics=None)
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