def report_func(epoch, batch, num_batches, start_time, lr, report_stats):
"""
This is the user-defined batch-level traing progress
report function.
Args:
epoch(int): current epoch count.
batch(int): current batch count.
num_batches(int): total number of batches.
start_time(float): last report time.
lr(float): current learning rate.
report_stats(Statistics): old Statistics instance.
Returns:
report_stats(Statistics): updated Statistics instance.
"""
if batch % opt.report_every == -1 % opt.report_every:
report_stats.output(epoch, batch + 1, num_batches, start_time)
report_stats = table.Statistics(0, {})
return report_stats
def report_func(epoch: int, batch: int, num_batches: int, start_time: float, lr: float, report_stats: table.Statistics):
"""
This is the user-defined batch-level traing progress report function.
Args:
epoch: current epoch count.
batch: current batch count.
num_batches: total number of batches.
start_time: last report time.
lr: current learning rate.
report_stats: old Statistics instance.
Returns:
report_stats updated Statistics instance.
"""
is_new_report = batch % args.batch_report_every == -1 % args.batch_report_every
if is_new_report:
report_stats.print_output(epoch, batch + 1, num_batches, start_time)
report_stats = table.Statistics(loss=0, eval_result={})
return report_stats, is_new_report, args.batch_report_every