log_utils.py [162:185]:
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                else:
                    print(log_msg.format(
                        i,
                        len(iterable),
                        eta=eta_string,
                        meters=str(self),
                        time=str(iter_time), data=str(data_time)))
                if writer:
                    step = epoch * len(iterable) + i
                    for key in self.meters:
                        writer.add_scalar(
                            f'{mode}/{key}/iter', 
                            self.meters[key].avg, 
                            step
                        )
                    writer.add_scalar(
                        f'{mode}/memory/iter', 
                        torch.cuda.max_memory_allocated() / MB, 
                        step
                    )
            i += 1
            end = time.time()
        total_time = time.time() - start_time
        total_time_str = str(datetime.timedelta(seconds=int(total_time)))
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log_utils.py [245:268]:
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                else:
                    print(log_msg.format(
                        i,
                        len(iterable),
                        eta=eta_string,
                        meters=str(self),
                        time=str(iter_time), data=str(data_time)))
                if writer:
                    step = epoch * len(iterable) + i
                    for key in self.meters:
                        writer.add_scalar(
                            f'{mode}/{key}/iter',
                            self.meters[key].avg,
                            step
                        )
                    writer.add_scalar(
                        f'{mode}/memory/iter',
                        torch.cuda.max_memory_allocated() / MB,
                        step
                    )
            i += 1
            end = time.time()
        total_time = time.time() - start_time
        total_time_str = str(datetime.timedelta(seconds=int(total_time)))
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