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[Update] Print training log in rank0 #1296

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[Update] Print training log in rank0 #1296

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9 changes: 4 additions & 5 deletions megatron/training/training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,6 @@
check_adlr_autoresume_termination,
is_last_rank,
print_rank_0,
print_rank_last,
report_memory,
unwrap_model,
append_to_progress_log,
Expand Down Expand Up @@ -1047,7 +1046,7 @@ def training_log(loss_dict, total_loss_dict, learning_rate, decoupled_learning_r
total_loss_dict[advanced_iters_key] = 0
total_loss_dict[skipped_iters_key] = 0
total_loss_dict[nan_iters_key] = 0
print_rank_last(log_string)
print_rank_0(log_string)
if report_memory_flag and learning_rate > 0.:
# Report memory after optimizer state has been initialized.
if torch.distributed.get_rank() == 0:
Expand Down Expand Up @@ -1662,9 +1661,9 @@ def evaluate_and_print_results(prefix, forward_step_func,
process_non_loss_data_func(collected_non_loss_data, iteration, writer)

length = len(string) + 1
print_rank_last('-' * length)
print_rank_last(string)
print_rank_last('-' * length)
print_rank_0('-' * length)
print_rank_0(string)
print_rank_0('-' * length)


def cyclic_iter(iter):
Expand Down