Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

DO NOT MERGE #402

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
+666 −1
Open

DO NOT MERGE #402

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 4 additions & 1 deletion flagscale/train/train.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,8 @@
from megatron.training.log_handler import CustomHandler
# Make default logging level INFO, but filter out all log messages not from MCore.
logging.basicConfig(handlers=[CustomHandler()], level=logging.INFO)
from megatron.training.theoretical_memory_usage import report_theoretical_memory
# from megatron.training.theoretical_memory_usage import report_theoretical_memory
from megatron.training.theoretical_memory_usage_zyl import report_theoretical_memory
import time
# The earliest we can measure the start time.
_TRAIN_START_TIME = time.time()
Expand Down Expand Up @@ -362,6 +363,8 @@ def pretrain(
else:
checkpointing_context = {}

report_theoretical_memory(args, None, verbose=True)

# Model, optimizer, and learning rate.
timers('model-and-optimizer-setup', log_level=0).start(barrier=True)
app_metrics['app_build_optimizer_start_time'] = one_logger_utils.get_timestamp_in_ms()
Expand Down
Loading
Loading