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Implement DDP static_graph=True #6940

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May 13, 2022
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11 changes: 7 additions & 4 deletions train.py
Original file line number Diff line number Diff line change
Expand Up @@ -47,9 +47,9 @@
from utils.datasets import create_dataloader
from utils.downloads import attempt_download
from utils.general import (LOGGER, check_dataset, check_file, check_git_status, check_img_size, check_requirements,
check_suffix, check_yaml, colorstr, get_latest_run, increment_path, init_seeds,
intersect_dicts, is_ascii, labels_to_class_weights, labels_to_image_weights, methods,
one_cycle, print_args, print_mutation, strip_optimizer)
check_suffix, check_version, check_yaml, colorstr, get_latest_run, increment_path,
init_seeds, intersect_dicts, is_ascii, labels_to_class_weights, labels_to_image_weights,
methods, one_cycle, print_args, print_mutation, strip_optimizer)
from utils.loggers import Loggers
from utils.loggers.wandb.wandb_utils import check_wandb_resume
from utils.loss import ComputeLoss
Expand Down Expand Up @@ -269,7 +269,10 @@ def train(hyp, opt, device, callbacks): # hyp is path/to/hyp.yaml or hyp dictio

# DDP mode
if cuda and RANK != -1:
model = DDP(model, device_ids=[LOCAL_RANK], output_device=LOCAL_RANK)
if check_version(torch.__version__, '1.11.0'):
model = DDP(model, device_ids=[LOCAL_RANK], output_device=LOCAL_RANK, static_graph=True)
else:
model = DDP(model, device_ids=[LOCAL_RANK], output_device=LOCAL_RANK)

# Model attributes
nl = de_parallel(model).model[-1].nl # number of detection layers (to scale hyps)
Expand Down