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DDP after autoanchor reorder (#2421)

pull/3177/head
Glenn Jocher 2021-03-09 23:43:46 -08:00 committed by GitHub
parent d5ca8ca34e
commit 886f1c03d8
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1 changed files with 5 additions and 5 deletions
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train.py
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@ -181,10 +181,6 @@ def train(hyp, opt, device, tb_writer=None, wandb=None):
model = torch.nn.SyncBatchNorm.convert_sync_batchnorm(model).to(device)
logger.info('Using SyncBatchNorm()')
# DDP mode
if cuda and rank != -1:
model = DDP(model, device_ids=[opt.local_rank], output_device=opt.local_rank)
# Trainloader
dataloader, dataset = create_dataloader(train_path, imgsz, batch_size, gs, opt,
hyp=hyp, augment=True, cache=opt.cache_images, rect=opt.rect, rank=rank,
@ -214,7 +210,11 @@ def train(hyp, opt, device, tb_writer=None, wandb=None):
# Anchors
if not opt.noautoanchor:
check_anchors(dataset, model=model, thr=hyp['anchor_t'], imgsz=imgsz)
model.half().float() # pre-reduce anchor precision
model.half().float() # pre-reduce anchor precision
# DDP mode
if cuda and rank != -1:
model = DDP(model, device_ids=[opt.local_rank], output_device=opt.local_rank)
# Model parameters
hyp['box'] *= 3. / nl # scale to layers