Multi-gpu training get stacked at

[kailash-delvify]

val_dataloader = dict(
batch_size=1,
dataset=dict(
ann_file='val/annotations_val.json',
backend_args=None,
data_prefix=dict(img='val/images/'),
data_root='/Dados/kailash_data/long_range/split_data/',
metainfo=dict(classes=('person', ), palette=[
(
220,
20,
60,
),
]),
pipeline=[
dict(backend_args=None, type='LoadImageFromFile'),
dict(keep_ratio=True, scale=(
1333,
800,
), type='Resize'),
dict(type='LoadAnnotations', with_bbox=True),
dict(
meta_keys=(
'img_id',
'img_path',
'ori_shape',
'img_shape',
'scale_factor',
),
type='PackDetInputs'),
],
test_mode=True,
type='CocoDataset'),
drop_last=False,
num_workers=2,
persistent_workers=True,
sampler=dict(shuffle=False, type='DefaultSampler'))
val_evaluator = dict(
ann_file=
'/Dados/kailash_data/long_range/split_data/val/annotations_val.json',
backend_args=None,
format_only=False,
metric='bbox',
type='CocoMetric')
vis_backends = [
dict(type='LocalVisBackend'),
]
visualizer = dict(
name='visualizer',
type='DetLocalVisualizer',
vis_backends=[
dict(type='LocalVisBackend'),
])
work_dir = '/home/kailash/projects/mmdetection/work_dirs'