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'

[kailashhambarde]

@ZwwWayne hello