Another transport will be used instead, although this may result in
lower performance.
NOTE: You can disable this warning by setting the MCA parameter
btl_base_warn_component_unused to 0.
07/15/2021 08:44:23 - INFO - main - device: cuda:0 n_gpu: 1, rank: 0, 16-bits training: True
07/15/2021 08:44:24 - INFO - main - Waiting on git info....
07/15/2021 08:44:24 - INFO - main - Git branch: master
07/15/2021 08:44:24 - INFO - main - Git SHA: 1dbfa62bb8ddb1f2b11d20775ce324c5e45a3ab4
0%| | 0/200000 [00:00<?, ?it/s]Traceback (most recent call last):
File "pretrain.py", line 642, in
main(args)
File "pretrain.py", line 206, in main
opts.train_datasets, True, opts)
File "pretrain.py", line 125, in create_dataloaders
img_db = [all_img_dbs[path] for path in dset['img']]
File "pretrain.py", line 125, in
img_db = [all_img_dbs[path] for path in dset['img']]
File "/userhome/UNITER/UNITER/data/data.py", line 311, in getitem
self.min_bb, self.num_bb, self.compress)
File "/userhome/UNITER/UNITER/data/data.py", line 75, in init
readahead=not _check_distributed())
lmdb.Error: /userhome/UNITER/UNITER/img/coco_train2014/all: No such file or directory
Exception ignored in: <bound method DetectFeatLmdb.del of <data.data.DetectFeatLmdb object at 0x7f70a2ae57f0>>
Traceback (most recent call last):
File "/userhome/UNITER/UNITER/data/data.py", line 98, in del
self.env.close()
AttributeError: 'DetectFeatLmdb' object has no attribute 'env'
Another transport will be used instead, although this may result in
lower performance.
NOTE: You can disable this warning by setting the MCA parameter
btl_base_warn_component_unused to 0.
07/15/2021 08:49:38 - INFO - main - device: cuda:0 n_gpu: 1, rank: 0, 16-bits training: True
07/15/2021 08:49:38 - INFO - main - Waiting on git info....
07/15/2021 08:49:38 - INFO - main - Git branch: master
07/15/2021 08:49:38 - INFO - main - Git SHA: 1dbfa62bb8ddb1f2b11d20775ce324c5e45a3ab4
0%| | 0/200000 [00:00<?, ?it/s]Traceback (most recent call last):
File "pretrain.py", line 642, in
main(args)
File "pretrain.py", line 206, in main
opts.train_datasets, True, opts)
File "pretrain.py", line 125, in create_dataloaders
img_db = [all_img_dbs[path] for path in dset['img']]
File "pretrain.py", line 125, in
img_db = [all_img_dbs[path] for path in dset['img']]
File "/userhome/UNITER/UNITER/data/data.py", line 311, in getitem
self.min_bb, self.num_bb, self.compress)
File "/userhome/UNITER/UNITER/data/data.py", line 75, in init
readahead=not _check_distributed())
lmdb.Error: /userhome/UNITER/UNITER/img/coco_train2014/all: No such file or directory
Exception ignored in: <bound method DetectFeatLmdb.del of <data.data.DetectFeatLmdb object at 0x7f640cfec908>>
Traceback (most recent call last):
File "/userhome/UNITER/UNITER/data/data.py", line 98, in del
self.env.close()
AttributeError: 'DetectFeatLmdb' object has no attribute 'env'
============================================
Many bugs in this code. Any plan for the update of this code?
cherlw
commented
1 year ago
(base) root@e3ff8e900e504011eb09ab60a9de5c5cd03e-wangx3189-0:/userhome/UNITER/UNITER# rm -rf output && python pretrain.py --config config/pretrain-alldata-base-8gpu.json --output_dir /userhome/UNITER/UNITER/output/
[[48719,1],0]: A high-performance Open MPI point-to-point messaging module was unable to find any relevant network interfaces:
Module: OpenFabrics (openib) Host: e3ff8e900e504011eb09ab60a9de5c5cd03e-wangx3189-0
Another transport will be used instead, although this may result in lower performance.
NOTE: You can disable this warning by setting the MCA parameter btl_base_warn_component_unused to 0.
07/15/2021 08:44:23 - INFO - main - device: cuda:0 n_gpu: 1, rank: 0, 16-bits training: True 07/15/2021 08:44:24 - INFO - main - Waiting on git info.... 07/15/2021 08:44:24 - INFO - main - Git branch: master 07/15/2021 08:44:24 - INFO - main - Git SHA: 1dbfa62bb8ddb1f2b11d20775ce324c5e45a3ab4 0%| | 0/200000 [00:00<?, ?it/s]Traceback (most recent call last): File "pretrain.py", line 642, in
main(args)
File "pretrain.py", line 206, in main
opts.train_datasets, True, opts)
File "pretrain.py", line 125, in create_dataloaders
img_db = [all_img_dbs[path] for path in dset['img']]
File "pretrain.py", line 125, in
img_db = [all_img_dbs[path] for path in dset['img']]
File "/userhome/UNITER/UNITER/data/data.py", line 311, in getitem
self.min_bb, self.num_bb, self.compress)
File "/userhome/UNITER/UNITER/data/data.py", line 75, in init
readahead=not _check_distributed())
lmdb.Error: /userhome/UNITER/UNITER/img/coco_train2014/all: No such file or directory
Exception ignored in: <bound method DetectFeatLmdb.del of <data.data.DetectFeatLmdb object at 0x7f70a2ae57f0>>
Traceback (most recent call last):
File "/userhome/UNITER/UNITER/data/data.py", line 98, in del
self.env.close()
AttributeError: 'DetectFeatLmdb' object has no attribute 'env'
(base) root@e3ff8e900e504011eb09ab60a9de5c5cd03e-wangx3189-0:/userhome/UNITER/UNITER# (base) root@e3ff8e900e504011eb09ab60a9de5c5cd03e-wangx3189-0:/userhome/UNITER/UNITER# (base) root@e3ff8e900e504011eb09ab60a9de5c5cd03e-wangx3189-0:/userhome/UNITER/UNITER# (base) root@e3ff8e900e504011eb09ab60a9de5c5cd03e-wangx3189-0:/userhome/UNITER/UNITER# rm -rf output && python pretrain.py --config config/pretrain-indomain-base-8gpu.json --output_dir /userhome/UNITER/UNITER/output/
[[47594,1],0]: A high-performance Open MPI point-to-point messaging module was unable to find any relevant network interfaces:
Module: OpenFabrics (openib) Host: e3ff8e900e504011eb09ab60a9de5c5cd03e-wangx3189-0
Another transport will be used instead, although this may result in lower performance.
NOTE: You can disable this warning by setting the MCA parameter btl_base_warn_component_unused to 0.
07/15/2021 08:49:38 - INFO - main - device: cuda:0 n_gpu: 1, rank: 0, 16-bits training: True 07/15/2021 08:49:38 - INFO - main - Waiting on git info.... 07/15/2021 08:49:38 - INFO - main - Git branch: master 07/15/2021 08:49:38 - INFO - main - Git SHA: 1dbfa62bb8ddb1f2b11d20775ce324c5e45a3ab4 0%| | 0/200000 [00:00<?, ?it/s]Traceback (most recent call last): File "pretrain.py", line 642, in
main(args)
File "pretrain.py", line 206, in main
opts.train_datasets, True, opts)
File "pretrain.py", line 125, in create_dataloaders
img_db = [all_img_dbs[path] for path in dset['img']]
File "pretrain.py", line 125, in
img_db = [all_img_dbs[path] for path in dset['img']]
File "/userhome/UNITER/UNITER/data/data.py", line 311, in getitem
self.min_bb, self.num_bb, self.compress)
File "/userhome/UNITER/UNITER/data/data.py", line 75, in init
readahead=not _check_distributed())
lmdb.Error: /userhome/UNITER/UNITER/img/coco_train2014/all: No such file or directory
Exception ignored in: <bound method DetectFeatLmdb.del of <data.data.DetectFeatLmdb object at 0x7f640cfec908>>
Traceback (most recent call last):
File "/userhome/UNITER/UNITER/data/data.py", line 98, in del
self.env.close()
AttributeError: 'DetectFeatLmdb' object has no attribute 'env'
============================================ Many bugs in this code. Any plan for the update of this code?