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=> using 'cuda' for computation.
=> checking ckpt dir...
=> creating model and optimizer...
Traceback (most recent call last):
File "main.py", line 238, in
main()
File "main.py", line 126, in main
model = nets.dictargs['arch'] + 'Backbone'.to(device)
File "/home/hdp/EFGH/nets/efghbackbone.py", line 16, in init
self.E = Enet(args)
File "/home/hdp/EFGH/nets/enet.py", line 22, in init
self.generate_data = GenerateData(dim, scales_filter_map, self.device)
File "/home/hdp/EFGH/nets/generate_data.py", line 51, in init
traversal.go(center, hash_table)
File "/home/hdp/EFGH/nets/transforms.py", line 111, in go
self.walk_cuboid(start_key, 0, False, walking_keys, hash_table_list)
File "/home/hdp/EFGH/nets/transforms.py", line 119, in walk_cuboid
self.walk_cuboid(walking_keys[d], d + 1, has_zero or (i == 0), walking_keys, hash_table_list)
File "/home/hdp/EFGH/nets/transforms.py", line 119, in walk_cuboid
self.walk_cuboid(walking_keys[d], d + 1, has_zero or (i == 0), walking_keys, hash_table_list)
File "/home/hdp/EFGH/nets/transforms.py", line 119, in walk_cuboid
self.walk_cuboid(walking_keys[d], d + 1, has_zero or (i == 0), walking_keys, hash_table_list)
File "/home/hdp/EFGH/nets/transforms.py", line 120, in walk_cuboid
walking_keys[d] = advance_in_dimension(self.d + 1, 1, d, walking_keys[d])
TypeError: expected dtype object, got 'numpy.dtype[int64]'
The text was updated successfully, but these errors were encountered:
I installed numba and encountered the following error
ImportError: cannot import name 'cffi_support' from 'numba' (/home/hdp/anaconda3/envs/efgh/lib/python3.8/site-packages/numba/init.py)
May I ask which version is correct?
=> using 'cuda' for computation.
=> checking ckpt dir...
=> creating model and optimizer...
Traceback (most recent call last):
File "main.py", line 238, in
main()
File "main.py", line 126, in main
model = nets.dictargs['arch'] + 'Backbone'.to(device)
File "/home/hdp/EFGH/nets/efghbackbone.py", line 16, in init
self.E = Enet(args)
File "/home/hdp/EFGH/nets/enet.py", line 22, in init
self.generate_data = GenerateData(dim, scales_filter_map, self.device)
File "/home/hdp/EFGH/nets/generate_data.py", line 51, in init
traversal.go(center, hash_table)
File "/home/hdp/EFGH/nets/transforms.py", line 111, in go
self.walk_cuboid(start_key, 0, False, walking_keys, hash_table_list)
File "/home/hdp/EFGH/nets/transforms.py", line 119, in walk_cuboid
self.walk_cuboid(walking_keys[d], d + 1, has_zero or (i == 0), walking_keys, hash_table_list)
File "/home/hdp/EFGH/nets/transforms.py", line 119, in walk_cuboid
self.walk_cuboid(walking_keys[d], d + 1, has_zero or (i == 0), walking_keys, hash_table_list)
File "/home/hdp/EFGH/nets/transforms.py", line 119, in walk_cuboid
self.walk_cuboid(walking_keys[d], d + 1, has_zero or (i == 0), walking_keys, hash_table_list)
File "/home/hdp/EFGH/nets/transforms.py", line 120, in walk_cuboid
walking_keys[d] = advance_in_dimension(self.d + 1, 1, d, walking_keys[d])
TypeError: expected dtype object, got 'numpy.dtype[int64]'
The text was updated successfully, but these errors were encountered: