Traceback (most recent call last):
File "D:\code\git-DS\EfficientAD\efficientad.py", line 451, in
main()
File "D:\code\git-DS\EfficientAD\efficientad.py", line 268, in main
q_st_start, q_st_end, q_ae_start, q_ae_end = map_normalization(
File "C:\Users\2878045\AppData\Roaming\Python\Python39\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "D:\code\git-DS\EfficientAD\efficientad.py", line 374, in map_normalization
q_st_start = torch.quantile(maps_st, q=0.9)
RuntimeError: quantile() input tensor is too large
Traceback (most recent call last): File "D:\code\git-DS\EfficientAD\efficientad.py", line 451, in
main()
File "D:\code\git-DS\EfficientAD\efficientad.py", line 268, in main
q_st_start, q_st_end, q_ae_start, q_ae_end = map_normalization(
File "C:\Users\2878045\AppData\Roaming\Python\Python39\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "D:\code\git-DS\EfficientAD\efficientad.py", line 374, in map_normalization
q_st_start = torch.quantile(maps_st, q=0.9)
RuntimeError: quantile() input tensor is too large
anyone solve this?