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Thank you very much for your interesting work.
I am very interested in this work, but I have the following problem when I run the code.
I look forward to receiving your answers.
Traceback (most recent call last):
File "D:\anaconda\envs\torch\lib\runpy.py", line 183, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, Error)
File "D:\anaconda\envs\torch\lib\runpy.py", line 109, in get_module_details import(pkg_name)
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\experiments\morphomnist_init.py", line 3, in
from . import sem_vi # noqa: F401
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\experiments\morphomnist\sem_vi_init.py", line 1, in
from .base_sem_experiment import SVIExperiment
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\experiments\morphomnist\sem_vi\base_sem_experiment.py", line 16, in
from deepscm.distributions.deep import DeepMultivariateNormal, DeepIndepNormal, Conv2dIndepNormal, DeepLowRankMultivariateNormal
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\distributions\deep.py", line 8, in
from .params import MixtureParams
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\distributions\params.py", line 8, in
from .mixture import Mixture
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\distributions\mixture.py", line 14, in
class Mixture(TorchDistribution, Generic[T]):
TypeError: metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases
The text was updated successfully, but these errors were encountered:
Thank you very much for your interesting work.
I am very interested in this work, but I have the following problem when I run the code.
I look forward to receiving your answers.
Traceback (most recent call last):
File "D:\anaconda\envs\torch\lib\runpy.py", line 183, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, Error)
File "D:\anaconda\envs\torch\lib\runpy.py", line 109, in get_module_details
import(pkg_name)
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\experiments\morphomnist_init.py", line 3, in
from . import sem_vi # noqa: F401
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\experiments\morphomnist\sem_vi_init.py", line 1, in
from .base_sem_experiment import SVIExperiment
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\experiments\morphomnist\sem_vi\base_sem_experiment.py", line 16, in
from deepscm.distributions.deep import DeepMultivariateNormal, DeepIndepNormal, Conv2dIndepNormal, DeepLowRankMultivariateNormal
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\distributions\deep.py", line 8, in
from .params import MixtureParams
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\distributions\params.py", line 8, in
from .mixture import Mixture
File "C:\Users\admin\Downloads\deepscm-master (1)\deepscm-master\deepscm\distributions\mixture.py", line 14, in
class Mixture(TorchDistribution, Generic[T]):
TypeError: metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases
The text was updated successfully, but these errors were encountered: