code: def _pytorch_model_is_fully_initialized(clf: BaseEstimator):
      if all(
          [
              hasattr(clf, "network"),
              hasattr(clf, "loss_function"),
              hasattr(clf, "optimizer"),
              hasattr(clf, "data_loader"),
              hasattr(clf, "train_dset_len"),
              hasattr(clf, "device"),
          ]
      ):
          return True
      else:
          return False
  
imports: from abc import abstractmethod
  import numpy
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.utils.validation import check_X_y, assert_all_finite, check_array, check_is_fitted
  from sklearn.utils.multiclass import type_of_target
label_desc: Use image node_id 1 for calling a global function with example usage: _pytorch_model_is_fully_initialized(clf) and returns: True, False