class_docstr: Mock mdoel that does literaly nothing but holds a state
class_docstr_tok: ["Mock","mdoel","that","does","literaly","nothing","but","holds","a","state"]
code: def __init__(self):
      super().__init__()
      self.state = torch.nn.parameter.Parameter(torch.tensor([1.0]))
      self.optimizer = torch.nn.Module()
      self.schedulers = {}
      self.num_epochs = None
      self.num_batches = 0
      self.num_samples = -1
  
imports: import unittest
  import omegaconf
  from omegaconf import OmegaConf, DictConfig
  import os
  import sys
  import hydra
  import shutil
  import torch
  from mockdatasets import MockDatasetGeometric
  from torch_points3d.models.model_factory import instantiate_model
  from torch_points3d.utils.model_building_utils.model_definition_resolver import resolve_model
  from torch_points3d.metrics.model_checkpoint import ModelCheckpoint
label_desc: Use image node_id 1 to create a new MockModel object from inherited base classes: torch.nn with example: obj = MockModel()