code: def _get_config(self, model_config):
      return {
          "name": "classification_task",
          "num_epochs": 12,
          "loss": {"name": "test_loss"},
          "dataset": {
              "name": "imagenet",
              "batchsize_per_replica": 8,
              "use_pairs": False,
              "num_samples_per_phase": None,
              "use_shuffle": {"train": True, "test": False},
          },
          "meters": [],
          "model": model_config,
          "optimizer": {"name": "test_opt"},
      }
  
file_path: ClassyVision/test/manual/models_classy_vision_model_test.py
imports: import copy
  import unittest
  from collections import defaultdict
  import torch
  from classy_vision.heads import build_head
  from classy_vision.models import build_model, ClassyModel
  from test.generic.config_utils import get_test_model_configs
  from test.generic.utils import compare_model_state
label_desc: Use image node_id 1 for calling the TestClassyModel obj's underlying member method code with example usage: obj._get_config(model_config) and returns: dict