code: def resnet50_train_params():
      model = resnet50(pretrained=False)
      return {
          "model": model,
          "optimizer": SGD,
          "weight_decay": 1e-4,
          "lr": 0.1,
          "lr_decay_rate": None,
          "lr_step_size": None,
      }
  
imports: import torch
  from torch.optim import SGD
  from torchvision.models import resnet50, inception_v3, mobilenet_v2, densenet121
label_desc: Use image node_id 1 for calling a global function with example usage: resnet50_train_params() and returns: dict