code: def model_configs_no_input_dim(request):
      return request.param
  
imports: import os
  from copy import deepcopy
  import numpy
  import pytest
  import torch
  from pythae.customexception import BadInheritanceError
  from pythae.models import Adversarial_AE, Adversarial_AE_Config, AutoModel
  from pythae.models.base.base_utils import ModelOutput
  from pythae.pipelines import GenerationPipeline, TrainingPipeline
  from pythae.samplers import GaussianMixtureSamplerConfig, IAFSamplerConfig, MAFSamplerConfig, NormalSamplerConfig, TwoStageVAESamplerConfig
  from pythae.trainers import AdversarialTrainer, AdversarialTrainerConfig, BaseTrainerConfig
  from tests.data.custom_architectures import Decoder_AE_Conv, Discriminator_MLP_Custom, Encoder_VAE_Conv, NetBadInheritance
label_desc: Use image node_id 1 for calling a global function with example usage: model_configs_no_input_dim(request) and returns: request