code: def get_image_classifier_mx_model():
      import mxnet  # lgtm [py/import-and-import-from]
  
      # TODO needs to be made parameterizable once Mxnet allows multiple identical models to be created in one session
      from_logits = True
  
      class Model(mxnet.gluon.nn.Block):
          def __init__(self, **kwargs):
              super(Model, self).__init__(**kwargs)
              self.model = mxnet.gluon.nn.Sequential()
              self.model.add(
                  mxnet.gluon.nn.Conv2D(
                      channels=1,
                      kernel_size=7,
                      activation="relu",
                  ),
                  mxnet.gluon.nn.MaxPool2D(pool_size=4, strides=4),
                  mxnet.gluon.nn.Flatten(),
                  mxnet.gluon.nn.Dense(
                      10,
                      activation=None,
                  ),
              )
  
          def forward(self, x):
              y = self.model(x)
              if from_logits:
                  return y
  
              return y.softmax()
  
      model = Model()
      custom_init = get_image_classifier_mxnet_custom_ini()
      model.initialize(init=custom_init)
      return model
  
imports: import importlib
  import json
  import logging
  import os
  import shutil
  import tempfile
  from typing import Dict, List, TYPE_CHECKING, Union
  import warnings
  import numpy
  import pytest
  import requests
  from art.data_generators import KerasDataGenerator, MXDataGenerator, PyTorchDataGenerator, TensorFlowDataGenerator, TensorFlowV2DataGenerator
  from art.defences.preprocessor import FeatureSqueezing, JpegCompression, SpatialSmoothing
  from art.estimators.classification import KerasClassifier
  from tests.utils import ARTTestFixtureNotImplemented, get_attack_classifier_pt, get_image_classifier_kr, get_image_classifier_kr_functional, get_image_classifier_kr_tf, get_image_classifier_kr_tf_functional, get_image_classifier_kr_tf_with_wildcard, get_image_classifier_mxnet_custom_ini, get_image_classifier_pt, get_image_classifier_pt_functional, get_image_classifier_tf, get_image_classifier_hf, get_image_gan_tf_v2, get_image_generator_tf_v2, get_tabular_classifier_kr, get_tabular_classifier_pt, get_tabular_classifier_scikit_list, get_tabular_classifier_tf, load_dataset, master_seed
label_desc: Use image node_id 11 for calling a global function with example usage: get_image_classifier_mx_model() and returns: model, y, y