code: def __init__(self, **kwargs):
      super(FP32MultipleInputs, self).__init__(**kwargs)
      self.conv1 = mx.gluon.nn.Conv2D(
          channels=64, kernel_size=(1, 1), use_bias=False
      )
      self.bn1 = mx.gluon.nn.BatchNorm()
      self.conv2 = mx.gluon.nn.Conv2D(
          channels=64, kernel_size=(1, 1), use_bias=False
      )
      self.bn2 = mx.gluon.nn.BatchNorm()
  
imports: import os
  import mxnet
  import numpy
  from mxnet import npx
  from mxnet.util import use_np
  from mxnet.gluon.model_zoo import vision
  from mxnet.test_utils import assert_almost_equal, assert_exception, rand_ndarray, rand_shape_nd, same, DummyIter
  from common import xfail_when_nonstandard_decimal_separator
  from mxnet.io import NDArrayIter
  import unittest
  import operator
label_desc: Use image node_id 1 to create a new FP32MultipleInputs object from inherited base classes: mx.gluon.nn with example: obj = FP32MultipleInputs()