code: def forward(self, x):
      res = npx.slice_channel(
          x, num_outputs=self.length, axis=1, squeeze_axis=1
      )
      out = []
      for i in range(self.length):
          out.append(self.convs(res[i]))
          out[i] = mx.np.expand_dims(out[i], axis=0)
      out = mx.np.concatenate(out)
      out = mx.np.reshape(out, ((self.length, -1)))
      out = self.fc(out)
      return npx.softmax(out)
  
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 2 for calling the FP32MultipleOutputs obj's underlying member method code with example usage: obj.forward(x) and returns: npx