code: def ExpandedConvSequence(
      t, k, inp, oup, repeats, first_strides, **kwargs
  ):
      seq = nn.HybridSequential(**kwargs)
      with seq.name_scope():
          seq.add(
              ExpandedConv(
                  inp, oup, t, first_strides, k, same_shape=False
              )
          )
          curr_inp = oup
          for i in range(1, repeats):
              seq.add(ExpandedConv(curr_inp, oup, t, 1))
              curr_inp = oup
      return seq
  
imports: import sys
  import os
  import mxnet
  import mxnet.ndarray
  import mxnet.gluon
  import mxnet.gluon.nn
  import mxnet.autograd
  import symbol_utils
  from config import config
label_desc: Use image node_id 5 for calling a global function with example usage: ExpandedConvSequence(t, k, inp, oup, repeats, first_strides) and returns: seq