code: def network_structure_6():
      data1 = mx.sym.Variable(
          "data1", shape=(3, 3, 10, 10), dtype=onp.float32
      )
      data2 = mx.sym.Variable("data2", shape=(1, 0, 2, 2))
      data3 = mx.sym.sin(data2)
      conv = mx.sym.Convolution(
          data=data1, weight=data3, kernel=(2, 2), num_filter=1
      )
      return (conv, ["data1"], [(3, 3, 10, 10)])
  
imports: import os
  import sys
  import ctypes
  import mxnet
  from mxnet.base import SymbolHandle, check_call, _LIB, mx_uint, c_str_array, c_str, mx_real_t
  from mxnet.symbol import Symbol
  import numpy
  from mxnet.test_utils import assert_almost_equal, environment
  from mxnet import gluon
  from mxnet.gluon import nn
  from mxnet import nd, npx
  import pytest
  import tempfile
label_desc: Use image node_id 6 for calling a global function with example usage: network_structure_6() and returns: conv,  list,  list