code: def test_conv2d_reduce_channels():
      x = relay.var("data", shape=(1, 8, 48, 48))
      y = relay.nn.conv2d(
          data=x,
          weight=relay.var("weight"),
          kernel_size=(1, 1),
          channels=8,
          dilation=1,
          strides=(47, 47),
      )
      z = relay.argmin(y, axis=1)
  
      mod, params = testing.create_workload(z)
  
      with tvm.transform.PassContext(opt_level=3):
          relay.build(mod, params=params, target="llvm")
  
imports: import pytest
  import tvm
  from tvm import relay, topi
  from tvm.relay import transform, analysis
  from tvm.relay.testing.temp_op_attr import TempOpAttr
  from tvm.relay.testing import run_infer_type
  import numpy
  import tvm.testing
  from tvm.relay import testing
label_desc: Use image node_id 31 for calling a global function with example usage: test_conv2d_reduce_channels() without return types