code: def _get_model(dshape):
      data = relay.var("data", shape=dshape)
      fc = relay.nn.dense(
          data, relay.var("dense_weight"), units=dshape[-1] * 2
      )
      fc = relay.nn.bias_add(fc, relay.var("dense_bias"))
      left, right = relay.split(fc, indices_or_sections=2, axis=1)
      one = relay.const(1, dtype="float32")
      return relay.Tuple([(left + one), (right - one), fc])
  
file_path: tvm/rust/tvm-graph-rt/tests/build_model.py
imports: from os import path
  import numpy
  import tvm
  from tvm import te
  from tvm import relay, runtime
  from tvm.relay import testing
label_desc: Use image node_id 1 for calling a global function with example usage: _get_model(dshape) and returns: relay