code: def test_multi_input_model_export(self):
      model = MockMultiInputModel()
      inputs = [Tensor.rand(2, 2), Tensor.rand(2, 2), Tensor.rand(2, 2)]
      prg, inp_sizes, _, _ = export_model(model, "", *inputs)
      prg = json.loads(prg)
  
      assert (
          len(inputs) == len(prg["inputs"]) == len(inp_sizes)
      ), f"Model and exported inputs don't match: mdl={len(inputs)}, prg={len(prg['inputs'])}, inp_sizes={len(inp_sizes)}"  # noqa: E501
  
      for i in range(len(inputs)):
          assert (
              f"input{i}" in inp_sizes
          ), f"input{i} not captured in inp_sizes"
          assert (
              f"input{i}" in prg["buffers"]
          ), f"input{i} not captured in exported buffers"
  
      for i, exported_input in enumerate(prg["inputs"]):
          assert (
              inputs[i].dtype.name == exported_input["dtype"]
          ), f"Model and exported input dtype don't match: mdl={inputs[i].dtype.name}, prg={exported_input['dtype']}"
  
file_path: tinygrad/test/extra/test_export_model.py
imports: import unittest
  from extra.export_model import export_model, EXPORT_SUPPORTED_DEVICE
  from tinygrad.tensor import Tensor, Device
  import json
label_desc: Use image node_id 1 for calling the TextModelExport obj's underlying member method code with example usage: obj.test_multi_input_model_export() without return types