code: def _sample_float_tensor(self) -> TensorProto:
      np_array = np.random.randn(2, 3).astype(np.float32)
      return helper.make_tensor(
          name="test",
          data_type=TensorProto.FLOAT,
          dims=(2, 3),
          vals=np_array.reshape(6).tolist(),
      )
  
imports: import os
  import tempfile
  import unittest
  from typing import Sequence
  import numpy
  import onnx.defs
  import onnx.parser
  from onnx import GraphProto, SparseTensorProto, TensorProto, checker, helper, numpy_helper, shape_inference
label_desc: Use image node_id 1 for calling the TestChecker obj's underlying member method code with example usage: obj._sample_float_tensor() and returns: helper