code: def forward(self, x):
      return self.run_onnx({"x": x}, debug=False)["predictions"]
  
file_path: tinygrad/examples/compile_tensorflow.py
imports: import os, sys
  import numpy
  import subprocess
  import tensorflow
  import tf2onnx
  from extra.onnx import get_run_onnx
  from tinygrad.tensor import Tensor
  from extra.export_model import export_model_clang, compile_net, jit_model
label_desc: Use image node_id 2 for calling the TinyOnnx obj's underlying member method code with example usage: obj.forward(x) and returns: self