code: def __init__(self, keras_model):
      input_signature = [tf.TensorSpec([1, 32], tf.float32, name="x")]
      onnx_model, _ = tf2onnx.convert.from_keras(
          keras_model, input_signature, opset=13
      )
      self.run_onnx = get_run_onnx(onnx_model)
  
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 1 to create a new TinyOnnx object  with example: obj = TinyOnnx(keras_model)