code: def get_tvm_inputs(self, dtype):
      return {
          "input": tvm.nd.array(
              self.dummy_inputs[0].numpy().astype(dtype)
          ),
          "h0": tvm.nd.array(
              self.dummy_inputs[1][0].numpy().astype(dtype)
          ),
          "c0": tvm.nd.array(
              self.dummy_inputs[1][1].numpy().astype(dtype)
          ),
      }
  
imports: import torch
  import tvm
  import tvm.testing
  import onnx
  import io
  import sys
  from tvm import relay
  from tvm.contrib import graph_executor
  from torch import nn
label_desc: Use image node_id 6 for calling the LSTM_Model obj's underlying member method code with example usage: obj.get_tvm_inputs(dtype) and returns: dict