code: def jit_marginal(equation, *operands, **kwargs):
      return _jit_adjoint(
          equation,
          *operands,
          backend="pyro.ops.einsum.torch_marginal",
          **kwargs,
      )
  
file_path: pyro/examples/einsum.py
imports: import argparse
  import timeit
  import torch
  from torch.autograd import grad
  from pyro.ops.contract import einsum
  from pyro.ops.einsum.adjoint import require_backward
  from pyro.util import ignore_jit_warnings
label_desc: Use image node_id 7 for calling a global function with example usage: jit_marginal(equation) and returns: _jit_adjoint