class_docstr: Proxyless version of differentiable input choice.
  See :class:`ProxylessMixedLayer` for implementation details.
class_docstr_tok: ["Proxyless","version","of","differentiable","input","choice",".","See",":","class",":","`","ProxylessMixedLayer","`","for","implementation","details","."]
code: def forward_path(self, index, *inputs):
      return inputs[index]
  
imports: from __future__ import annotations
  from typing import Any, cast
  import torch
  import torch.nn
  from nni.mutable import Categorical, Mutable, Sample, SampleValidationError, MutableExpression, label_scope, auto_label
  from nni.nas.nn.pytorch import Repeat, recursive_freeze
  from .base import BaseSuperNetModule
  from .differentiable import DifferentiableMixedLayer, DifferentiableMixedInput
  from ._expression_utils import traverse_all_options
label_desc: Use image node_id 3 for calling the ProxylessMixedInput obj's underlying member method code with example usage: obj.forward_path(index) and returns: inputs