code: def is_variable(x, /, *, exclusive: bool = False):
      return isinstance(x, torch.Tensor) and x.requires_grad
  
file_path: ivy/ivy/functional/backends/torch/gradients.py
imports: import torch
  from typing import Optional, Callable, Sequence, Union
  import ivy
  from ivy.func_wrapper import outputs_to_ivy_arrays, inputs_to_native_arrays
  from ivy.functional.ivy.gradients import _get_required_float_variables, _get_y_and_ret_idxs, _get_native_y, _set_duplicates, _process_func_ret_and_grads
label_desc: Use image node_id 2 for calling a global function with example usage: is_variable() and returns: unknown