code: def random_inside_unit_circle(shape, requires_grad=False):
      x = torch.randn(shape)
      x = x / (1 + x.pow(2).sum(-1, True))
      assert (x.pow(2).sum(-1) < 1).all()
      x = x.detach()
      if requires_grad:
          x.requires_grad = requires_grad
      return x
  
file_path: pyro/tests/ops/test_newton.py
imports: import itertools
  import logging
  import pytest
  import torch
  from torch.autograd import grad
  from pyro.ops.newton import newton_step
  from tests.common import assert_equal
label_desc: Use image node_id 1 for calling a global function with example usage: random_inside_unit_circle(shape, requires_grad) and returns: x