code: def test_avg_pool3d(
      *,
      x_k_s_p,
      count_include_pad,
      ceil_mode,
      divisor_override,
      test_flags,
      backend_fw,
      fn_name,
      on_device,
  ):
      dtype, x, kernel, stride, pad = x_k_s_p
      helpers.test_function(
          input_dtypes=dtype,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_name=fn_name,
          on_device=on_device,
          rtol_=1e-1,
          atol_=1e-1,
          x=x[0],
          kernel=kernel,
          strides=stride,
          padding=pad,
          count_include_pad=count_include_pad,
          ceil_mode=ceil_mode,
          divisor_override=divisor_override,
      )
  
imports: import numpy
  import torch
  from hypothesis import strategies, assume
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
label_desc: Use image node_id 19 for calling a global function with example usage: test_avg_pool3d() without return types