code: def _assume_tf_dilation_gt_1(backend_fw, on_device, dilations):
      if backend_fw == "tensorflow":
          assume(
              not (
                  on_device == "cpu" and (dilations > 1)
                  if isinstance(dilations, int)
                  else any(d > 1 for d in dilations)
              )
          )
  
imports: from hypothesis import strategies, assume
  import ivy
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test
  from ivy.functional.ivy.layers import _deconv_length, _pack_padded_sequence
label_desc: Use image node_id 1 for calling a global function with example usage: _assume_tf_dilation_gt_1(backend_fw, on_device, dilations) without return types