code: def test_tensorflow_conv1d(
      *,
      x_f_d_df,
      frontend,
      test_flags,
      fn_tree,
      backend_fw,
      on_device,
  ):
      (
          input_dtype,
          x,
          filters,
          dilations,
          data_format,
          stride,
          pad,
      ) = x_f_d_df
      helpers.test_frontend_function(
          input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          input=x,
          filters=filters,
          stride=stride,
          padding=pad,
          data_format=data_format,
          dilations=dilations,
      )
  
imports: from hypothesis import assume, strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_core.test_statistical import _statistical_dtype_values
  from ivy_tests.test_ivy.test_functional.test_nn.test_layers import _assume_tf_dilation_gt_1, _output_shape
label_desc: Use image node_id 18 for calling a global function with example usage: test_tensorflow_conv1d() without return types