code: def test_tensorflow__eq__(
      dtype_and_x,
      frontend,
      frontend_method_data,
      init_flags,
      method_flags,
      on_device,
      backend_fw,
  ):
      input_dtype, x = dtype_and_x
      helpers.test_frontend_method(
          init_input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          init_all_as_kwargs_np={
              "value": x[0],
          },
          method_input_dtypes=input_dtype,
          method_all_as_kwargs_np={
              "other": x[1],
          },
          frontend=frontend,
          frontend_method_data=frontend_method_data,
          init_flags=init_flags,
          method_flags=method_flags,
          on_device=on_device,
      )
  
imports: from hypothesis import strategies, given, assume
  import numpy
  import tensorflow
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_method, BackendHandler
  from ivy_tests.test_ivy.test_frontends.test_tensorflow.test_raw_ops import _pow_helper_shared_dtype
  from ivy.functional.frontends.tensorflow import EagerTensor
label_desc: Use image node_id 8 for calling a global function with example usage: test_tensorflow__eq__(dtype_and_x, frontend, frontend_method_data, init_flags, method_flags, on_device, backend_fw) without return types