code: def test_tensorflow_dot(
      *, data, on_device, fn_tree, frontend, test_flags, backend_fw
  ):
      (input_dtypes, x) = data
      return helpers.test_frontend_function(
          input_dtypes=input_dtypes,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          on_device=on_device,
          frontend=frontend,
          fn_tree=fn_tree,
          rtol=0.5,
          atol=0.5,
          x=x[0],
          y=x[1],
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_keras/test_backend.py
imports: from hypothesis import assume, strategies
  from ivy.func_wrapper import output_to_native_arrays
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_experimental.test_core.test_linalg import _generate_dot_dtype_and_arrays
  from ivy_tests.test_ivy.test_frontends.test_tensorflow.test_nn import _generate_bias_data
  from ivy_tests.test_ivy.test_functional.test_experimental.test_nn.test_layers import _lstm_helper
  import ivy
  from ivy.functional.frontends.tensorflow.func_wrapper import inputs_to_ivy_arrays, outputs_to_frontend_arrays
  import ivy.functional.frontends.tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: test_tensorflow_dot() and returns: helpers