code: def mean_squared_logarithmic_error(y_true, y_pred):
      y_true = ivy.astype(y_true, y_pred.dtype)
      first_log = ivy.log(ivy.maximum(y_pred, 1e-7) + 1.0)
      second_log = ivy.log(ivy.maximum(y_true, 1e-7) + 1.0)
      return ivy.mean(
          ivy.square(ivy.subtract(first_log, second_log)), axis=-1
      )
  
imports: import ivy
  from ivy.functional.frontends.tensorflow.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 17 for calling a global function with example usage: mean_squared_logarithmic_error(y_true, y_pred) and returns: ivy