code: def sum(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      axis: Optional[Union[int, Sequence[int]]] = None,
      dtype: Optional[tf.DType] = None,
      keepdims: Optional[bool] = False,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      dtype = ivy.as_native_dtype(dtype)
      if dtype is None and not ivy.is_bool_dtype(x):
          dtype = x.dtype
      axis = tuple(axis) if isinstance(axis, list) else axis
      return tf.experimental.numpy.sum(x, axis, dtype, keepdims)
  
file_path: ivy/ivy/functional/backends/tensorflow/statistical.py
imports: import tensorflow
  from typing import Union, Optional, Sequence
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
  from ivy.utils.einsum_parser import legalise_einsum_expr
label_desc: Use image node_id 7 for calling a global function with example usage: sum() and returns: tf