code: def count_nonzero(
      a: paddle.Tensor,
      /,
      *,
      axis: Optional[Union[int, list, tuple]] = None,
      keepdims: Optional[bool] = False,
      dtype: Optional[paddle.dtype] = None,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      with ivy.ArrayMode(False):
          return ivy.sum(
              ivy.not_equal(a, 0),
              axis=axis,
              keepdims=keepdims,
              dtype=dtype,
          )
  
imports: import operator
  from typing import Optional, Union, Tuple, List, Sequence
  from numbers import Number
  import paddle
  from ivy.utils.exceptions import IvyNotImplementedException
  from ivy.func_wrapper import with_supported_dtypes, with_unsupported_device_and_dtypes, with_unsupported_dtypes
  import ivy.functional.backends.paddle
  import ivy
  from ivy import promote_types_of_inputs
  from ivy.functional.backends.paddle.elementwise import _elementwise_helper
  from ..None import backend_version
label_desc: Use image node_id 24 for calling a global function with example usage: count_nonzero() and returns: ivy