code: def zeros_like(
      x: Union[ivy.Array, ivy.NativeArray],
      /,
      *,
      dtype: Optional[Union[ivy.Dtype, ivy.NativeDtype]] = None,
      device: Optional[Union[ivy.Device, ivy.NativeDevice]] = None,
      out: Optional[ivy.Array] = None,
  ) -> ivy.Array:
      """Return a new array filled with zeros and having the same ``shape`` as an
      input array ``x``.
  
      Parameters
      ----------
      x
           input array from which to derive the output array shape.
      dtype
          output array data type. If ``dtype`` is ``None``, the output array data type
          must be inferred from ``x``. Default: ``None``.
      device
          device on which to place the created array. If ``device`` is ``None``, the
          output array device must be inferred from ``x``. Default: ``None``.
      out
          optional output array, for writing the result to. It must have a shape that the
          inputs broadcast to.
  
      Returns
      -------
      ret
          an array having the same shape as ``x`` and filled with ``zeros``.
  
  
      This function conforms to the `Array API Standard
      <https://data-apis.org/array-api/latest/>`_. This docstring is an extension of the
      `docstring <https://data-apis.org/array-api/latest/
      API_specification/generated/array_api.zeros_like.html>`_
      in the standard.
  
      Both the description and the type hints above assumes an array input for simplicity,
      but this function is *nestable*, and therefore also accepts :class:`ivy.Container`
      instances in place of any of the arguments.
  
      Examples
      --------
      With :class:`ivy.Array` input:
  
      >>> x = ivy.array([1, 2, 3, 4, 5, 6])
      >>> y = ivy.zeros_like(x)
      >>> print(y)
      ivy.array([0, 0, 0, 0, 0, 0])
  
      >>> x = ivy.array([[0, 1, 2],[3, 4, 5]], dtype = ivy.float32)
      >>> y = ivy.zeros_like(x)
      >>> print(y)
      ivy.array([[0., 0., 0.],
              [0., 0., 0.]])
  
      >>> x = ivy.array([3., 2., 1.])
      >>> y = ivy.ones(3)
      >>> ivy.zeros_like(x, out=y)
      >>> print(y)
      ivy.array([0., 0., 0.])
  
      With :class:`ivy.NativeArray` input:
  
      >>> x = ivy.native_array([[3, 8, 2],[2, 8, 3]])
      >>> y = ivy.zeros_like(x)
      >>> print(y)
      ivy.array([[0, 0, 0],[0, 0, 0]])
  
  
      >>> x = ivy.native_array([3, 8, 2, 0, 0, 2])
      >>> y = ivy.zeros_like(x, dtype=ivy.IntDtype('int32'), device=ivy.Device('cpu'))
      >>> print(y)
      ivy.array([0, 0, 0, 0, 0, 0])
  
      With :class:`ivy.Container` input:
  
      >>> x = ivy.Container(a=ivy.array([3, 2, 1]), b=ivy.array([8, 2, 3]))
      >>> y = ivy.zeros_like(x)
      >>> print(y)
      {
          a: ivy.array([0, 0, 0]),
          b: ivy.array([0, 0, 0])
      }
  
  
      With :class:`ivy.Array` input:
  
      >>> x = ivy.array([2, 3, 8, 2, 1])
      >>> y = x.zeros_like()
      >>> print(y)
      ivy.array([0, 0, 0, 0, 0])
  
      With :class:'ivy.Container' input:
  
      >>> x = ivy.Container(a=ivy.array([3., 8.]), b=ivy.array([2., 2.]))
      >>> y = x.zeros_like()
      >>> print(y)
      {
          a: ivy.array([0., 0.]),
          b: ivy.array([0., 0.])
      }
      """
      return current_backend(x).zeros_like(
          x, dtype=dtype, device=device, out=out
      )
  
imports: from __future__ import annotations
  import functools
  from numbers import Number
  from typing import Union, Tuple, Optional, List, Sequence, Callable, Protocol, TypeVar, Iterable
  import numpy
  import ivy
  from ivy import to_ivy
  from ivy.utils.exceptions import handle_exceptions
  from ivy.utils.backend import current_backend
  from ivy.func_wrapper import handle_array_function, infer_dtype, handle_out_argument, outputs_to_ivy_arrays, inputs_to_native_arrays, inputs_to_native_shapes, to_native_arrays_and_back, handle_nestable, handle_array_like_without_promotion, handle_device, handle_backend_invalid, temp_asarray_wrapper
label_desc: Use image node_id 16 for calling a global function with example usage: zeros_like() and returns: current_backend