code: def zeros(
      shape: Union[ivy.NativeShape, Sequence[int]],
      *,
      dtype: torch.dtype,
      device: torch.device = None,
      out: Optional[torch.Tensor] = None,
  ) -> Tensor:
      return torch.zeros(shape, dtype=dtype, device=device, out=out)
  
imports: import copy
  from numbers import Number
  from typing import Union, List, Optional, Sequence, Tuple
  import numpy
  import torch
  from torch import Tensor
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_unsupported_device_and_dtypes
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_infer_dtype, _asarray_handle_nestable, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes, _remove_np_bfloat16
  from .None import backend_version
label_desc: Use image node_id 22 for calling a global function with example usage: zeros(shape) and returns: torch