code: def ones_like_v_0p1p12_to_0p2p0(
      x: torch.Tensor,
      /,
      *,
      dtype: torch.dtype,
      device: torch.device = None,
      out: Optional[torch.Tensor] = None,
  ):
      if len(x.shape) == 1:
          for i in range(x.shape[0]):
              x[i] = 1
          return x
      for i in range(x.shape[0]):
          x[i, :] = ones_like_v_0p1p12_to_0p2p0(x[i, :], dtype=dtype)
      return x
  
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 19 for calling a global function with example usage: ones_like_v_0p1p12_to_0p2p0() and returns: x, x