code: def triu(
      x: paddle.Tensor,
      /,
      *,
      k: int = 0,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      return paddle.triu(x=x, diagonal=k)
  
imports: import struct
  from numbers import Number
  from typing import Union, List, Optional, Sequence, Tuple
  import numpy
  import paddle
  import ivy.functional.backends.paddle
  import ivy
  from ivy.func_wrapper import with_unsupported_device_and_dtypes
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_handle_nestable, _asarray_infer_dtype, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes, _remove_np_bfloat16
  from .None import backend_version
  from paddle.device import core
label_desc: Use image node_id 18 for calling a global function with example usage: triu() and returns: paddle