code: def triu(A):
      i, j = dims()
      a = A[i, j]
      zero = torch.tensor(
          0, dtype=torch.float
      )  # XXX - torch.where is janky...
      return torch.where(i <= j, a, zero).order(i, j)
  
imports: from functorch.dim import Tensor, Dim, dims, dimlists, stack, DimensionBindError, DimList
  from attn_ft import BertSelfAttention, Linear
  from attn_positional import BertSelfAttention
  from torch.testing._internal.common_utils import TestCase, run_tests, TEST_CUDA
  from unittest import skip, skipIf
  import torch
  import gc
  from functorch._C import dim
  from contextlib import contextmanager
  from time import perf_counter
label_desc: Use image node_id 2 for calling a global function with example usage: triu(A) and returns: torch