add triu_indices

mindtorch/_apis/cpu.py

@@ -1236,4 +1236,7 @@ def search_sorted(sorted_sequence, values, sorter, dtype, right):
     return legacy.search_sorted(sorted_sequence, values, sorter, dtype, right)
 
 def scatter_nd_update(input, indices, updates):
-    return legacy.scatter_nd_update(input, indices, updates, True)
+    return legacy.scatter_nd_update(input, indices, updates, True)
+
+def triu_indices(row, col, offset, dtype):
+    return legacy.triu_indices(row, col, offset, dtype)

mindtorch/_apis/gpu.py

@@ -1245,3 +1245,5 @@ def fft(input, n=None, dim=-1, norm="backward"):
         input = narrow(input, dim, 0, n)
     return legacy.fft_with_size(input, input.ndim, False, False, norm, True, ())
 
+def triu_indices(row, col, offset, dtype):
+    return legacy.triu_indices(row, col, offset, dtype)

mindtorch/_apis/npu.py

@@ -1631,3 +1631,6 @@ def repeat_interleave_int(input, repeats, dim, output_size):
 
 def repeat_interleave_tensor(input, repeats, dim, output_size):
     return pyboost.repeat_interleave_tensor_op(input, repeats, dim, output_size)
+
+def triu_indices(row, col, offset, dtype):
+    return legacy.triu_indices(row, col, offset, dtype)

mindtorch/ops/other.py

@@ -939,6 +939,8 @@ def triu(input, diagonal=0):
     return execute('triu', input, diagonal)
 
 # triu_indices
+def triu_indices(row, col, offset=0, *, dtype=mindtorch.long, device='cpu', layout=mindtorch.strided):
+    return execute('triu_indices', row, col, offset, dtype, device=device)
 
 
 # unflatten
@@ -1145,6 +1147,7 @@ def cosine_similarity(x1, x2, dim=1, eps=1e-8):
     "stop_gradient",
     "tril",
     "triu",
+    "triu_indices",
     "unflatten",
     "unfold",
     "contiguous",