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2024-10-30 22:14:35 +01:00

17 lines
415 B
Python

# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import numpy as np
from onnx.reference.op_run import OpRun
class Trilu(OpRun):
def _run(self, x, k=None, upper=None): # type: ignore
k = 0 if k is None else int(k)
if upper: # type: ignore
return (np.triu(x, k),)
return (np.tril(x, k).astype(x.dtype),)