1# Copyright 2024 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15import os 16import pytest 17import mindspore.context as context 18from mindspore import Tensor, nn 19from mindspore.common import dtype as mstype 20from mindspore import Parameter 21 22 23class GraphNet(nn.Cell): 24 def __init__(self): 25 super().__init__() 26 self.param_a = Parameter(Tensor(10, mstype.float32), name="a") 27 self.zero = Parameter(Tensor(0, mstype.float32), name="zero") 28 29 def construct(self, x): 30 out = self.zero 31 out1 = self.param_a 32 if x > 0: 33 out = out + self.param_a 34 if x > 2: 35 out1 += self.param_a 36 out += self.param_a 37 out1 += self.param_a 38 return out, out1 39 40def aoe_online(): 41 context.set_context(mode=context.GRAPH_MODE, aoe_tune_mode="online", aoe_config={"job_type": "2"}) 42 context.set_context(jit_config={"jit_level": "O2"}) 43 net = GraphNet() 44 x = Tensor(3, mstype.int32) 45 out0, out1 = net(x) 46 assert out0 == Tensor(20, mstype.float32) 47 assert out1 == Tensor(30, mstype.float32) 48 49@pytest.mark.level0 50@pytest.mark.platform_x86_ascend_training 51@pytest.mark.platform_arm_ascend_training 52@pytest.mark.platform_arm_ascend910b_training 53@pytest.mark.env_onecard 54def test_aoe(): 55 """ 56 Feature: aoe 57 Description: aoe with ge backend. 58 Expectation: success. 59 """ 60 aoe_online() 61 ret = os.system(f"ls aoe_result_opat_*.json") 62 assert ret == 0 63