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# Copyright 2021 Huawei Technologies Co., Ltd |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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# ============================================================================ |
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import os |
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import shutil |
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import glob |
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import numpy as np |
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import pytest |
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import mindspore.context as context |
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import mindspore.nn as nn |
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from mindspore import Tensor |
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from mindspore.ops import operations as P |
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from mindspore.profiler import Profiler |
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class Net(nn.Cell): |
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def __init__(self): |
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super(Net, self).__init__() |
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self.add = P.Add() |
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def construct(self, x_, y_): |
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return self.add(x_, y_) |
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x = np.random.randn(1, 3, 3, 4).astype(np.float32) |
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y = np.random.randn(1, 3, 3, 4).astype(np.float32) |
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@pytest.mark.level0 |
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@pytest.mark.platform_arm_ascend_training |
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@pytest.mark.platform_x86_ascend_training |
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@pytest.mark.env_onecard |
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def test_ascend_profiling(): |
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if os.path.isdir("./data_ascend_profiler"): |
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shutil.rmtree("./data_ascend_profiler") |
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend") |
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profiler = Profiler(output_path="./data_ascend_profiler", is_detail=True, is_show_op_path=False, subgraph="all") |
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add = Net() |
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add(Tensor(x), Tensor(y)) |
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profiler.analyse() |
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assert len(glob.glob("./data_ascend_profiler/profiler*/JOB*/data/Framework*")) == 6 |