forked from mindspore-Ecosystem/mindspore
84 lines
2.8 KiB
Python
84 lines
2.8 KiB
Python
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# Copyright 2020 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 json
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import time
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import shutil
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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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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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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.TensorAdd()
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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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def change_current_dump_json(file_name, dump_path):
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with open(file_name, 'r+') as f:
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data = json.load(f)
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data["common_dump_settings"]["path"] = dump_path
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with open(file_name, 'w') as f:
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json.dump(data, f)
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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_async_dump():
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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pwd = os.getcwd()
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dump_path = pwd + "/dump"
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change_current_dump_json('async_dump.json', dump_path)
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os.environ['MINDSPORE_DUMP_CONFIG'] = pwd + "/async_dump.json"
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device_id = context.get_context("device_id")
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dump_file_path = pwd + '/dump/device_{}/Net_graph_0/0/0/'.format(device_id)
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if os.path.isdir(dump_path):
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shutil.rmtree(dump_path)
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add = Net()
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add(Tensor(x), Tensor(y))
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time.sleep(5)
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assert len(os.listdir(dump_file_path)) == 1
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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_e2e_dump():
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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pwd = os.getcwd()
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dump_path = pwd + "/dump"
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change_current_dump_json('e2e_dump.json', dump_path)
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os.environ['MINDSPORE_DUMP_CONFIG'] = pwd + "/e2e_dump.json"
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device_id = context.get_context("device_id")
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dump_file_path = pwd + '/dump/Net/device_{}/iteration_1/'.format(device_id)
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if os.path.isdir(dump_path):
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shutil.rmtree(dump_path)
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add = Net()
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add(Tensor(x), Tensor(y))
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time.sleep(5)
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assert len(os.listdir(dump_file_path)) == 5
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