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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- import os
- import json
- import time
- import shutil
- import numpy as np
- import pytest
- import mindspore.context as context
- import mindspore.nn as nn
- from mindspore import Tensor
- from mindspore.ops import operations as P
-
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
-
- class Net(nn.Cell):
- def __init__(self):
- super(Net, self).__init__()
- self.add = P.TensorAdd()
-
- def construct(self, x_, y_):
- return self.add(x_, y_)
-
- x = np.random.randn(1, 3, 3, 4).astype(np.float32)
- y = np.random.randn(1, 3, 3, 4).astype(np.float32)
-
- def change_current_dump_json(file_name, dump_path):
- with open(file_name, 'r+') as f:
- data = json.load(f)
-
- data["common_dump_settings"]["path"] = dump_path
- with open(file_name, 'w') as f:
- json.dump(data, f)
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_onecard
- def test_async_dump():
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- pwd = os.getcwd()
- dump_path = pwd + "/async_dump"
- change_current_dump_json('async_dump.json', dump_path)
- os.environ['MINDSPORE_DUMP_CONFIG'] = pwd + "/async_dump.json"
- device_id = context.get_context("device_id")
- dump_file_path = pwd + '/async_dump/device_{}/Net_graph_0/0/0/'.format(device_id)
- if os.path.isdir(dump_path):
- shutil.rmtree(dump_path)
- add = Net()
- add(Tensor(x), Tensor(y))
- time.sleep(5)
- assert len(os.listdir(dump_file_path)) == 1
-
- @pytest.mark.level0
- @pytest.mark.platform_arm_ascend_training
- @pytest.mark.platform_x86_ascend_training
- @pytest.mark.env_onecard
- def test_e2e_dump():
- context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
- pwd = os.getcwd()
- dump_path = pwd + "/e2e_dump"
- change_current_dump_json('e2e_dump.json', dump_path)
- os.environ['MINDSPORE_DUMP_CONFIG'] = pwd + "/e2e_dump.json"
- device_id = context.get_context("device_id")
- dump_file_path = pwd + '/e2e_dump/Net/device_{}/iteration_1/'.format(device_id)
- if os.path.isdir(dump_path):
- shutil.rmtree(dump_path)
- add = Net()
- add(Tensor(x), Tensor(y))
- time.sleep(5)
- assert len(os.listdir(dump_file_path)) == 5
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