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125 lines
4.0 KiB
125 lines
4.0 KiB
2 years ago
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. 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,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Test Task Pytorch."""
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from copy import deepcopy
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from unittest.mock import patch
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import pytest
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from pydolphinscheduler.tasks.pytorch import DEFAULT, Pytorch
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from tests.testing.task import Task
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CODE = 123
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VERSION = 1
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EXPECT = {
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"code": CODE,
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"version": VERSION,
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"description": None,
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"delayTime": 0,
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"taskType": "PYTORCH",
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"taskParams": {
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"resourceList": [],
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"localParams": [],
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"dependence": {},
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"conditionResult": {"successNode": [""], "failedNode": [""]},
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"waitStartTimeout": {},
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},
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"flag": "YES",
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"taskPriority": "MEDIUM",
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"workerGroup": "default",
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"environmentCode": None,
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"failRetryTimes": 0,
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"failRetryInterval": 1,
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"timeoutFlag": "CLOSE",
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"timeoutNotifyStrategy": None,
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"timeout": 0,
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}
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def test_pytorch_get_define():
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"""Test task pytorch function get_define."""
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name = "task_conda_env"
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script = "main.py"
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script_params = "--dry-run --no-cuda"
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project_path = "https://github.com/pytorch/examples#mnist"
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is_create_environment = True
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python_env_tool = "conda"
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requirements = "requirements.txt"
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conda_python_version = "3.7"
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expect = deepcopy(EXPECT)
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expect["name"] = name
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task_params = expect["taskParams"]
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task_params["script"] = script
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task_params["scriptParams"] = script_params
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task_params["pythonPath"] = project_path
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task_params["otherParams"] = True
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task_params["isCreateEnvironment"] = is_create_environment
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task_params["pythonCommand"] = "${PYTHON_HOME}"
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task_params["pythonEnvTool"] = python_env_tool
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task_params["requirements"] = requirements
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task_params["condaPythonVersion"] = conda_python_version
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with patch(
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"pydolphinscheduler.core.task.Task.gen_code_and_version",
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return_value=(CODE, VERSION),
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):
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task = Pytorch(
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name=name,
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script=script,
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script_params=script_params,
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project_path=project_path,
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is_create_environment=is_create_environment,
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python_env_tool=python_env_tool,
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requirements=requirements,
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)
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assert task.get_define() == expect
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@pytest.mark.parametrize(
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"is_create_environment, project_path, python_command, expect",
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[
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(
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DEFAULT.is_create_environment,
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DEFAULT.project_path,
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DEFAULT.python_command,
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False,
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),
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(True, DEFAULT.project_path, DEFAULT.python_command, True),
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(DEFAULT.is_create_environment, "/home", DEFAULT.python_command, True),
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(DEFAULT.is_create_environment, DEFAULT.project_path, "/usr/bin/python", True),
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],
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)
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def test_other_params(is_create_environment, project_path, python_command, expect):
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"""Test task pytorch function other_params."""
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with patch(
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"pydolphinscheduler.core.task.Task.gen_code_and_version",
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side_effect=Task("test_func_wrap", "func_wrap").gen_code_and_version,
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):
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task = Pytorch(
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name="test",
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script="",
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script_params="",
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project_path=project_path,
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is_create_environment=is_create_environment,
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python_command=python_command,
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)
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assert task.other_params == expect
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