| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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. |
| |
| # [start workflow_declare] |
| """A example workflow for task pytorch.""" |
| |
| from pydolphinscheduler.core.workflow import Workflow |
| from pydolphinscheduler.tasks.pytorch import Pytorch |
| |
| with Workflow( |
| name="task_pytorch_example", |
| ) as workflow: |
| # run project with existing environment |
| task_existing_env = Pytorch( |
| name="task_existing_env", |
| script="main.py", |
| script_params="--dry-run --no-cuda", |
| project_path="https://github.com/pytorch/examples#mnist", |
| python_command="/home/anaconda3/envs/pytorch/bin/python3", |
| ) |
| |
| # run project with creating conda environment |
| task_conda_env = Pytorch( |
| name="task_conda_env", |
| script="main.py", |
| script_params="--dry-run --no-cuda", |
| project_path="https://github.com/pytorch/examples#mnist", |
| is_create_environment=True, |
| python_env_tool="conda", |
| requirements="requirements.txt", |
| conda_python_version="3.7", |
| ) |
| |
| # run project with creating virtualenv environment |
| task_virtualenv_env = Pytorch( |
| name="task_virtualenv_env", |
| script="main.py", |
| script_params="--dry-run --no-cuda", |
| project_path="https://github.com/pytorch/examples#mnist", |
| is_create_environment=True, |
| python_env_tool="virtualenv", |
| requirements="requirements.txt", |
| ) |
| |
| # [start resource_limit] |
| pytorch_resources_limit = Pytorch( |
| name="pytorch_resources_limit", |
| script="main.py", |
| script_params="--dry-run --no-cuda", |
| project_path="https://github.com/pytorch/examples#mnist", |
| python_command="/home/anaconda3/envs/pytorch/bin/python3", |
| cpu_quota=1, |
| memory_max=100, |
| ) |
| # [end resource_limit] |
| |
| workflow.submit() |
| # [end workflow_declare] |