分布式调度框架。
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# 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.
# Define the workflow
workflow:
name: "Pytorch"
# Define the tasks under the workflow
tasks:
# run project with existing environment
- name: task_existing_env
task_type: pytorch
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
- name: task_conda_env
task_type: pytorch
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
- name: task_virtualenv_env
task_type: pytorch
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