快速上手¶
这是一个自包含的指南，介绍如何构建一个简单的应用程序和组件规格，并通过两种不同的调度器启动它。
安装¶
首先，我们需要安装包含命令行接口和库的TorchX Python包。
# install torchx with all dependencies
$ pip install torchx[dev]
参见README以获取有关安装的更多信息。
[1]:
%%sh
torchx --help
usage: torchx [-h] [--log_level LOG_LEVEL] [--version]
{describe,log,run,builtins,runopts,status,configure} ...
torchx CLI
optional arguments:
-h, --help show this help message and exit
--log_level LOG_LEVEL
Python logging log level
--version show program's version number and exit
sub-commands:
Use the following commands to run operations, e.g.: torchx run ${JOB_NAME}
{describe,log,run,builtins,runopts,status,configure}
世界你好¶
让我们从编写一个简单的“Hello World” Python应用程序开始。这只是一个普通的Python程序，可以包含你想要的任何内容。
注意
此示例使用 Jupyter Notebook %%writefile 创建本地文件，以作示范用途。在正常用法中，这些文件应为独立文件。
[2]:
%%writefile my_app.py
import sys
import argparse
def main(user: str) -> None:
print(f"Hello, {user}!")
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Hello world app"
)
parser.add_argument(
"--user",
type=str,
help="the person to greet",
required=True,
)
args = parser.parse_args(sys.argv[1:])
main(args.user)
Writing my_app.py
现在我们有了一个应用，可以编写它的组件文件了。这个功能使我们能够以用户友好的方式重用和共享我们的应用。
我们可以从 torchx 命令行界面 (cli) 或者作为管道的一部分进行程序化使用。
[3]:
%%writefile my_component.py
import torchx.specs as specs
def greet(user: str, image: str = "my_app:latest") -> specs.AppDef:
return specs.AppDef(
name="hello_world",
roles=[
specs.Role(
name="greeter",
image=image,
entrypoint="python",
args=[
"-m", "my_app",
"--user", user,
],
)
],
)
Writing my_component.py
我们可以通过torchx run执行我们的组件。The local_cwd调度程序根据当前目录执行组件。
[4]:
%%sh
torchx run --scheduler local_cwd my_component.py:greet --user "your name"
Hello, your name!
local_cwd://torchx/hello_world_f5505d67
torchx 2021-10-21 18:01:59 INFO Waiting for the app to finish...
torchx 2021-10-21 18:02:00 INFO Job finished: SUCCEEDED
如果我们希望在其他环境中运行，我们可以构建一个 Docker 容器，这样我们就可以在支持 Docker 的环境中运行我们的组件，例如 Kubernetes，或者通过本地的 Docker 调度程序运行。
注意
这需要安装Docker，并且在Google Colab等环境中无法使用。如果你尚未完成，请按照以下地址的安装说明进行操作：https://docs.docker.com/get-docker/
[5]:
%%writefile Dockerfile
FROM ghcr.io/pytorch/torchx:0.1.0rc1
ADD my_app.py .
Writing Dockerfile
一旦我们创建了 Dockerfile，就可以创建我们的 docker 镜像。
[6]:
%%sh
docker build -t my_app:latest -f Dockerfile .
Step 1/2 : FROM ghcr.io/pytorch/torchx:0.1.0rc1
0.1.0rc1: Pulling from pytorch/torchx
4bbfd2c87b75: Pulling fs layer
d2e110be24e1: Pulling fs layer
889a7173dcfe: Pulling fs layer
6009a622672a: Pulling fs layer
143f80195431: Pulling fs layer
eccbe17c44e1: Pulling fs layer
d4c7af0d4fa7: Pulling fs layer
06b5edd6bf52: Pulling fs layer
f18d016c4ccc: Pulling fs layer
c0ad16d9fa05: Pulling fs layer
30587ba7fd6b: Pulling fs layer
909695be1d50: Pulling fs layer
f119a6d0a466: Pulling fs layer
88d87059c913: Pulling fs layer
6009a622672a: Waiting
143f80195431: Waiting
eccbe17c44e1: Waiting
d4c7af0d4fa7: Waiting
06b5edd6bf52: Waiting
f18d016c4ccc: Waiting
c0ad16d9fa05: Waiting
30587ba7fd6b: Waiting
909695be1d50: Waiting
f119a6d0a466: Waiting
88d87059c913: Waiting
889a7173dcfe: Verifying Checksum
889a7173dcfe: Download complete
d2e110be24e1: Verifying Checksum
d2e110be24e1: Download complete
4bbfd2c87b75: Verifying Checksum
4bbfd2c87b75: Download complete
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eccbe17c44e1: Verifying Checksum
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d4c7af0d4fa7: Verifying Checksum
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c0ad16d9fa05: Verifying Checksum
c0ad16d9fa05: Download complete
30587ba7fd6b: Verifying Checksum
30587ba7fd6b: Download complete
909695be1d50: Verifying Checksum
909695be1d50: Download complete
f119a6d0a466: Verifying Checksum
f119a6d0a466: Download complete
88d87059c913: Verifying Checksum
88d87059c913: Download complete
4bbfd2c87b75: Pull complete
f18d016c4ccc: Verifying Checksum
f18d016c4ccc: Download complete
143f80195431: Verifying Checksum
143f80195431: Download complete
d2e110be24e1: Pull complete
889a7173dcfe: Pull complete
6009a622672a: Pull complete
143f80195431: Pull complete
eccbe17c44e1: Pull complete
d4c7af0d4fa7: Pull complete
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f18d016c4ccc: Pull complete
c0ad16d9fa05: Pull complete
30587ba7fd6b: Pull complete
909695be1d50: Pull complete
f119a6d0a466: Pull complete
88d87059c913: Pull complete
Digest: sha256:a738949601d82e7f100fa1efeb8dde0c35ce44c66726cf38596f96d78dcd7ad3
Status: Downloaded newer image for ghcr.io/pytorch/torchx:0.1.0rc1
---> 3dbec59e8049
Step 2/2 : ADD my_app.py .
---> f77f7d50f1b6
Successfully built f77f7d50f1b6
Successfully tagged my_app:latest
然后我们可以在本地调度器上启动它。
[7]:
%%sh
torchx run --scheduler local_docker my_component.py:greet --image "my_app:latest" --user "your name"
Hello, your name!
local_docker://torchx/hello_world_ba61a83b
Error response from daemon: pull access denied for my_app, repository does not exist or may require 'docker login': denied: requested access to the resource is denied
torchx 2021-10-21 18:04:15 WARNING failed to fetch image my_app:latest, falling back to local: Command '['docker', 'pull', 'my_app:latest']' returned non-zero exit status 1.
torchx 2021-10-21 18:04:15 INFO Waiting for the app to finish...
torchx 2021-10-21 18:04:16 INFO Job finished: SUCCEEDED
如果您有一个Kubernetes集群，您可以使用Kubernetes调度器在集群上启动此任务。
$ docker push my_app:latest
$ torchx run --scheduler kubernetes my_component.py:greet --image "my_app:latest" --user "your name"
内置函数¶
TorchX 还提供了许多内置组件，附带预制的图片。你可以通过以下方式发现它们：
[8]:
%%sh
torchx builtins
Found 7 builtin components:
1. dist.ddp
2. utils.booth
3. utils.copy
4. utils.echo
5. utils.sh
6. utils.touch
7. serve.torchserve
你可以像使用其他组件一样，通过命令行接口、管道或编程方式来使用这些功能。
[9]:
%%sh
torchx run utils.echo --msg "Hello :)"
Hello :)
local_docker://torchx/echo_d795104b
0.1.0: Pulling from pytorch/torchx
4bbfd2c87b75: Already exists
d2e110be24e1: Already exists
889a7173dcfe: Already exists
6009a622672a: Already exists
143f80195431: Already exists
eccbe17c44e1: Already exists
092b2fdc0e35: Pulling fs layer
8ce7d695178d: Pulling fs layer
08c3ec180556: Pulling fs layer
12128a687923: Pulling fs layer
802a2fbcbff3: Pulling fs layer
5888090352af: Pulling fs layer
12128a687923: Waiting
802a2fbcbff3: Waiting
5888090352af: Waiting
8ce7d695178d: Verifying Checksum
8ce7d695178d: Download complete
08c3ec180556: Verifying Checksum
08c3ec180556: Download complete
802a2fbcbff3: Verifying Checksum
802a2fbcbff3: Download complete
092b2fdc0e35: Verifying Checksum
092b2fdc0e35: Download complete
5888090352af: Verifying Checksum
5888090352af: Download complete
092b2fdc0e35: Pull complete
8ce7d695178d: Pull complete
08c3ec180556: Pull complete
12128a687923: Verifying Checksum
12128a687923: Download complete
12128a687923: Pull complete
802a2fbcbff3: Pull complete
5888090352af: Pull complete
Digest: sha256:de22d3014f9a02f5e9c2e71e9a55cf5426d18ce72f91d1d5405b1a75838555d2
Status: Downloaded newer image for ghcr.io/pytorch/torchx:0.1.0
ghcr.io/pytorch/torchx:0.1.0
torchx 2021-10-21 18:05:09 INFO Waiting for the app to finish...
torchx 2021-10-21 18:05:10 INFO Job finished: SUCCEEDED
下一步¶
查看其他功能，例如 torchx CLI
学习如何通过参考 规范 编写更复杂的应用程序规格
浏览内置组件集合 builtin components
查看 调度器列表 以了解 runner 支持的调度器
查看可以在哪些 机器学习流水线平台 上运行组件
See a 训练应用示例