目录

自定义组件

这是一个关于如何构建一个简单的应用程序和自定义组件规范并通过两种不同的调度器发布它的指南。

请参阅快速入门指南以获取安装和基本使用方法。

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。

[1]:
%%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。

[2]:
%%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。

[3]:
%%sh
torchx run --scheduler local_cwd my_component.py:greet --user "your name"
torchx 2022-12-29 22:54:04 INFO     Log directory not set in scheduler cfg. Creating a temporary log dir that will be deleted on exit. To preserve log directory set the `log_dir` cfg option
torchx 2022-12-29 22:54:04 INFO     Log directory is: /tmp/torchx_q892nv0v
torchx 2022-12-29 22:54:04 INFO     Waiting for the app to finish...
greeter/0 Hello, your name!
torchx 2022-12-29 22:54:05 INFO     Job finished: SUCCEEDED
local_cwd://torchx/hello_world-qdp7vqw401tzz

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/

[4]:
%%writefile Dockerfile.custom

FROM ghcr.io/pytorch/torchx:0.1.0rc1

ADD my_app.py .
Writing Dockerfile.custom

一旦我们创建了 Dockerfile,就可以创建我们的 docker 镜像。

[5]:
%%sh
docker build -t my_app:latest -f Dockerfile.custom .

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
c0ad16d9fa05: Waiting
30587ba7fd6b: Waiting
06b5edd6bf52: Waiting
909695be1d50: Waiting
f18d016c4ccc: Waiting
88d87059c913: Waiting
f119a6d0a466: Waiting
d2e110be24e1: Verifying Checksum
d2e110be24e1: Download complete
889a7173dcfe: Download complete
6009a622672a: Verifying Checksum
6009a622672a: Download complete
4bbfd2c87b75: Verifying Checksum
4bbfd2c87b75: Download complete
eccbe17c44e1: Verifying Checksum
eccbe17c44e1: Download complete
06b5edd6bf52: Verifying Checksum
06b5edd6bf52: Download complete
d4c7af0d4fa7: Verifying Checksum
d4c7af0d4fa7: Download complete
c0ad16d9fa05: Verifying Checksum
c0ad16d9fa05: Download complete
30587ba7fd6b: Download complete
4bbfd2c87b75: Pull complete
909695be1d50: Verifying Checksum
909695be1d50: Download complete
f119a6d0a466: Download complete
88d87059c913: Verifying Checksum
88d87059c913: Download complete
d2e110be24e1: Pull complete
f18d016c4ccc: Verifying Checksum
f18d016c4ccc: Download complete
143f80195431: Verifying Checksum
143f80195431: Download complete
889a7173dcfe: Pull complete
6009a622672a: Pull complete
143f80195431: Pull complete
eccbe17c44e1: Pull complete
d4c7af0d4fa7: Pull complete
06b5edd6bf52: Pull complete
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 .
 ---> a5d188ba11f0
Successfully built a5d188ba11f0
Successfully tagged my_app:latest

然后我们可以在本地调度器上启动它。

[6]:
%%sh
torchx run --scheduler local_docker my_component.py:greet --image "my_app:latest" --user "your name"
torchx 2022-12-29 22:55:46 INFO     Checking for changes in workspace `file:///home/runner/work/torchx/torchx/docs/source`...
torchx 2022-12-29 22:55:46 INFO     To disable workspaces pass: --workspace="" from CLI or workspace=None programmatically.
torchx 2022-12-29 22:55:46 INFO     Workspace `file:///home/runner/work/torchx/torchx/docs/source` resolved to filesystem path `/home/runner/work/torchx/torchx/docs/source`
torchx 2022-12-29 22:55:47 WARNING  failed to pull image my_app:latest, falling back to local: 404 Client Error for http+docker://localhost/v1.41/images/create?tag=latest&fromImage=my_app: Not Found ("pull access denied for my_app, repository does not exist or may require 'docker login': denied: requested access to the resource is denied")
torchx 2022-12-29 22:55:47 INFO     Building workspace docker image (this may take a while)...
torchx 2022-12-29 22:55:54 INFO     Built new image `sha256:b1e548c29bcbbb87489d3f9680584a40ee5c33d8b9cfdaba08b1514c018c302a` based on original image `my_app:latest` and changes in workspace `file:///home/runner/work/torchx/torchx/docs/source` for role[0]=greeter.
torchx 2022-12-29 22:55:55 INFO     Waiting for the app to finish...
greeter/0 Hello, your name!
torchx 2022-12-29 22:55:56 INFO     Job finished: SUCCEEDED
local_docker://torchx/hello_world-v7s1n2zfx2zgrd

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:

[7]:
%%sh
torchx builtins
Found 10 builtin components:
  1. serve.torchserve
  2. utils.binary
  3. utils.booth
  4. utils.copy
  5. utils.echo
  6. utils.python
  7. utils.sh
  8. utils.touch
  9. metrics.tensorboard
 10. dist.ddp

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。

[8]:
%%sh
torchx run utils.echo --msg "Hello :)"
torchx 2022-12-29 22:55:57 INFO     Checking for changes in workspace `file:///home/runner/work/torchx/torchx/docs/source`...
torchx 2022-12-29 22:55:57 INFO     To disable workspaces pass: --workspace="" from CLI or workspace=None programmatically.
torchx 2022-12-29 22:55:57 INFO     Workspace `file:///home/runner/work/torchx/torchx/docs/source` resolved to filesystem path `/home/runner/work/torchx/torchx/docs/source`
torchx 2022-12-29 22:58:32 INFO     Building workspace docker image (this may take a while)...
torchx 2022-12-29 22:58:43 INFO     Built new image `sha256:004f824e6da43103820ade07a1b843acb5d4684c53f856a2df684440f27d833d` based on original image `ghcr.io/pytorch/torchx:0.4.0dev0` and changes in workspace `file:///home/runner/work/torchx/torchx/docs/source` for role[0]=echo.
torchx 2022-12-29 22:58:44 INFO     Waiting for the app to finish...
echo/0 Hello :)
torchx 2022-12-29 22:58:45 INFO     Job finished: SUCCEEDED
local_docker://torchx/echo-wj1k9g5d579mpc

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