快速入门¶
这是一个独立的指南,介绍如何构建一个简单的应用程序和组件规范,并通过两个不同的调度器启动它。
安装¶
我们需要做的第一件事是安装 TorchX python 包,其中包括 CLI 和库。
# install torchx with all dependencies
$ pip install torchx[dev]
有关安装的更多信息,请参阅 README。
[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}
世界您好¶
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,可以包含您想要的任何内容。
注意
此示例使用 Jupyter Notebook 创建本地文件以用于示例目的。在正常使用情况下,您可以将这些文件作为独立文件。%%writefile
[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
现在我们有一个应用程序,我们可以为它编写组件文件。此功能允许我们以用户友好的方式重用和共享我们的应用程序。
我们可以从 cli 或以编程方式将此组件用作管道的一部分。torchx
[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 .调度程序相对于当前目录执行组件。torchx run
local_cwd
[4]:
%%sh
torchx run --scheduler local_cwd my_component.py:greet --user "your name"
local_cwd://torchx/hello_world-grtncq7kmt153
torchx 2021-11-17 23:08:08 INFO Log files located in: /tmp/torchx_0us6yce8/torchx/hello_world-grtncq7kmt153/greeter/0
torchx 2021-11-17 23:08:08 INFO Waiting for the app to finish...
greeter/0 Hello, your name!
torchx 2021-11-17 23:08:09 INFO Job finished: SUCCEEDED
如果我们想在其他环境中运行,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(如 Kubernetes)中或通过本地 Docker 调度器运行我们的组件。
注意
这需要安装 Docker,并且在 Google Colab 等环境中不起作用。如果您尚未按照以下安装说明进行作:https://docs.docker.com/get-docker/
[5]:
%%writefile Dockerfile
FROM ghcr.io/pytorch/torchx:0.1.0rc1
ADD my_app.py .
Writing Dockerfile
创建 Dockerfile 后,我们就可以创建 Docker 映像了。
[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
143f80195431: Waiting
eccbe17c44e1: Waiting
6009a622672a: 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
eccbe17c44e1: Verifying Checksum
eccbe17c44e1: Download complete
6009a622672a: Verifying Checksum
6009a622672a: Download complete
06b5edd6bf52: Verifying Checksum
06b5edd6bf52: Download complete
d4c7af0d4fa7: Verifying Checksum
d4c7af0d4fa7: Download complete
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
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 .
---> d7c1cff5cdba
Successfully built d7c1cff5cdba
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"
local_docker://torchx/hello_world-wm62bnf1nmwkt
torchx 2021-11-17 23:10:39 INFO Pulling container image: my_app:latest (this may take a while)
torchx 2021-11-17 23:10:39 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 2021-11-17 23:10:40 INFO Waiting for the app to finish...
greeter/0 Hello, your name!
torchx 2021-11-17 23:10:41 INFO Job finished: SUCCEEDED
如果您有 Kubernetes 集群,则可以使用 Kubernetes 调度程序在集群上启动它。
$ docker push my_app:latest
$ torchx run --scheduler kubernetes my_component.py:greet --image "my_app:latest" --user "your name"
内置¶
TorchX 还提供了许多带有预制图像的内置组件。您可以通过以下方式发现它们:
[8]:
%%sh
torchx builtins
Found 9 builtin components:
1. serve.torchserve
2. metrics.tensorboard
3. utils.booth
4. utils.copy
5. utils.echo
6. utils.python
7. utils.sh
8. utils.touch
9. dist.ddp
您可以从 CLI、管道或像任何其他组件一样以编程方式使用这些组件。
[9]:
%%sh
torchx run utils.echo --msg "Hello :)"
local_docker://torchx/echo-zl60j6vxqlfbdd
torchx 2021-11-17 23:10:43 INFO Pulling container image: ghcr.io/pytorch/torchx:0.1.1dev0 (this may take a while)
torchx 2021-11-17 23:12:45 INFO Waiting for the app to finish...
echo/0 Hello :)
torchx 2021-11-17 23:12:46 INFO Job finished: SUCCEEDED