Custom Components¶
This is a guide on how to build a simple app and custom component spec and launch it via two different schedulers.
See the Quickstart Guide for installation and basic usage.
Hello World¶
Lets start off with writing a simple “Hello World” python app. This is just a normal python program and can contain anything you’d like.
Note
This example uses Jupyter Notebook %%writefile to create local files for example purposes. Under normal usage you would have these as standalone files.
[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
Now that we have an app we can write the component file for it. This function allows us to reuse and share our app in a user friendly way.
We can use this component from the torchx cli or programmatically as part of a pipeline.
[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
We can execute our component via torchx run. The local_cwd scheduler executes the component relative to the current directory.
[3]:
%%sh
torchx run --scheduler local_cwd my_component.py:greet --user "your name"
torchx 2022-03-28 20:59:34 INFO Log files located in: /tmp/torchx_2fzpob4l/torchx/hello_world-cm3h2pltvqqs6/greeter/0
torchx 2022-03-28 20:59:35 INFO Waiting for the app to finish...
greeter/0 Hello, your name!
torchx 2022-03-28 20:59:36 INFO Job finished: SUCCEEDED
local_cwd://torchx/hello_world-cm3h2pltvqqs6
If we want to run in other environments, we can build a Docker container so we can run our component in Docker enabled environments such as Kubernetes or via the local Docker scheduler.
Note
This requires Docker installed and won’t work in environments such as Google Colab. If you have not done so already follow the install instructions on: 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
Once we have the Dockerfile created we can create our docker image.
[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
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909695be1d50: Pulling fs layer
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88d87059c913: Pulling fs layer
6009a622672a: Waiting
143f80195431: Waiting
eccbe17c44e1: Waiting
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c0ad16d9fa05: Waiting
30587ba7fd6b: Waiting
909695be1d50: Waiting
f119a6d0a466: Waiting
88d87059c913: Waiting
889a7173dcfe: Verifying Checksum
889a7173dcfe: Download complete
d2e110be24e1: Verifying Checksum
d2e110be24e1: Download complete
6009a622672a: Verifying Checksum
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4bbfd2c87b75: Verifying Checksum
4bbfd2c87b75: Download complete
eccbe17c44e1: Verifying Checksum
eccbe17c44e1: Download complete
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d4c7af0d4fa7: Verifying Checksum
d4c7af0d4fa7: Download complete
c0ad16d9fa05: Verifying Checksum
c0ad16d9fa05: Download complete
30587ba7fd6b: Verifying Checksum
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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 .
---> 2952f78386e8
Successfully built 2952f78386e8
Successfully tagged my_app:latest
We can then launch it on the local scheduler.
[6]:
%%sh
torchx run --scheduler local_docker my_component.py:greet --image "my_app:latest" --user "your name"
torchx 2022-03-28 21:02:01 INFO Building workspace: file:///home/runner/work/torchx/torchx/docs/source for role[0]: greeter, image: my_app:latest
torchx 2022-03-28 21:02:01 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 2022-03-28 21:02:10 INFO Done building workspace
torchx 2022-03-28 21:02:10 INFO New image: sha256:8f7d150cfc180a436a1bdd2384c43a187a8fce54f84a3737e0ef4d50aa656e9f built from workspace
torchx 2022-03-28 21:02:11 INFO Waiting for the app to finish...
greeter/0 Hello, your name!
torchx 2022-03-28 21:02:12 INFO Job finished: SUCCEEDED
local_docker://torchx/hello_world-xwn77m6436nzk
If you have a Kubernetes cluster you can use the Kubernetes scheduler to launch this on the cluster instead.
$ docker push my_app:latest
$ torchx run --scheduler kubernetes my_component.py:greet --image "my_app:latest" --user "your name"
Builtins¶
TorchX also provides a number of builtin components with premade images. You can discover them via:
[7]:
%%sh
torchx builtins
Found 10 builtin components:
1. serve.torchserve
2. dist.ddp
3. metrics.tensorboard
4. utils.binary
5. utils.booth
6. utils.copy
7. utils.echo
8. utils.python
9. utils.sh
10. utils.touch
You can use these either from the CLI, from a pipeline or programmatically like you would any other component.
[8]:
%%sh
torchx run utils.echo --msg "Hello :)"
torchx 2022-03-28 21:02:17 INFO Building workspace: file:///home/runner/work/torchx/torchx/docs/source for role[0]: echo, image: ghcr.io/pytorch/torchx:0.1.2dev0
torchx 2022-03-28 21:04:20 INFO Done building workspace
torchx 2022-03-28 21:04:20 INFO New image: sha256:aa5789d2fb6a8ae256d8a39ae814e9b1bb734f95292abf0bd00e3eabf8913d58 built from workspace
torchx 2022-03-28 21:04:21 INFO Waiting for the app to finish...
echo/0 Hello :)
torchx 2022-03-28 21:04:22 INFO Job finished: SUCCEEDED
local_docker://torchx/echo-fk9vkr7vjw7pn