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.

%%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.

%%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.

%%sh
torchx run --scheduler local_cwd my_component.py:greet --user "your name"

torchx 2024-04-19 18:52:54 INFO     Tracker configurations: {}

torchx 2024-04-19 18:52:54 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 2024-04-19 18:52:54 INFO     Log directory is: /tmp/torchx_xaa5nkr2

torchx 2024-04-19 18:52:54 INFO     Waiting for the app to finish...

greeter/0 Hello, your name!

torchx 2024-04-19 18:52:55 INFO     Job finished: SUCCEEDED

local_cwd://torchx/hello_world-nl6n2qn3w59xsc

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/

%%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.

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

#0 building with "default" instance using docker driver

#1 [internal] load .dockerignore

#1 transferring context: 2B done

#1 DONE 0.0s

#2 [internal] load build definition from Dockerfile.custom

#2 transferring dockerfile: 99B done

#2 DONE 0.0s

#3 [internal] load metadata for ghcr.io/pytorch/torchx:0.1.0rc1

#3 DONE 0.3s

#4 [internal] load build context

#4 transferring context: 425B done

#4 DONE 0.0s

#5 [1/2] FROM ghcr.io/pytorch/torchx:0.1.0rc1@sha256:a738949601d82e7f100fa1efeb8dde0c35ce44c66726cf38596f96d78dcd7ad3

#5 resolve ghcr.io/pytorch/torchx:0.1.0rc1@sha256:a738949601d82e7f100fa1efeb8dde0c35ce44c66726cf38596f96d78dcd7ad3 done

#5 sha256:d2e110be24e168b42c1a2ddbc4a476a217b73cccdba69cdcb212b812a88f5726 857B / 857B 0.1s done

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#5 sha256:3dbec59e804974689ff0739216fb012d3e1cd6694632cd3a85b74b572266ec5c 7.21kB / 7.21kB done

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#5 sha256:6009a622672af862e3a3979ffd58a348f95208a4bc3b6f6cea2efda4e8390203 9.94MB / 9.94MB 0.3s done

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#5 extracting sha256:4bbfd2c87b7524455f144a03bf387c88b6d4200e5e0df9139a9d5e79110f89ca

#5 sha256:4bbfd2c87b7524455f144a03bf387c88b6d4200e5e0df9139a9d5e79110f89ca 26.70MB / 26.70MB 0.3s done

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#5 extracting sha256:4bbfd2c87b7524455f144a03bf387c88b6d4200e5e0df9139a9d5e79110f89ca 1.3s done

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#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 184.55MB / 1.71GB 1.8s

#5 sha256:909695be1d5003de345714eec2ca3020a48dd8f407fe918cbd47a8db73d7a233 164.63MB / 341.29MB 1.8s

#5 extracting sha256:d2e110be24e168b42c1a2ddbc4a476a217b73cccdba69cdcb212b812a88f5726 0.0s done

#5 sha256:909695be1d5003de345714eec2ca3020a48dd8f407fe918cbd47a8db73d7a233 201.33MB / 341.29MB 2.0s

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#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 277.87MB / 1.71GB 2.3s

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#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 373.29MB / 1.71GB 2.9s

#5 sha256:909695be1d5003de345714eec2ca3020a48dd8f407fe918cbd47a8db73d7a233 329.25MB / 341.29MB 2.9s

#5 sha256:143f801954310499daa44a8499a49797d2f282b5d56be601557ebe6cbf796907 459.28MB / 2.00GB 3.1s

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#5 extracting sha256:889a7173dcfeb409f9d88054a97ab2445f5a799a823f719a5573365ee3662b6f done

#5 sha256:143f801954310499daa44a8499a49797d2f282b5d56be601557ebe6cbf796907 666.89MB / 2.00GB 5.3s

#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 674.23MB / 1.71GB 5.7s

#5 extracting sha256:6009a622672af862e3a3979ffd58a348f95208a4bc3b6f6cea2efda4e8390203

#5 sha256:143f801954310499daa44a8499a49797d2f282b5d56be601557ebe6cbf796907 786.43MB / 2.00GB 5.9s

#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 765.46MB / 1.71GB 6.2s

#5 sha256:143f801954310499daa44a8499a49797d2f282b5d56be601557ebe6cbf796907 899.68MB / 2.00GB 6.5s

#5 extracting sha256:6009a622672af862e3a3979ffd58a348f95208a4bc3b6f6cea2efda4e8390203 0.8s done

#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 871.37MB / 1.71GB 6.8s

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#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 1.48GB / 1.71GB 10.4s

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#5 DONE 85.5s

#6 [2/2] ADD my_app.py .

#6 DONE 0.0s

#7 exporting to image

#7 exporting layers

#7 exporting layers 2.6s done

#7 writing image sha256:01bbd65874984cc572f3dcf55f1d7983e47d842c0e9e494c78eb6238a58d00d2 done

#7 naming to docker.io/library/my_app:latest done

#7 DONE 2.6s

We can then launch it on the local scheduler.

%%sh
torchx run --scheduler local_docker my_component.py:greet --image "my_app:latest" --user "your name"

torchx 2024-04-19 18:54:37 INFO     Tracker configurations: {}

torchx 2024-04-19 18:54:37 INFO     Checking for changes in workspace `file:///home/runner/work/torchx/torchx/docs/source`...

torchx 2024-04-19 18:54:37 INFO     To disable workspaces pass: --workspace="" from CLI or workspace=None programmatically.

torchx 2024-04-19 18:54:37 INFO     Workspace `file:///home/runner/work/torchx/torchx/docs/source` resolved to filesystem path `/home/runner/work/torchx/torchx/docs/source`

torchx 2024-04-19 18:54:37 WARNING  failed to pull image my_app:latest, falling back to local: 404 Client Error for http+docker://localhost/v1.43/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 2024-04-19 18:54:37 INFO     Building workspace docker image (this may take a while)...

torchx 2024-04-19 18:54:37 INFO     Step 1/4 : ARG IMAGE

torchx 2024-04-19 18:54:37 INFO     Step 2/4 : FROM $IMAGE

torchx 2024-04-19 18:54:37 INFO      ---> 01bbd6587498

torchx 2024-04-19 18:54:37 INFO     Step 3/4 : COPY . .

torchx 2024-04-19 18:54:40 INFO      ---> 0af448c28db6

torchx 2024-04-19 18:54:40 INFO     Step 4/4 : LABEL torchx.pytorch.org/version=0.7.0dev0

torchx 2024-04-19 18:54:40 INFO      ---> Running in bfcfbb66e768

torchx 2024-04-19 18:54:42 INFO     Removing intermediate container bfcfbb66e768

torchx 2024-04-19 18:54:42 INFO      ---> a92219edb016

torchx 2024-04-19 18:54:42 INFO     [Warning] One or more build-args [WORKSPACE] were not consumed

torchx 2024-04-19 18:54:42 INFO     Successfully built a92219edb016

torchx 2024-04-19 18:54:42 INFO     Built new image `sha256:a92219edb0165dce0236e7d66f6bc6ef6a6c9c82eabd2917d3d34ee044be9b54` based on original image `my_app:latest` and changes in workspace `file:///home/runner/work/torchx/torchx/docs/source` for role[0]=greeter.

torchx 2024-04-19 18:54:43 INFO     Waiting for the app to finish...

greeter/0 Hello, your name!

torchx 2024-04-19 18:54:44 INFO     Job finished: SUCCEEDED

local_docker://torchx/hello_world-mdsl6xc31k652

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:

%%sh
torchx builtins

Found 11 builtin components:

  1. dist.ddp

  2. dist.spmd

  3. metrics.tensorboard

  4. serve.torchserve

  5. utils.binary

  6. utils.booth

  7. utils.copy

  8. utils.echo

  9. utils.python

 10. utils.sh

 11. utils.touch

You can use these either from the CLI, from a pipeline or programmatically like you would any other component.

%%sh
torchx run utils.echo --msg "Hello :)"

torchx 2024-04-19 18:54:46 INFO     Tracker configurations: {}

torchx 2024-04-19 18:54:46 INFO     Checking for changes in workspace `file:///home/runner/work/torchx/torchx/docs/source`...

torchx 2024-04-19 18:54:46 INFO     To disable workspaces pass: --workspace="" from CLI or workspace=None programmatically.

torchx 2024-04-19 18:54:46 INFO     Workspace `file:///home/runner/work/torchx/torchx/docs/source` resolved to filesystem path `/home/runner/work/torchx/torchx/docs/source`

torchx 2024-04-19 18:57:04 INFO     Building workspace docker image (this may take a while)...

torchx 2024-04-19 18:57:04 INFO     Step 1/4 : ARG IMAGE

torchx 2024-04-19 18:57:04 INFO     Step 2/4 : FROM $IMAGE

torchx 2024-04-19 18:57:04 INFO      ---> 6631d167f8fb

torchx 2024-04-19 18:57:04 INFO     Step 3/4 : COPY . .

torchx 2024-04-19 18:57:09 INFO      ---> 4a1e5c927208

torchx 2024-04-19 18:57:09 INFO     Step 4/4 : LABEL torchx.pytorch.org/version=0.7.0dev0

torchx 2024-04-19 18:57:09 INFO      ---> Running in 5e78485f7e27

torchx 2024-04-19 18:57:13 INFO     Removing intermediate container 5e78485f7e27

torchx 2024-04-19 18:57:13 INFO      ---> 67878c4bf38c

torchx 2024-04-19 18:57:13 INFO     [Warning] One or more build-args [WORKSPACE] were not consumed

torchx 2024-04-19 18:57:13 INFO     Successfully built 67878c4bf38c

torchx 2024-04-19 18:57:13 INFO     Built new image `sha256:67878c4bf38c6d32f033e45aef0b591c55834bc05821d7bc31813fea7260da28` based on original image `ghcr.io/pytorch/torchx:0.7.0dev0` and changes in workspace `file:///home/runner/work/torchx/torchx/docs/source` for role[0]=echo.

torchx 2024-04-19 18:57:13 INFO     Waiting for the app to finish...

torchx 2024-04-19 18:57:14 INFO     Job finished: SUCCEEDED

echo/0 Hello :)

local_docker://torchx/echo-dmnbwzhwp2zggd