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.
Builtins¶
Before writing a custom component, check if any of the builtin components satisfy your needs. TorchX provides a number of builtin components with premade images. You can discover them via:
[1]:
%%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.
[2]:
%%sh
torchx run utils.echo --msg "Hello :)"
torchx 2025-11-14 18:39:58 INFO Tracker configurations: {}
torchx 2025-11-14 18:39:58 INFO Workspace `/home/runner/work/torchx/torchx/docs/source` resolved to filesystem path `/home/runner/work/torchx/torchx/docs/source`
torchx 2025-11-14 18:42:48 INFO Building workspace docker image (this may take a while)...
torchx 2025-11-14 18:42:48 INFO Step 1/4 : ARG IMAGE
torchx 2025-11-14 18:42:48 INFO Step 2/4 : FROM $IMAGE
torchx 2025-11-14 18:42:48 INFO ---> da9ca21e8d49
torchx 2025-11-14 18:42:48 INFO Step 3/4 : COPY . .
torchx 2025-11-14 18:42:54 INFO ---> df9a5327dd55
torchx 2025-11-14 18:42:54 INFO Step 4/4 : LABEL torchx.pytorch.org/version=0.8.0dev0
torchx 2025-11-14 18:42:54 INFO ---> Running in e498a2f143c0
torchx 2025-11-14 18:43:00 INFO ---> Removed intermediate container e498a2f143c0
torchx 2025-11-14 18:43:00 INFO ---> 94909e79e5c8
torchx 2025-11-14 18:43:00 INFO [Warning] One or more build-args [WORKSPACE] were not consumed
torchx 2025-11-14 18:43:00 INFO Successfully built 94909e79e5c8
torchx 2025-11-14 18:43:00 INFO role[0]=echo updated with new image to include workspace changes
torchx 2025-11-14 18:43:01 INFO Waiting for the app to finish...
torchx 2025-11-14 18:43:01 INFO Job finished: SUCCEEDED
echo/0 Hello :)
local_docker://torchx/echo-ckxpfx4kgpx2l
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.
[3]:
%%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.
[4]:
%%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.
[5]:
%%sh
torchx run --scheduler local_cwd my_component.py:greet --user "your name"
torchx 2025-11-14 18:43:01 INFO Tracker configurations: {}
torchx 2025-11-14 18:43:01 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 2025-11-14 18:43:01 INFO Log directory is: /tmp/torchx_n3kk8tfw
torchx 2025-11-14 18:43:01 INFO Waiting for the app to finish...
greeter/0 Hello, your name!
torchx 2025-11-14 18:43:02 INFO Job finished: SUCCEEDED
local_cwd://torchx/hello_world-n11rcdrvdd2tl
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/
[6]:
%%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.
[7]:
%%sh
docker build -t my_app:latest -f Dockerfile.custom .
#0 building with "default" instance using docker driver
#1 [internal] load build definition from Dockerfile.custom
#1 transferring dockerfile: 99B done
#1 DONE 0.0s
#2 [internal] load metadata for ghcr.io/pytorch/torchx:0.1.0rc1
#2 DONE 0.9s
#3 [internal] load .dockerignore
#3 transferring context: 2B done
#3 DONE 0.0s
#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 sha256:3dbec59e804974689ff0739216fb012d3e1cd6694632cd3a85b74b572266ec5c 7.21kB / 7.21kB done
#5 sha256:4bbfd2c87b7524455f144a03bf387c88b6d4200e5e0df9139a9d5e79110f89ca 0B / 26.70MB 0.1s
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#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 872.42MB / 1.71GB 9.4s
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#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 1.16GB / 1.71GB 12.9s
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#5 sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 1.35GB / 1.71GB 15.3s
#5 sha256:909695be1d5003de345714eec2ca3020a48dd8f407fe918cbd47a8db73d7a233 295.70MB / 341.29MB 15.3s
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#5 extracting sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 10.1s
#5 extracting sha256:f18d016c4ccc1c57c9e34cb119e1e1966287b08aa9b4d52a38b30815a56574b6 13.5s done
#5 extracting sha256:c0ad16d9fa05dbf708784e8aa10d69153465bae391345020be52cbe0a1701932
#5 extracting sha256:c0ad16d9fa05dbf708784e8aa10d69153465bae391345020be52cbe0a1701932 done
#5 extracting sha256:30587ba7fd6bcbd1c883125d84517055b2d7f2d35a13faedbc8b15f94b900cc2 done
#5 extracting sha256:909695be1d5003de345714eec2ca3020a48dd8f407fe918cbd47a8db73d7a233
#5 extracting sha256:909695be1d5003de345714eec2ca3020a48dd8f407fe918cbd47a8db73d7a233 5.1s
#5 extracting sha256:909695be1d5003de345714eec2ca3020a48dd8f407fe918cbd47a8db73d7a233 10.1s
#5 extracting sha256:909695be1d5003de345714eec2ca3020a48dd8f407fe918cbd47a8db73d7a233 14.4s done
#5 extracting sha256:f119a6d0a466a041afbcb08344ff624b5c5ac5f68b93d33af4827529ea1a6800
#5 extracting sha256:f119a6d0a466a041afbcb08344ff624b5c5ac5f68b93d33af4827529ea1a6800 0.0s done
#5 extracting sha256:88d87059c913e67971846680d4032b75f96f599f8a67062f668fed6471fc2968
#5 extracting sha256:88d87059c913e67971846680d4032b75f96f599f8a67062f668fed6471fc2968 0.0s done
#5 DONE 88.2s
#6 [2/2] ADD my_app.py .
#6 DONE 0.0s
#7 exporting to image
#7 exporting layers
#7 exporting layers 4.4s done
#7 writing image sha256:3ad8a9021d9fea8e978729438a58835c075d597145aed890f60873f9eef750f7 done
#7 naming to docker.io/library/my_app:latest done
#7 DONE 4.4s
We can then launch it on the local scheduler.
[8]:
%%sh
torchx run --scheduler local_docker my_component.py:greet --image "my_app:latest" --user "your name"
torchx 2025-11-14 18:44:37 INFO Tracker configurations: {}
torchx 2025-11-14 18:44:37 INFO Workspace `/home/runner/work/torchx/torchx/docs/source` resolved to filesystem path `/home/runner/work/torchx/torchx/docs/source`
torchx 2025-11-14 18:44:37 WARNING failed to pull image my_app:latest, falling back to local: 404 Client Error for http+docker://localhost/v1.48/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 2025-11-14 18:44:37 INFO Building workspace docker image (this may take a while)...
torchx 2025-11-14 18:44:37 INFO Step 1/4 : ARG IMAGE
torchx 2025-11-14 18:44:37 INFO Step 2/4 : FROM $IMAGE
torchx 2025-11-14 18:44:37 INFO ---> 3ad8a9021d9f
torchx 2025-11-14 18:44:37 INFO Step 3/4 : COPY . .
torchx 2025-11-14 18:44:42 INFO ---> 13c7a1f78fc2
torchx 2025-11-14 18:44:42 INFO Step 4/4 : LABEL torchx.pytorch.org/version=0.8.0dev0
torchx 2025-11-14 18:44:42 INFO ---> Running in 07060f61dace
torchx 2025-11-14 18:44:46 INFO ---> Removed intermediate container 07060f61dace
torchx 2025-11-14 18:44:46 INFO ---> c18a7123ed26
torchx 2025-11-14 18:44:46 INFO [Warning] One or more build-args [WORKSPACE] were not consumed
torchx 2025-11-14 18:44:46 INFO Successfully built c18a7123ed26
torchx 2025-11-14 18:44:46 INFO role[0]=greeter updated with new image to include workspace changes
torchx 2025-11-14 18:44:46 INFO Waiting for the app to finish...
greeter/0 Hello, your name!
torchx 2025-11-14 18:44:47 INFO Job finished: SUCCEEDED
local_docker://torchx/hello_world-hggzp0gjx0tqvd
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"
