Comments (7)
Yes, indeed - you can run on AWS Batch with your own container -
@batch(image="my_image")
@step
def step(self):
...
from metaflow.
Is there a way to run such a flow locally?
from metaflow.
Not currently. What would be your use-case? You can specify specific dependencies locally using the @conda
decorator as well.
from metaflow.
Essentially testing workflows locally, where some of the steps are built by other teams in potentially other languages.
from metaflow.
We don't support this today on the local instances. Our recommendation is to use @conda
and/or execute in the cloud.
from metaflow.
Does @savingoyal 's last response answer your question? I'm wondering if we can close this issue as "will not fix".
from metaflow.
Sorry for the delay. Yes it's answering my question.
from metaflow.
Related Issues (20)
- Question: Access hash of a card while being populated HOT 2
- Conda environment being treated as disabled, and not appending environment to PATH.
- Metaflow crashes on AWS Batch if folder called `metaflow` is present in the working directory HOT 5
- Cardview on WSL error HOT 2
- S3 access denied even if I have full access to S3
- Certain flows failing on Argo Workflows =>3.5.0 HOT 1
- Metaflow job completion or exit handlers?
- run.finished not set when using AWS Step Functions and there's an error
- setting METAFLOW_OTEL_ENDPOINT when running in ECS fargate, not Kubernetes HOT 1
- add __repr__ methods to Parameter
- create contributing guide
- "Service token file does not exist" error when deploying flow to Argo from CI HOT 1
- argo-workflows create --only-json doesn't export the cron workflow configuration
- Using `tags` as a Parameter name breaks flow. HOT 1
- Add option to batch decorator to increase ephemeralStorage on Fargate
- `--package-suffixes` omits dotfiles HOT 1
- Is it possible to run metaflow steps in custom docker containers on local?
- Opentelemetry configuration not carrying over to Batch
- Add a priority class option for the kubernetes flow decorator HOT 1
- Reduce the number of reserved parameter names
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