Comments (7)
Yes, indeed - you can run on AWS Batch with your own container -
@batch(image="my_image")
@step
def step(self):
...
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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.
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Related Issues (20)
- Argo Events: trigger sensors are not deleted
- Allow option to set labels on pods using `kubernetes` decorator HOT 1
- Bug: Runner API doesn't pass parameters to flows as expected HOT 4
- Log failure reason in slack alerts for deployed flow failures
- Display full trigger event payload in metaflow ui HOT 1
- ArgoEvents.publish attempts to make requests even when url is None HOT 1
- @conda/@pypi appears to remove CUDA instructions for GPU HOT 4
- support json event payload for local testing through --trigger
- Caching steps HOT 1
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- An error occurred with Micromamba while creating a workflow containing @pypi HOT 2
- micromamba complain from @pypi_base about package incompatibility in intel macos HOT 5
- argo-workflows create --only-json doesn't export sensor configuration
- Argo Workflows Overrides Image in @kubernetes annotation. HOT 2
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- S3 External Client Option Ignored by s3op
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- `MetaflowData.__getattr__` should raise `AttributeError` on failure
- Request: Allow shadowing in metaflow_extensions HOT 2
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