Comments (4)
Hey! Interested in this project, could I be assigned to this issue?
Sure, feel free to assign yourself with /assign
comment.
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@tenzen-y:
This request has been marked as suitable for new contributors.
Please ensure the request meets the requirements listed here.
If this request no longer meets these requirements, the label can be removed
by commenting with the /remove-good-first-issue
command.
In response to this:
Currently, we support only the AMD64 platform in all PyTorch examples.
However, some users use ARM64 machines such as Macbooks. So, supporting the ARM64 platform allows users to try the training-operator examples on their machines easily.Contributors should support the following examples by adding the platform parameters here:
- examples/pytorch/cpu-demo/Dockerfile
- examples/pytorch/elastic/imagenet/Dockerfile
- examples/pytorch/elastic/echo/Dockerfile
- examples/pytorch/mnist/Dockerfile
- examples/pytorch/mnist/Dockerfile-mpi
- examples/pytorch/smoke-dist/Dockerfile
/good-first-issue
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository.
from training-operator.
Hey! Interested in this project, could I be assigned to this issue?
from training-operator.
/assign
from training-operator.
Related Issues (20)
- Update developer guide to handle missing training-operator-webhook-cert HOT 2
- Job Status is failed, when scale-in ps. HOT 4
- Failed K8s nodes leave jobs hanging indefinitely HOT 3
- Update examples for `train` API HOT 1
- [Question] Training Operator v1.8 Release Date HOT 1
- Why manifests/base/service.yaml does not include webhook server port (443) in version 1.7.0~1.5.0? HOT 7
- Not getting Kubeflow Training SDK v1.7 when installing `kubeflow-training` HOT 13
- Flaky Test: [It] should create desired Pods and Services: Distributed TFJob (4 workers, 2 PS) is succeeded
- MPIJob requires service names for the pods. HOT 3
- Add DeepSpeed Example with MPI Operator HOT 9
- chore(style): provide type for `STORAGE_INITIALIZER_VOLUME` constant
- fix(compatability): match-case syntax only compatible with Python3.10 HOT 5
- Export Fine-Tuned LLM after Trainer is Complete HOT 3
- Vulnerability - CVE-2023-44487 HOT 3
- Support ARM64 platform in TensorFlow examples HOT 4
- Support ARM64 platform in XGBoost examples HOT 2
- Update third party worflows in the gh actions HOT 4
- mpijob will stuck if LastReconcileTime is updated in 1 second
- Worker failed without exit code
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