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replace old image with broken download links #1275

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Dec 10, 2024
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replace old image with broken download links #1275

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8 changes: 4 additions & 4 deletions docs/Researcher/Walkthroughs/walkthrough-distributed-training.md
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Expand Up @@ -61,7 +61,7 @@ To complete this Quickstart __via the CLI__, you will need to have the Run:ai CL
``` bash
runai config project team-a
runai submit-dist pytorch dist-train1 --workers=2 -g 0.1 \
-i gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0
-i kubeflow/pytorch-dist-mnist:latest
```

!!! Note
Expand All @@ -73,7 +73,7 @@ To complete this Quickstart __via the CLI__, you will need to have the Run:ai CL
``` bash
runai project set team-a
runai distributed submit dist-train1 --framework PyTorch \
-i gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0 --workers 2
-i kubeflow/pytorch-dist-mnist:latest --workers 2
--gpu-request-type portion --gpu-portion-request 0.1 --gpu-devices-request 1 --cpu-memory-request 100M
```
!!! Note
Expand All @@ -85,7 +85,7 @@ To complete this Quickstart __via the CLI__, you will need to have the Run:ai CL
* You should already have `Cluster`, `Project` and a `start from scratch` `Template` selected.
* Under `Workload architecture` select `Distributed` and choose `PyTorch`. Set the distributed training configuration to `Workers & master`.
* Enter `train1` as the name and press __CONTINUE__.
* Select __NEW ENVIRONMENT__. Enter `pytorch-dt` as the name and `gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0` as the image. Then select __CREATE ENVIRONMENT__.
* Select __NEW ENVIRONMENT__. Enter `pytorch-dt` as the name and `kubeflow/pytorch-dist-mnist:latest` as the image. Then select __CREATE ENVIRONMENT__.
* When the previous screen comes up, under `Compute resource` enter 2 workers and select `small-fraction` as the Compute resource.
* Select __CONTINUE__ and then __CREATE TRAINING__.

Expand All @@ -109,7 +109,7 @@ To complete this Quickstart __via the CLI__, you will need to have the Run:ai CL
"gpuDevicesRequest": 1,
"gpuPortionRequest": 0.1
},
"image": "gcr.io/kubeflow-ci/pytorch-dist-mnist_test:1.0",
"image": "kubeflow/pytorch-dist-mnist:latest",
"numWorkers": 2, \ # (5)
"distributedFramework": "PyTorch" \ # (6)
}
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