dataflux_pytorch/benchmark/checkpointing/simulated/benchmark-deployment.yaml [50:62]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                - name: REPLICATED_JOB_NAME
                  valueFrom:
                    fieldRef:
                      fieldPath: metadata.annotations['jobset.sigs.k8s.io/replicatedjob-name']
                - name: JOB_INDEX
                  valueFrom:
                    fieldRef:
                      fieldPath: metadata.annotations['jobset.sigs.k8s.io/job-index']
                - name: JOB_COMPLETION_INDEX
                  valueFrom:
                    fieldRef:
                      fieldPath: metadata.annotations['batch.kubernetes.io/job-completion-index']
                - name: PROCESSES_IN_JOB
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dataflux_pytorch/benchmark/standalone_dataloader/deployment.yaml [51:64]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                - name: REPLICATED_JOB_NAME
                  valueFrom:
                    fieldRef:
                      fieldPath: metadata.annotations['jobset.sigs.k8s.io/replicatedjob-name']
                - name: JOB_INDEX
                  valueFrom:
                    fieldRef:
                      fieldPath: metadata.annotations['jobset.sigs.k8s.io/job-index']
                - name: JOB_COMPLETION_INDEX
                  valueFrom:
                    fieldRef:
                      fieldPath: metadata.annotations['batch.kubernetes.io/job-completion-index']
                # Modify the following two values too, if you intend to run the workload in smaller scale.
                - name: PROCESSES_IN_JOB
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