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BREAKING CHANGE: this version of madwizard updates the profile keys in a way that renders prior profiles invalid. BREAKING CHANGE: this version of madwizared necessitates guidebook to use import rather than inlining for sub-guidebooks that offer the user a choice. this is done so that each choice can be easily scoped based on the filepath of that guidebook within the store hierarchy.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,24 +1,22 @@ | ||
| { | ||
| "name": "keep-it-simple", | ||
| "creationTime": 1660657756574, | ||
| "lastModifiedTime": 1660658307175, | ||
| "lastUsedTime": 1660742079201, | ||
| "lastModifiedTime": 1664204582770, | ||
| "lastUsedTime": 1664204346367, | ||
| "choices": { | ||
| "madwizard/apriori/use-gpu": "don't use gpus", | ||
| "madwizard/apriori/arch": "x64", | ||
| "madwizard/apriori/platform": "darwin", | ||
| "madwizard/apriori/mac-installer": "Homebrew", | ||
| "madwizard/apriori/in-terminal": "HTML", | ||
| "Start a new Run####Connect Dashboard to an existing Run####Boot up a Cloud Computer####Shut down a Cloud Computer": "Start a new Run", | ||
| "Run with CodeFlare Model Architecture####Bring Your Own Code####Demos": "Bring Your Own Code", | ||
| "Location of your working directory": "{\"Location of your working directory\":\"tests/kind/inputs/ray-tune-tutorial\"}", | ||
| "Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray-ml:1.13.1-py37-gpu\"}", | ||
| "AWS####IBM####My data is not stored in S3": "My data is not stored in S3", | ||
| "Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster", | ||
| "My Cluster is Running Locally####My Cluster is Running on Kubernetes": "My Cluster is Running on Kubernetes", | ||
| "expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test", | ||
| "expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl get ${KUBE_CONTEXT_ARG} ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default", | ||
| "Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"1\",\"Number of GPUs\":\"1\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"5Gi\",\"Head Memory\":\"1.5Gi\"}", | ||
| "Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Keep It Simple" | ||
| "ml/codeflare": "Start a new Run", | ||
| "ml/codeflare/run": "Bring Your Own Code", | ||
| "ml/codeflare/training/byoc/working-directory": "{\"Location of your working directory\":\"tests/kind/inputs/ray-tune-tutorial\"}", | ||
| "ml/codeflare/training/byoc/base-ray-image": "{\"Provide custom base image, if any\":\"rayproject/ray-ml:1.13.1-py37-gpu\"}", | ||
| "s3/choose/instance-maybe": "My data is not stored in S3", | ||
| "ml/ray/start/resources": "{\"Number of CPUs\":\"1\",\"Number of GPUs\":\"1\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"5Gi\",\"Head Memory\":\"1.5Gi\"}", | ||
| "kubernetes/context": "kind-codeflare-test", | ||
| "kubernetes/choose/ns-with-context": "default", | ||
| "ml/ray/cluster/kubernetes/choose-pod-scheduler": "Keep It Simple" | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,25 +1,22 @@ | ||
| { | ||
| "name": "keep-it-simple", | ||
| "creationTime": 1660657756574, | ||
| "lastModifiedTime": 1660658307175, | ||
| "lastUsedTime": 1661620649166, | ||
| "creationTime": 1664149787016, | ||
| "lastModifiedTime": 1664149821230, | ||
| "lastUsedTime": 1664149787016, | ||
| "choices": { | ||
| "madwizard/apriori/use-gpu": "don't use gpus", | ||
| "madwizard/apriori/arch": "x64", | ||
| "madwizard/apriori/platform": "darwin", | ||
| "madwizard/apriori/mac-installer": "Homebrew", | ||
| "madwizard/apriori/in-terminal": "HTML", | ||
| "Start a new Run####Connect Dashboard to an existing Run####Boot up a Cloud Computer####Shut down a Cloud Computer": "Start a new Run", | ||
| "Run with CodeFlare Model Architecture####Bring Your Own Code####Demos": "Bring Your Own Code", | ||
| "BERT####MLFlow Demo####Tensorboard Demo": "MLFlow Demo", | ||
| "Location of your working directory": "{\"Location of your working directory\":\"tests/kind/inputs/qiskit\"}", | ||
| "Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}", | ||
| "AWS####IBM####My data is not stored in S3": "My data is not stored in S3", | ||
| "Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster", | ||
| "My Cluster is Running Locally####My Cluster is Running on Kubernetes": "My Cluster is Running on Kubernetes", | ||
| "expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test", | ||
| "expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl get ${KUBE_CONTEXT_ARG} ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default", | ||
| "Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"500m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"2Gi\",\"Head Memory\":\"2Gi\"}", | ||
| "Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Keep It Simple" | ||
| "ml/codeflare": "Start a new Run", | ||
| "ml/codeflare/run": "Bring Your Own Code", | ||
| "ml/codeflare/training/byoc/working-directory": "{\"Location of your working directory\":\"tests/kind/inputs/qiskit\"}", | ||
| "ml/codeflare/training/byoc/base-ray-image": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}", | ||
| "s3/choose/instance-maybe": "My data is not stored in S3", | ||
| "ml/ray/start/resources": "{\"Number of CPUs\":\"500m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"2Gi\",\"Head Memory\":\"2Gi\"}", | ||
| "kubernetes/context": "kind-codeflare-test", | ||
| "kubernetes/choose/ns-with-context": "default", | ||
| "ml/ray/cluster/kubernetes/choose-pod-scheduler": "Keep It Simple" | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,26 +1,23 @@ | ||
| { | ||
| "name": "mcad-coscheduler", | ||
| "name": "zzz", | ||
| "creationTime": 1660657756574, | ||
| "lastModifiedTime": 1660747919298, | ||
| "lastUsedTime": 1660755725660, | ||
| "lastModifiedTime": 1664150418757, | ||
| "lastUsedTime": 1664150668384, | ||
| "choices": { | ||
| "madwizard/apriori/use-gpu": "don't use gpus", | ||
| "madwizard/apriori/arch": "x64", | ||
| "madwizard/apriori/platform": "darwin", | ||
| "madwizard/apriori/mac-installer": "Homebrew", | ||
| "madwizard/apriori/in-terminal": "HTML", | ||
| "Start a new Run####Connect Dashboard to an existing Run####Boot up a Cloud Computer####Shut down a Cloud Computer": "Start a new Run", | ||
| "Run with CodeFlare Model Architecture####Bring Your Own Code####Demos": "Bring Your Own Code", | ||
| "BERT####MLFlow Demo####Tensorboard Demo": "MLFlow Demo", | ||
| "Location of your working directory": "{\"Location of your working directory\":\"tests/kind/inputs/qiskit\"}", | ||
| "Provide custom base image, if any": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}", | ||
| "AWS####IBM####My data is not stored in S3": "My data is not stored in S3", | ||
| "Run Locally####Run on a Kubernetes Cluster": "Run on a Kubernetes Cluster", | ||
| "My Cluster is Running Locally####My Cluster is Running on Kubernetes": "My Cluster is Running on Kubernetes", | ||
| "expand((kubectl config get-contexts -o name | grep -E . >& /dev/null && kubectl config get-contexts -o name) || (kubectl version | grep Server >& /dev/null && echo \"${KUBE_CONTEXT_FOR_TEST-In-cluster}\" || exit 1), Kubernetes contexts)": "kind-codeflare-test", | ||
| "expand([ -z ${KUBE_CONTEXT} ] && exit 1 || X=$([ -n \"$KUBE_NS_FOR_TEST\" ] && echo $KUBE_NS_FOR_TEST || kubectl get ${KUBE_CONTEXT_ARG} ns -o name || oc ${KUBE_CONTEXT_ARG} get projects -o name); echo \"$X\" | sed -E 's#(namespace|project.project.openshift.io)/##' | grep -Ev 'openshift|kube-', Kubernetes namespaces)####Create a namespace": "default", | ||
| "Number of CPUs####Number of GPUs####Minimum Workers####Maximum Workers####Worker Memory####Head Memory": "{\"Number of CPUs\":\"250m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"2Gi\",\"Head Memory\":\"2Gi\"}", | ||
| "Keep It Simple####Use the Ray Autoscaler####Use the Multi-user Enhanced Kubernetes Scheduler": "Use the Multi-user Enhanced Kubernetes Scheduler", | ||
| "My administrator has already installed and configured MCAD####MCAD with the Advanced Coscheduler####MCAD with the Default Kubernetes Scheduler": "MCAD with the Advanced Coscheduler" | ||
| "ml/codeflare": "Start a new Run", | ||
| "ml/codeflare/run": "Bring Your Own Code", | ||
| "ml/codeflare/training/byoc/working-directory": "{\"Location of your working directory\":\"tests/kind/inputs/qiskit\"}", | ||
| "ml/codeflare/training/byoc/base-ray-image": "{\"Provide custom base image, if any\":\"rayproject/ray:1.13.1-py37\"}", | ||
| "s3/choose/instance-maybe": "My data is not stored in S3", | ||
| "ml/ray/start/resources": "{\"Number of CPUs\":\"200m\",\"Number of GPUs\":\"0\",\"Minimum Workers\":\"1\",\"Maximum Workers\":\"1\",\"Worker Memory\":\"1750Mi\",\"Head Memory\":\"1750Mi\"}", | ||
| "kubernetes/context": "kind-codeflare-test", | ||
| "kubernetes/choose/ns-with-context": "default", | ||
| "ml/ray/cluster/kubernetes/choose-pod-scheduler": "Use the Multi-user Enhanced Kubernetes Scheduler", | ||
| "kubernetes/mcad/choose/scheduler": "MCAD with the Advanced Coscheduler" | ||
| } | ||
| } |
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