Jupyterlab how to

I used

module "jupyterlab" {
  count    = data.coder_workspace.me.start_count
  source   = "registry.coder.com/modules/jupyterlab/coder"
  version  = "1.0.30"
  agent_id = coder_agent.main.id
}

module "jupyterlab" {
  count    = data.coder_workspace.me.start_count
  source   = "registry.coder.com/modules/jupyterlab/coder"
  version  = "1.0.30"
  agent_id = coder_agent.main.id
}

Not sure if it create conda env, but i cant install other packages. Also i want to use my gpu in that coder space. I use kubernetes, k3s and my pods are ready

kube-amd-gpu           amd-gpu-operator-gpu-operator-charts-controller-manager-56vj26n   1/1     Running     36 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-kmm-controller-7555dfd458-jm79v                  1/1     Running     38 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-kmm-webhook-server-8549795656-dftmj              1/1     Running     23 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-node-feature-discovery-gc-76ddd7ff65-5m8kj       1/1     Running     23 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-node-feature-discovery-master-75649cc887-lhmb8   1/1     Running     23 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-node-feature-discovery-worker-sd99w              1/1     Running     28 (26m ago)   12d

kube-amd-gpu           amd-gpu-operator-gpu-operator-charts-controller-manager-56vj26n   1/1     Running     36 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-kmm-controller-7555dfd458-jm79v                  1/1     Running     38 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-kmm-webhook-server-8549795656-dftmj              1/1     Running     23 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-node-feature-discovery-gc-76ddd7ff65-5m8kj       1/1     Running     23 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-node-feature-discovery-master-75649cc887-lhmb8   1/1     Running     23 (26m ago)   12d
kube-amd-gpu           amd-gpu-operator-node-feature-discovery-worker-sd99w              1/1     Running     28 (26m ago)   12d

Checked docs/articles but non found. Having some for this would be great. Thank you

13 Replies

emircanerkulOP•2w ago

https://github.com/ROCm/gpu-operator/issues/154

GitHub

[Feature]: RDNA 2 Support · Issue #154 · ROCm/gpu-operator

Suggestion Description I have 6800xt but it do not detect my card. Name: rocminfo Namespace: default Priority: 0 Service Account: default Node: <none> Labels: <none> Annotations: <no...

emircanerkulOP•2w ago

sample pod with amd gpu

apiVersion: v1
kind: Pod
metadata:
 name: amd-smi
spec:
 containers:
 - image: docker.io/rocm/pytorch:latest
   name: amd-smi
   command: ["/bin/bash"]
   args: ["-c","amd-smi version && amd-smi monitor -ptum"]
   resources:
    limits:
      amd.com/gpu: 1
    requests:
      amd.com/gpu: 1
 restartPolicy: Never

apiVersion: v1
kind: Pod
metadata:
 name: amd-smi
spec:
 containers:
 - image: docker.io/rocm/pytorch:latest
   name: amd-smi
   command: ["/bin/bash"]
   args: ["-c","amd-smi version && amd-smi monitor -ptum"]
   resources:
    limits:
      amd.com/gpu: 1
    requests:
      amd.com/gpu: 1
 restartPolicy: Never

Phorcys•2w ago

it doesn't seem to create a conda env, no so either you'll have to set up a virtualenv yourself or use !sudo apt install python3-<package> instead in your notebook

emircanerkulOP•2w ago

okay, what about gpu passthrough? or lets say gpu scheduling in kubernetes world 🙂 I had proxmox background

emircanerkulOP•2w ago

after checking scripts i see pipx does the thing

!pipx install tensorflow
!pipx inject jupyterlab tensorflow

!pipx install tensorflow
!pipx inject jupyterlab tensorflow

emircanerkulOP•2w ago

          resources {
            requests = {
              "cpu"    = "250m"
              "memory" = "512Mi"
              "amd.com/gpu" = 1
            }
            limits = {
              "cpu"    = "${data.coder_parameter.cpu.value}"
              "memory" = "${data.coder_parameter.memory.value}Gi"
              "amd.com/gpu" = 1
            }
          }

          resources {
            requests = {
              "cpu"    = "250m"
              "memory" = "512Mi"
              "amd.com/gpu" = 1
            }
            limits = {
              "cpu"    = "${data.coder_parameter.cpu.value}"
              "memory" = "${data.coder_parameter.memory.value}Gi"
              "amd.com/gpu" = 1
            }
          }

not sure but could be driver issue..

emircanerkulOP•2w ago

Atif•2w ago

Usually the expectation is that the environment(workspace) is pre-configured with GPU access and any other tools i.e. pytorch etc. The module only starts (and optionally installs) the jupyterlab ik the workspace

Phorcys•7d ago

(@emircanerkul )

emircanerkulOP•7d ago

couldn't get it @Phorcys I already installed the module also spesified gpu labels as like i did in other outside coder pods but getting that error. second run i only see cpus not gpu

Phorcys•5d ago

would you be able to share your base image?

emircanerkulOP•5d ago

Sure; here all tf code.

message.txt

emircanerkulOP•5d ago

codercom/enterprise-base:ubuntu

Gaming

Programming

Jupyterlab how to

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