For Engineering

ConvBlock import torch import torch.nn as nn class ConvBlock(nn.Module): def __init__(self, in_channels, out_channels, kernel_size, padding=0, stride=1): super(ConvBlock, self).__init__() self.layers = nn.Sequential( nn.Conv2d(in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, padding=padding, stride=stride), nn.ReLU() ) def __call__(self, x): x = self.layers(x) return ..

참고자료 : https://pytorch.kr/hub/pytorch_vision_vgg/ 모델 구성 class VGG11(nn.Module): def __init__(self): super(VGG11, self).__init__() self.conv1 = nn.Sequential( nn.Conv2d(in_channels=3, out_channels=64, padding=1, kernel_size=3), nn.ReLU(), nn.MaxPool2d(kernel_size=2, padding=0, stride=2) ) self.conv2 = nn.Sequential( nn.Conv2d(in_channels=64, out_channels=128, padding=1, kernel_size=3), nn.ReLU(),..

https://artifacthub.io/packages/helm/prometheus-community/kube-prometheus-stack # helm repo 설정 helm repo add prometheus-community https://prometheus-community.github.io/helm-charts helm repo update # 바로 설치 : helm install prom-stack prometheus-community/kube-prometheus-stack # 설치 옵션 설정 helm pull prometheus-community/kube-prometheus-stack tar xf kube-prometheus-stack-54.2.1.tgz cd kube-prometheus-..

https://kubernetes.github.io/ingress-nginx/deploy/#bare-metal-clusters wget https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v1.8.2/deploy/static/provider/baremetal/deploy.yaml vi deploy.yaml # nodePort 고정 nodePort: 30080 # 추가 nodePort: 30443 # 추가 kubectl apply -f deploy.yaml kubectl get ingressclass -o json

model import torch.nn as nn class Classifier(nn.Module): def __init__(self): super(Classifier, self).__init__() self.fc1 = nn.Linear(in_features=2, out_features=16) self.fc_act1 = nn.ReLU() self.fc2 = nn.Linear(in_features=16, out_features=32) self.fc_act2 = nn.ReLU() self.fc3 = nn.Linear(in_features=32, out_features=4) def forward(self, x): x = self.fc1(x) x = self.fc_act1(x) x = self.fc2(x) x ..

환경 : colab model import torch.nn as nn class XorModel(nn.Module): def __init__(self, n1=3): super(XorModel, self).__init__() self.fc1 = nn.Linear(in_features=2, out_features=n1) self.fc_act1 = nn.Sigmoid() self.fc2 = nn.Linear(in_features=n1, out_features=1) self.fc_act2 = nn.Sigmoid() def forward(self, x): x = self.fc1(x) x = self.fc_act1(x) x = self.fc2(x) x = self.fc_act2(x) x = x.view(-1) re..

kustomize : https://kubectl.docs.kubernetes.io/installation/kustomize/binaries/ storageclass : https://forcloud.tistory.com/202 kubeflow : https://github.com/kubeflow/manifests#install-with-a-single-command git clone https://github.com/kubeflow/manifests.git && cd manifests 설치 : while ! kustomize build example | kubectl apply -f -; do echo "Retrying to apply resources"; sleep 10; done 삭제 : kusto..

쿠버네티스 모든 노드에 nfs client 설치가 필요하다. 이거 때문에 주말을 날렸다.. 요약 # install nfs-server sudo apt update && sudo apt install nfs-kernel-server sudo mkdir -p /nfs sudo chmod 777 /nfs # 검토 필요 sudo chown -R nobody:nogroup /nfs sudo echo '/nfs 10.0.0.0/24(rw,sync,no_subtree_check)' >> /etc/exports sudo exportfs -a sudo systemctl restart nfs-kernel-server # client nfs test sudo apt update && sudo apt install nfs-..

백그라운드 실행 : nohup & 예시 : nohup python3 app.py &

너무 감사한 블로그 https://thekoguryo.github.io/oracle-cloudnative/oss/ingress-controller/2.nginx-ingress-path/ 공식 문서: https://kubernetes.github.io/ingress-nginx/examples/rewrite/ URL예시 : localhost/project 파드까지 통신확인 했으나 'http://localhost/project/index.html'을 벗어나질 못했다. rewrite로 'project' 후의 파라미터도 던져줘야한다. apiVersion: networking.k8s.io/v1 kind: Ingress metadata: annotations: nginx.ingress.kubernetes.io/rew..