C3W3_Graded_Lab_Error__PROJECT_ID No such file or directory

Course Q&A Machine Learning Engineering for Production(MLOps) Machine Learning Modeling Pipelines in Production
1

tudent_04_90dd4e42cdb7@cloudshell:~/lab-files (qwiklabs-gcp-02-48cd9b3e2da5) echo {PROJECT_ID}
qwiklabs-gcp-02-48cd9b3e2da5
student_04_90dd4e42cdb7@cloudshell:~/lab-files (qwiklabs-gcp-02-48cd9b3e2da5) gcr.io/{PROJECT_ID}/mnist-train
-bash: gcr.io/qwiklabs-gcp-02-48cd9b3e2da5/mnist-train: No such file or directory

student_04_90dd4e42cdb7@cloudshell:~/lab-files (qwiklabs-gcp-02-48cd9b3e2da5)$ kubectl get pods
NAME READY STATUS RESTARTS AGE
multi-worker-worker-0 0/1 ErrImagePull 0 63s
multi-worker-worker-1 0/1 ErrImagePull 0 63s
multi-worker-worker-2 0/1 ErrImagePull 0 63s

student_04_90dd4e42cdb7@cloudshell:~/lab-files (qwiklabs-gcp-02-48cd9b3e2da5) kubectl logs --follow {JOB_NAME}-worker-0
Error from server (BadRequest): container “tensorflow” in pod “multi-worker-worker-0” is waiting to start: trying and failing to pull image
student_04_90dd4e42cdb7@cloudshell:~/lab-files (qwiklabs-gcp-02-48cd9b3e2da5) kubectl logs {JOB_NAME}-worker-1
Error from server (BadRequest): container “tensorflow” in pod “multi-worker-worker-1” is waiting to start: trying and failing to pull image

2

Hi,

I have moved this post to the MLEP course 3 category. Make sure if you have any course-specific doubts, explore the specialization category and post in the relevant course subcategory as course-specific mentors are actively answering the queries there and the threads in the general discussion might not come on their radar.

3

Hi! It’s possible that you weren’t able to push your image to the registry successfully. Please revisit this snippet in the lab and see if the build and push succeeds:

To build the image and push it to the registry execute the below commands.

IMAGE_NAME=mnist-train

docker build -t gcr.io/${PROJECT_ID}/${IMAGE_NAME} .
docker push gcr.io/${PROJECT_ID}/${IMAGE_NAME}

Hope this helps!

1 Like