Opinie (TFX on Cloud AI Platform Pipelines)

LIZBETH GUADALUPE F. · Sprawdzono ponad rok temu

Vijay . · Sprawdzono ponad rok temu

Cédric b. · Sprawdzono ponad rok temu

Andrés C. · Sprawdzono ponad rok temu

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline. If you're getting stuck on task 1, make sure that step 6 has been performed correctly. You should be deploying via kubeflow pipelines and it will be visible in the applications tab in GKE if deployed. If you have issues with the notebook, you can look at the solutions in the cloned repo which can help with passing completion checks as sometimes the checks are finnicky.

Asher C. · Sprawdzono ponad rok temu

Sathit P. · Sprawdzono ponad rok temu

Luis Fernando . · Sprawdzono ponad rok temu

Krishnan R. · Sprawdzono ponad rok temu

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Sprawdzono ponad rok temu

Problem in the workbench based task

Darshan B. · Sprawdzono ponad rok temu

Mario H. · Sprawdzono ponad rok temu

Bowon P. · Sprawdzono ponad rok temu

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1. and, on the second try: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '300.0'. project has a quota of '500.0' with '0.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=qwiklabs-gcp-00-f16c04fc5d89.

wade a. · Sprawdzono ponad rok temu

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1. and, on the second try: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '300.0'. project has a quota of '500.0' with '0.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=qwiklabs-gcp-00-f16c04fc5d89.

wade a. · Sprawdzono ponad rok temu

cluster would not deploy successfully

Dylan B. · Sprawdzono ponad rok temu

Ashwani-Kumar S. · Sprawdzono ponad rok temu

Thanks

Dorjzodovsuren B. · Sprawdzono ponad rok temu

Nattaput K. · Sprawdzono ponad rok temu

Aamar H. · Sprawdzono ponad rok temu

จิตรภาณุ ช. · Sprawdzono ponad rok temu

Scott W. · Sprawdzono ponad rok temu

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1.

wade a. · Sprawdzono ponad rok temu

unusable - can't get gke pipeline endpoint from ai platform

Sebastiano D. · Sprawdzono ponad rok temu