[DEPRECATED] TFX on Cloud AI Platform Pipelines Ulasan

4231 ulasan

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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. · Diulas hampir 2 tahun lalu

Asher C. · Diulas hampir 2 tahun lalu

Sathit P. · Diulas hampir 2 tahun lalu

Luis Fernando . · Diulas hampir 2 tahun lalu

Krishnan R. · Diulas hampir 2 tahun lalu

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Diulas hampir 2 tahun lalu

Problem in the workbench based task

Darshan B. · Diulas hampir 2 tahun lalu

Mario H. · Diulas hampir 2 tahun lalu

Bowon P. · Diulas hampir 2 tahun lalu

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. · Diulas hampir 2 tahun lalu

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. · Diulas hampir 2 tahun lalu

cluster would not deploy successfully

Dylan B. · Diulas hampir 2 tahun lalu

Ashwani-Kumar S. · Diulas hampir 2 tahun lalu

Thanks

Dorjzodovsuren B. · Diulas hampir 2 tahun lalu

Nattaput K. · Diulas hampir 2 tahun lalu

Aamar H. · Diulas hampir 2 tahun lalu

จิตรภาณุ ช. · Diulas hampir 2 tahun lalu

Scott W. · Diulas hampir 2 tahun lalu

Scott W. · Diulas hampir 2 tahun lalu

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. · Diulas hampir 2 tahun lalu

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

Sebastiano D. · Diulas hampir 2 tahun lalu

SAISEN U. · Diulas hampir 2 tahun lalu

tfx-on-googlecloud workbook wasn't created correctly by the lab. Had to restart in order for it to be created.

John H. · Diulas hampir 2 tahun lalu

Prafful K. · Diulas hampir 2 tahun lalu

Beny A. · Diulas hampir 2 tahun lalu

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