[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Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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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