[DEPRECATED] TFX on Cloud AI Platform Pipelines Reviews
4231 reviews
Ayaj P. · Reviewed over 3 years ago
The last run failed for some reason after waiting about 60 minutes
Osman A. · Reviewed over 3 years ago
Luke G. · Reviewed over 3 years ago
Osman A. · Reviewed over 3 years ago
I HATE THIS COURSE: Could not load dynamic library 'libcudart.so.10.1
Diego M. · Reviewed over 3 years ago
2022-09-29 13:58:16.113932: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lo
malek b. · Reviewed over 3 years ago
Ashwinchandra B. · Reviewed over 3 years ago
anil kumar m. · Reviewed over 3 years ago
Juan C. · Reviewed over 3 years ago
Cornelius M. · Reviewed over 3 years ago
Lots of problems. 1st I had to create notebook env and do install. This took longer than an hour. After racing through notebook, the final step fails. I re-ran the runs multiple times, and the pipeline keeps failing. If it takes 50 mins, this is silly to keep trying, when the pipeline can fail at 10 mins, 30 mins and so on. Just not enough time. FAILED Access AI Platform Notebooks Keeps switching to Vertex AI. Notebook does not appear after 10 mins. Started building Notebook, an hour with install still working. NO OPTION FOR Check the box Use emissary executor (Alpha) WAITED 10 Mins, no notebook showed You should see tfx-on-googlecloud notebook preprovisioned for you. If not, wait a few minutes and refresh the page. Second attempt notebook appeared. Copying solution I get too many errors to continue. n~=3.5.0->ipywidgets<8,>=7->tensorflow-model-analysis<0.26,>=0.25->tfx==0.25.0->-r requirements.txt (line 2)) (0.5.1) % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 63.1M 100 63.1M 0 0 125M 0 --:--:-- --:--:-- --:--:-- 125M Config option `kernel_spec_manager_class` not recognized by `EnableNBExtensionApp`. 404 Client Error: Not Found for url: http://metadata/computeMetadata/v1/instance/attributes/use-collaborative CLI Creating pipeline Detected Kubeflow. Use --engine flag if you intend to use a different orchestrator. Reading build spec from build.yaml Target image gcr.io/qwiklabs-gcp-01-e23c1e857fda/tfx_covertype_continuous_training is not used. If the build spec is provided, update the target image in the build spec file build.yaml. No executable skaffold please refer to https://github.com/GoogleContainerTools/skaffold/releases for installation instructions. No container image is built. 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. During handling of the above exception, another exception occurred: This step is in Failed state with this message: Error (exit code 1) Sorry, the server was not able to fulfill your request. Status Name Zone Version Task 2 failed to show notebook. Tried again, same problem. Last step keeps failing.
Lorne L. · Reviewed over 3 years ago
Alberto C. · Reviewed over 3 years ago
Lots of problems. 1st I had to create notebook env and do install. This took longer than an hour. After racing through notebook, the final step fails. I re-ran the runs multiple times, and the pipeline keeps failing. If it takes 50 mins, this is silly to keep trying, when the pipeline can fail at 10 mins, 30 mins and so on. Just not enough time. FAILED Access AI Platform Notebooks Keeps switching to Vertex AI. Notebook does not appear after 10 mins. Started building Notebook, an hour with install still working. NO OPTION FOR Check the box Use emissary executor (Alpha) WAITED 10 Mins, no notebook showed You should see tfx-on-googlecloud notebook preprovisioned for you. If not, wait a few minutes and refresh the page. Second attempt notebook appeared. Copying solution I get too many errors to continue. n~=3.5.0->ipywidgets<8,>=7->tensorflow-model-analysis<0.26,>=0.25->tfx==0.25.0->-r requirements.txt (line 2)) (0.5.1) % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 63.1M 100 63.1M 0 0 125M 0 --:--:-- --:--:-- --:--:-- 125M Config option `kernel_spec_manager_class` not recognized by `EnableNBExtensionApp`. 404 Client Error: Not Found for url: http://metadata/computeMetadata/v1/instance/attributes/use-collaborative CLI Creating pipeline Detected Kubeflow. Use --engine flag if you intend to use a different orchestrator. Reading build spec from build.yaml Target image gcr.io/qwiklabs-gcp-01-e23c1e857fda/tfx_covertype_continuous_training is not used. If the build spec is provided, update the target image in the build spec file build.yaml. No executable skaffold please refer to https://github.com/GoogleContainerTools/skaffold/releases for installation instructions. No container image is built. 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. During handling of the above exception, another exception occurred: This step is in Failed state with this message: Error (exit code 1) Sorry, the server was not able to fulfill your request. Status Name Zone Version Task 2 failed to show notebook. Tried again, same problem. Last step keeps failing.
Lorne L. · Reviewed over 3 years ago
Erik P. · Reviewed over 3 years ago
Stephen H. · Reviewed over 3 years ago
shahin a. · Reviewed over 3 years ago
shahin a. · Reviewed over 3 years ago
Nishant S. · Reviewed over 3 years ago
Abhay D. · Reviewed over 3 years ago
Igor Q. · Reviewed over 3 years ago
worst lab ever , i have run every code but at last code is not running . worst lab ever
Bhaskar k. · Reviewed over 3 years ago
tried 2nd time, unable to create the AI cluster, take 20mins never finish.
Chen m. · Reviewed over 3 years ago
Lots of problems. 1st I had to create notebook env and do install. This took longer than an hour. After racing through notebook, the final step fails. I re-ran the runs multiple times, and the pipeline keeps failing. If it takes 50 mins, this is silly to keep trying, when the pipeline can fail at 10 mins, 30 mins and so on. Just not enough time. FAILED Access AI Platform Notebooks Keeps switching to Vertex AI. Notebook does not appear after 10 mins. Started building Notebook, an hour with install still working. NO OPTION FOR Check the box Use emissary executor (Alpha) WAITED 10 Mins, no notebook showed You should see tfx-on-googlecloud notebook preprovisioned for you. If not, wait a few minutes and refresh the page. Second attempt notebook appeared. Copying solution I get too many errors to continue. n~=3.5.0->ipywidgets<8,>=7->tensorflow-model-analysis<0.26,>=0.25->tfx==0.25.0->-r requirements.txt (line 2)) (0.5.1) % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 63.1M 100 63.1M 0 0 125M 0 --:--:-- --:--:-- --:--:-- 125M Config option `kernel_spec_manager_class` not recognized by `EnableNBExtensionApp`. 404 Client Error: Not Found for url: http://metadata/computeMetadata/v1/instance/attributes/use-collaborative CLI Creating pipeline Detected Kubeflow. Use --engine flag if you intend to use a different orchestrator. Reading build spec from build.yaml Target image gcr.io/qwiklabs-gcp-01-e23c1e857fda/tfx_covertype_continuous_training is not used. If the build spec is provided, update the target image in the build spec file build.yaml. No executable skaffold please refer to https://github.com/GoogleContainerTools/skaffold/releases for installation instructions. No container image is built. 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. During handling of the above exception, another exception occurred: This step is in Failed state with this message: Error (exit code 1) Sorry, the server was not able to fulfill your request. Status Name Zone Version Task 2 failed to show notebook. Tried again, same problem.
Lorne L. · Reviewed over 3 years ago
Lots of problems. 1st I had to create notebook env and do install. This took longer than an hour. After racing through notebook, the final step fails. I re-ran the runs multiple times, and the pipeline keeps failing. If it takes 50 mins, this is silly to keep trying, when the pipeline can fail at 10 mins, 30 mins and so on. Just not enough time. FAILED Access AI Platform Notebooks Keeps switching to Vertex AI. Notebook does not appear after 10 mins. Started building Notebook, an hour with install still working. NO OPTION FOR Check the box Use emissary executor (Alpha) WAITED 10 Mins, no notebook showed You should see tfx-on-googlecloud notebook preprovisioned for you. If not, wait a few minutes and refresh the page. Second attempt notebook appeared. Copying solution I get too many errors to continue. n~=3.5.0->ipywidgets<8,>=7->tensorflow-model-analysis<0.26,>=0.25->tfx==0.25.0->-r requirements.txt (line 2)) (0.5.1) % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 63.1M 100 63.1M 0 0 125M 0 --:--:-- --:--:-- --:--:-- 125M Config option `kernel_spec_manager_class` not recognized by `EnableNBExtensionApp`. 404 Client Error: Not Found for url: http://metadata/computeMetadata/v1/instance/attributes/use-collaborative CLI Creating pipeline Detected Kubeflow. Use --engine flag if you intend to use a different orchestrator. Reading build spec from build.yaml Target image gcr.io/qwiklabs-gcp-01-e23c1e857fda/tfx_covertype_continuous_training is not used. If the build spec is provided, update the target image in the build spec file build.yaml. No executable skaffold please refer to https://github.com/GoogleContainerTools/skaffold/releases for installation instructions. No container image is built. 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. During handling of the above exception, another exception occurred: This step is in Failed state with this message: Error (exit code 1) Sorry, the server was not able to fulfill your request. Status Name Zone Version Task 2 failed to show notebook. Tried again, same problem.
Lorne L. · Reviewed over 3 years ago
Sokil, J. · Reviewed over 3 years ago
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