[DEPRECATED] TFX on Cloud AI Platform Pipelines Reviews

Progress not checked even though all tasks successfully completed

Yasmine M. · Reviewed over 2 years ago

Gilles K. · Reviewed over 2 years ago

Rana B. · Reviewed over 2 years ago

IRFAN ULLAH K. · Reviewed over 2 years ago

Dat N. · Reviewed over 2 years ago

Dat N. · Reviewed over 2 years ago

CLINTAN CYRIL A. · Reviewed over 2 years ago

Dat N. · Reviewed over 2 years ago

greatfull

Fermin H. · Reviewed over 2 years ago

Completed tasks 4 and 5 but cannot trigger a successful result from the "Check my progress" button

Hans F. · Reviewed over 2 years ago

greatfull

Fermin H. · Reviewed over 2 years ago

Rana B. · Reviewed over 2 years ago

too long.. and hung

Sambasivam S. · Reviewed over 2 years ago

There is an error in step 5. I receive a successful message: 'Please access the pipeline detail page at http://5ee65fd8e995506b-dot-us-east1.pipelines.googleusercontent.com/#/pipelines/details/9c167397-3094-4360-92f5-a118782868f4 Pipeline "tfx_covertype_continuous_training222" created successfully.' and can see the pipeline in deployed AI Platform, but the lab wont confirm.

Chris T. · Reviewed over 2 years ago

not enough resources in united-states-a and no way to try others. Once started deploy fails after status running (deployment?). Not very clearly explained. No regrets for its deprecation

Giovanni M. · Reviewed over 2 years ago

Khalid D. · Reviewed over 2 years ago

Khalid D. · Reviewed over 2 years ago

Hans F. · Reviewed over 2 years ago

Dmytro T. · Reviewed over 2 years ago

SK F. · Reviewed over 2 years ago

Rana B. · Reviewed over 2 years ago

Not able to pass even after deploying tfx pipeline

Tuhin D. · Reviewed over 2 years ago

Hans F. · Reviewed over 2 years ago

This time it was better but I still got an error in the end stages when I was actually creating a pipeline run. Error message was this one on the TRAINER part of the model 2023-10-04 15:50:06.586202: 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 ...

Niall B. · Reviewed over 2 years ago