[DEPRECATED] TFX on Cloud AI Platform Pipelines Reviews
4231 reviews
Nikola K. · Reviewed over 4 years ago
Pratik D. · Reviewed over 4 years ago
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-01-23a0237332fe/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: Traceback (most recent call last): File "/home/jupyter/.local/bin/tfx", line 8, in <module> sys.exit(cli_group()) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 829, in __call__ return self.main(*args, **kwargs) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 610, in invoke return callback(*args, **kwargs) File "/home/jupyter/.local/lib/python3.7/site-packages/click/decorators.py", line 73, in new_func return ctx.invoke(f, obj, *args, **kwargs) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 610, in invoke return callback(*args, **kwargs) File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/commands/pipeline.py", line 117, in create_pipeline handler_factory.create_handler(ctx.flags_dict).create_pipeline() File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/handler/kubeflow_handler.py", line 75, in create_pipeline skaffold_cmd) File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/handler/kubeflow_handler.py", line 291, in _build_pipeline_image skaffold_cmd=skaffold_cmd).build() File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/builder.py", line 91, in build skaffold_cli = SkaffoldCli(cmd=self._skaffold_cmd) File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 46, in __init__ raise RuntimeError RuntimeError
Mohammad G. · Reviewed over 4 years ago
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-01-23a0237332fe/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: Traceback (most recent call last): File "/home/jupyter/.local/bin/tfx", line 8, in <module> sys.exit(cli_group()) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 829, in __call__ return self.main(*args, **kwargs) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 610, in invoke return callback(*args, **kwargs) File "/home/jupyter/.local/lib/python3.7/site-packages/click/decorators.py", line 73, in new_func return ctx.invoke(f, obj, *args, **kwargs) File "/home/jupyter/.local/lib/python3.7/site-packages/click/core.py", line 610, in invoke return callback(*args, **kwargs) File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/commands/pipeline.py", line 117, in create_pipeline handler_factory.create_handler(ctx.flags_dict).create_pipeline() File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/handler/kubeflow_handler.py", line 75, in create_pipeline skaffold_cmd) File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/handler/kubeflow_handler.py", line 291, in _build_pipeline_image skaffold_cmd=skaffold_cmd).build() File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/builder.py", line 91, in build skaffold_cli = SkaffoldCli(cmd=self._skaffold_cmd) File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 46, in __init__ raise RuntimeError RuntimeError
Mohammad G. · Reviewed over 4 years ago
I do not know exactly what I was doing. During the code execution there is several errors - eg. Could not load dynamic library 'libcudart.so.10.1';
bouron t. · Reviewed over 4 years ago
Kabilan E. · Reviewed over 4 years ago
ok
Imam S. · Reviewed over 4 years ago
MinhNhut N. · Reviewed over 4 years ago
Kabilan E. · Reviewed over 4 years ago
It does not work
Eduardo M. · Reviewed over 4 years ago
Subrata C. · Reviewed over 4 years ago
pipeline run error TFX on Cloud AI Platform Pipelines
Martin M. · Reviewed over 4 years ago
Maarten B. · Reviewed over 4 years ago
Kiran B. · Reviewed over 4 years ago
Pratik D. · Reviewed over 4 years ago
bugs with last task
Dmitrii F. · Reviewed over 4 years ago
Bruno V. · Reviewed over 4 years ago
Bruno V. · Reviewed over 4 years ago
Angelo M. · Reviewed over 4 years ago
Lab is broken : The creation of cluster-1 failed with 'Invalid argument (HTTP 400)'
Clément P. · Reviewed over 4 years ago
1
Thangarajan S. · Reviewed over 4 years ago
Pirapon S. · Reviewed over 4 years ago
Although the cluster -1 instance was created, the box to check the Create an instance of AI Platform pipelines did not work.
christopher J. · Reviewed over 4 years ago
Nicolas C. · Reviewed over 4 years ago
Rafael O. · Reviewed over 4 years ago
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