关于“TFX on Cloud AI Platform Pipelines”的评价

Claire T. · 评论about 1 year之前

dont work

HANIF NOER R. · 评论about 1 year之前

Claire T. · 评论about 1 year之前

Ika N. · 评论about 1 year之前

Ika N. · 评论about 1 year之前

Claire T. · 评论about 1 year之前

Rahmad R. · 评论about 1 year之前

Rahmad R. · 评论about 1 year之前

Rahmad R. · 评论about 1 year之前

old code, no longer works, AI Platform as a service is deprecated

Jason B. · 评论about 1 year之前

Oliver B. · 评论about 1 year之前

Glen Maxie T. · 评论about 1 year之前

Improper version and errors

Kevin C. · 评论about 1 year之前

Ashish V. · 评论about 1 year之前

Worst Lab

Bhargavi K. · 评论about 1 year之前

The lab is not working...Receive this error: 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-fe6f3e3b1fd7/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 "/opt/conda/bin/tfx", line 10, 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 13 Sep try from ML also failed: 2024-09-13 04:50:57.485179: 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 ...

Wiehan W. · 评论about 1 year之前

Abdullah P. · 评论about 1 year之前

Bhargavi K. · 评论about 1 year之前

Took to long deploy kubeflow! Cuda error 10.1. please fix workflow!

Mohammad Farid H. · 评论about 1 year之前

Bhargavi K. · 评论about 1 year之前

Vishnu P. · 评论about 1 year之前

Took to long deploy kubeflow!

Mohammad Farid H. · 评论about 1 year之前

mas r. · 评论about 1 year之前

Sheng Han L. · 评论about 1 year之前

Laxmi Narasimha Hari Y. · 评论about 1 year之前