Comments (13)
Hi @orechick - We've been compiling/installing from source, and it works on Python 3. There is a commit that enables it in setup.py
. I think it's going to be supported and offered in the next version, 0.13.0
You'll need protoc
installed where you do this, and then I believe the command is pip install -e .[tfx]
from the root directory after a git checkout of this repo.
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when does 0.13 will be released?
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@Mageswaran1989 Maybe try a different Python version? Python 3.5 works for me well on Linux. If problem still persists, maybe forward this to Airflow community for better assistant?
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Thanks @MattMorgis for the detailed introduction!
Hi @orechick - tfx package is now Python3 compatible, however we decide to postpone releasing Python3 version on PyPi since there are some bugs to be fixed in our dependency libraries. The good news is we're very close and hope to release 0.13 (including a Python3 version) soon. In the meantime, you can try it out by installing from source. Please let us know for any problem!
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minor correction: we are awaiting Apache beam 2.12.0 to be released.
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TFX 0.13.0rc0 is alive now. Feel free to try it out and let us know for anything :)
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Apache beam 2.12.0 is out
https://github.com/apache/beam/releases
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Error
Traceback (most recent call last):
File "/home/mageswarand/.conda/envs/default/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/home/mageswarand/.conda/envs/default/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/mageswarand/.conda/envs/default/lib/python3.7/site-packages/pip/__main__.py", line 16, in <module>
from pip._internal import main as _main # isort:skip # noqa
File "/home/mageswarand/.conda/envs/default/lib/python3.7/site-packages/pip/_internal/__init__.py", line 4, in <module>
import locale
File "/home/mageswarand/.conda/envs/default/lib/python3.7/locale.py", line 16, in <module>
import re
File "/home/mageswarand/.conda/envs/default/lib/python3.7/re.py", line 143, in <module>
class RegexFlag(enum.IntFlag):
AttributeError: module 'enum' has no attribute 'IntFlag'
While following the workshop setup on Python 3.7.1 env, Airflow installation is having problem and solution is pip uninstall enum34
. Reference
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@thak123 Yep! We pushed 0.13.0rc0 last week which includes Python 3 support (3.5). Feel free to try it out :)
@Mageswaran1989 Currently we only have fully support for Python 3.5 with 0.13.0rc0. Btw, are you having problems on Mac?
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@ruoyu90 I use Ubuntu 18 and this particular issue comes while installing Airflow package, which I had faced in the past also.
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@ruoyu90 it is just that we are using python 3.7.1 version, and we are currently understanding the example :)
We are working on Image data set and was wondering is there any examples/materials that could help us to start with? 80
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FYI TFX 0.13 release is alive now with Python 3.5 support.
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Related Issues (20)
- TFX 1.14 docker image pip broken HOT 11
- Allow List of Lists and SequenceExample in dict_to_example HOT 3
- loosening google-cloud-* package constraints for TFX 1.13 HOT 10
- TFX1.14.0 causing Google Cloud Dataflow jobs to fail HOT 27
- Slow parquet to TFRecord using parquet_executor.Executor HOT 3
- StatisticsGen treats zeros as missing data after FileBasedExampleGen with parquet_executor HOT 1
- [Request] Update to Apache Beam 2.52.0, enable Beam 2.46.0 compatibility HOT 5
- How to pass airflow task configuration to one custom component? HOT 3
- Error executing pip install tfx in new conda environment with python 3.10 HOT 6
- installing tfx 1.13.0 by pip takes so much time HOT 5
- TFX trainer component running in Kubeflow fails although it was successful in the Interactive Context HOT 8
- TFX components in GCP does not display component logs in GCP Vertex AI HOT 17
- DataFlow Job in TFX pipeline fails after running for an hour HOT 6
- TFX component never completes even though Vertex AI custom job succeeds / fails HOT 8
- Upgrade Tensorflow version HOT 3
- documentations for driver class HOT 2
- Custom driver support for KubeflowV2DagRunner HOT 3
- Error when starting Evaluator component HOT 6
- TFX 1.15.0 Issues HOT 1
- R2Score Metric is incompatible with Evaluator Component HOT 2
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