Comments (10)
@jeongukjae @singhniraj08 Hi, I raised a feature request with GCP support case for below context.
As you can see in r1.13.0/tfx/dependencies.py#L89, the google-cloud-aiplatform>=1.6.2,<1.18
constraint makes it difficult to utilize the latest features of aiplatform in TFX 1.13.0.
In TFX 1.14.0, this constraint is loosened to google-cloud-aiplatform>=1.6.2,<2
, but currently Vertex AI supports TFX versions up to 1.13.0.
I found this #6375 issue. As mentioned in the issue, there are conflicting version requirements for TFX and TF, so I think it can be solved together if TFX 1.14.0 is supported.
from tfx.
Updating google-cloud-* package constraints were planned to be done after TF 2.12 release but not sure why it couldn't make to TFX 1.13 release. I tried to checkout the 1.13 release in my local and bumped up the google-cloud-* package constraints but could install it because of dependency errors.
I guess you have to wait till TFX 1.14 support is introduced in Vertex AI to use the updated google-cloud packages. Or can you raise a feature request for TFX 1.14 SDK on Vertex AI side? Meanwhile I will try to check internally, if this is something which can be done on our end.
from tfx.
@singhniraj08 It looks like it's possible to loosen them, and I tested it. Successfully installed them, so I wrote the PR for this issue: #6384
Can you review it and consider the TFX 1.13.1 release with that?
from tfx.
@jeongukjae, Let me check internally if this can make a TFX 1.13.1 release. Thank you for the contributions.
from tfx.
Can you try to update TFX to 1.14.0 release? google-cloud-* package constraints have been updated to support updated package versions. Thank you!
from tfx.
@singhniraj08 Sadly, I'm using TFX with Vertex AI, so cannot update it. 1.13 release is the latest TFX version that Vertex AI supports.
https://cloud.google.com/vertex-ai/docs/supported-frameworks-list#supported-tfx-sdk
from tfx.
Sorry for my late response. But looks like the docsite itself is just outdated. Does the VAI genuinely not support TFX 1.14.0? I tried the tutorial, and looks like it works with the latest version TFX v1.14.0.
I appreciate if you confirm from your side again. If it is okay, then I will update the doc accordingly.
Thanks for your consideration.
from tfx.
@lego0901 I asked it to GCP Support Team. I heard they are going to support 1.14.0 officially soon and internal test is ongoing for now.
from tfx.
Sorry for my too-late response.. Just updating the branch does not impact to the SDK release or docker images, so I just recompiled and reuploaded the newly-built docker image (from v1.14.0) to the dockerhub with "latest" tag. (i.e., tensorflow/tfx:latest) Thank you.
from tfx.
Are you satisfied with the resolution of your issue?
Yes
No
from tfx.
Related Issues (20)
- tfx.components.Transform returns invalid results however outside of the tfx the results are correct. HOT 1
- TFX.components.transform id HOT 4
- Cannot submit a custom training job to a VAI Persistent Resource HOT 13
- BigQueryExampleGen failing in InteractiveContext on 1.14.0 HOT 7
- tfx pipeline compile --engine=vertex fails in 1.14.0 HOT 3
- TFX pipeline Local orchestrator documentation site contains several errors/exceptions HOT 8
- TFX 1.14 docker image pip broken HOT 11
- Allow List of Lists and SequenceExample in dict_to_example HOT 3
- 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 13
- 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
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tfx.