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Official 0.3.0 release with TensorFlow 2.4.1 support #230
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Hi @maziyarpanahi ,
The code base for 0.3.0, that includes support for TF 2.4.1, is indeed ready (or almost ready) to be released. But we are having issues with our build system right now (mostly hosted on GitHub Actions), preventing us to produce the artifacts for that release.
We are actively working to solve definitely this issue, since the stability of our build platforms has always been one of our greatest challenge. We'll keep you in touch, thank you for your patience!
CC\ @joanafilipa
Reacted by Maziyar PanahiReacted by Maziyar PanahiHi @karllessard
Thanks for your quick response, I appreciate it.
I'll watch this issue for any new developments and wish you guys the best of luck.
I attempted to use the 0.3.0 version on top of 0.2.0 project and there are a lot of API changes. The readme in Master does not refer to this. Is there a migration guide?
Yes please please please make a release, we're really waiting for it since November (#138)
Well, good news! We did good progress to fix our various build issues and should be able to make a release soon, I'll provide more details later, probably today.
I attempted to use the 0.3.0 version on top of 0.2.0 project and there are a lot of API changes. The readme in Master does not refer to this. Is there a migration guide?
The only breaking change that I'm aware of is that
Tensorclass is no longer parameterized and nowTensor<TFloat32>can be simply replaced byTFloat32, as an example. It does make sense though to guide our users to understand what this change means and how to migrate easily between both versions, I'll make sure to write such instructions before releasing, thank you @nebulorumReacted by Till Brychcy, Maziyar Panahi and Thomas SantanaSo after discussing with the SIG, I’m planning to make a release of 0.3.0 from the actual snapshot by March 15th.
Only detail is that the Windows
-mkl-gpuplatform will be missing for that release since TF 2.4.1 does not seem to support that configuration natively. All other platforms will be available.@karllessard BTW, maybe we can now build for the same list of compute capabilities as the binaries on PyPI?
https://github.com/tensorflow/java/blob/master/tensorflow-core/tensorflow-core-api/build.sh#L23Reacted by Ryan NettWe can certainly give it a try, can you send me the list of capabilities or even better, make a PR for it so we'll see if the build passes? I'll apply the
CI Buildlabel to itSee #200. I think the official is
3.5, 5.0, 6.0, 7.0, 7.5, 8.0 and higher than 8.0, not sure how to specify8.0+. I was never able to find an exact build command anywhere. There was also a request to include 3.7 for K80, but that seems like it was supported by the official releases so maybe 3.5 covers it?I've just added the same capabilities than the official TF release, which includes all of the above. We don't build anymore for Cuda 10.1 though, @saudet is that right/ok?
Probably, I'm not aware of the core team ever supporting more than a single version of CUDA.
TensorFlow Java 0.3.0 has been officially released today, enjoy! ;)
A migration guide is also available.
Reacted by Till Brychcy, Maziyar Panahi and Thomas Santana
Please make sure that this is a feature request. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:feature_template
Hi,
We are migrating our library to use this native Java library for TensorFlow 2.x (thank you so much for the work you have done here so far!): JohnSnowLabs/spark-nlp#2324
We have some models from TF Hub which require SentencePiece (Universal Sentence Encoder for instance). I have successfully managed to migrate them to use
tensorflow-textvia loadLibrary. Unfortunately,tensorflow-textdoesn't support Windows below TensorFlow 2.4.1.I was wondering since the master is now using TensorFlow
2.4.1with the auto-build for0.3.0-SNAPSHOT, is there an ETA on when it will be released officially and move SNAPSHOT to0.4.0?System information
Describe the feature and the current behavior/state.
Current
0.2.0released on Maven is compatible with TensorFlow 2.3.1, however,tensorflow-textstarts supporting Windows from2.4.1: https://github.com/tensorflow/text/releases/tag/v2.4.1The issue with SentencePiece and tensorflow-text has been mentioned here a few times. I have successfully managed to load
tensorflow-textfor macOS and Linux, but I am very interested to see if the Windows support works in bothtensorflow-textand TensorFlow Java.Will this change the current api? How?
No
Who will benefit with this feature?
Any model on TF Hub that requires SentencePiece/tensorflow-text will be compatible with Windows machines.
Any Other info.