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Java bindings for TensorFlow

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In the TF1.x use the "org.tensorflow.Tensor#create(java.lang.Object)" can conveniently construct various types. Which method in TF2 is equivalent to org.tensorflow.Tensor#create(java.lang.Object) in TF1?

**System information** - TensorFlow version : 0.4.0 - Are you willing to contribute it (Yes/No): Yes **Describe the feature and the current behavior/state.** I would like to have access to...

**System information** - Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes - OS Platform and Distribution (e.g., Linux Ubuntu 16.04 x86\_64):...

How to add Regularizer and Constraint effect correctly to a weight/bias variable or activity? THANKS FOR HELP

Please make sure that this is a documentation issue. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:doc_template **System...

Minor issue, but ideally the native artifacts (JAR) should be pulling in any dependencies into the project, only the non-native JAR (i.e. with a classifier) should do. ![image (9)](https://github.com/tensorflow/java/assets/10109534/4b187457-a87e-43ce-92b5-5a4caa306ff7)

This is mostly a reminder for myself, but also documentation if someone else ends up doing it. After reading through the python code (see [here](https://github.com/tensorflow/tensorflow/blob/4070c43dc9de169308741ad8c3b6c50e8471456a/tensorflow/python/eager/def_function.py#L710-L710)), I found that to force...

Please make sure that this is a feature request. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:feature_template **System...

Like some others I am in need to get Tensorflow-java running on an M1 based machine, certainly now that Apple has released a Tensorflow distribution for M1 [I know there...

Naturally when using DataBuffer.read(sth), should expect it to read from sth into the buffer, and vice versa. But the API of DataBuffer is now just the opposite