2.16.1 libtensorflow binary
CC: @MichaelHudgins @Venkat6871 @learning-to-play 

Is this because the libternsorflow build jobs have been discontinued? Additionally, the [libtensorflow nightly archive](https://storage.googleapis.com/libtensorflow-nightly?prefix=latest/libtensorflow-cpu-) also has not been updated for about sixty days.  And a bit longer for the [protos archive](https://storage.googleapis.com/libtensorflow-nightly?prefix=latest/libtensorflow_proto) and a few other artifacts These ones have not been discontinued at this time, it looks like an issue with some internal modifications not moving the built artifacts from a staging location to the previously expected final gcs bucket.  Until documentation is corrected you can find it at 
https://storage.googleapis.com/tensorflow/versions/2.16.1/libtensorflow-gpu-linux-x86_64.tar.gz
https://storage.googleapis.com/tensorflow/versions/2.16.1/libtensorflow-cpu-linux-x86_64.tar.gz Hi **@yutkin** ,
TensorFlow 2.16.1 introduced a new installation method for Linux that allows installing the necessary NVIDIA CUDA libraries through pip. This means you can use pip install tensorflow[gpu] (assuming you have the NVIDIA driver already installed) to get TensorFlow with GPU support, even if there's no separate libtensorflow binary.

Thank you! Hi @Venkat6871 , this is not an issue with a pip installation but rather one from the libtensorflow libraries not being in the expected locaiton.  @MichaelHudgins , I can't find the Windows libtensorflow under the new location, I've tried this, anything it wrong with that URL?

[https://storage.googleapis.com/tensorflow/versions/2.16.1/libtensorflow-cpu-windows-x86_64-2.16.1.zip](https://storage.googleapis.com/tensorflow/versions/2.16.1/libtensorflow-cpu-windows-x86_64-2.16.1.zip)

Can't find it in the previous location neither, last one is 2.15.0 List the content of the bucket, looks like Windows is nowhere to be seen. Has the libtensorflow build for Windows been deprecated? (hopefully not...)
```
gcloud storage ls gs://tensorflow/versions/2.16.1
gs://tensorflow/versions/2.16.1/libtensorflow-cpu-darwin-arm64.tar.gz
gs://tensorflow/versions/2.16.1/libtensorflow-cpu-darwin-x86_64.tar.gz
gs://tensorflow/versions/2.16.1/libtensorflow-cpu-linux-x86_64.tar.gz
gs://tensorflow/versions/2.16.1/libtensorflow-gpu-linux-x86_64.tar.gz
gs://tensorflow/versions/2.16.1/libtensorflow_jni-cpu-darwin-arm64.tar.gz
gs://tensorflow/versions/2.16.1/libtensorflow_jni-cpu-darwin-x86_64.tar.gz
gs://tensorflow/versions/2.16.1/libtensorflow_jni-cpu-linux-x86_64.tar.gz
gs://tensorflow/versions/2.16.1/libtensorflow_jni-gpu-linux-x86_64.tar.gz
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp310-cp310-macosx_10_15_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp310-cp310-macosx_12_0_arm64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp311-cp311-macosx_10_15_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp311-cp311-macosx_12_0_arm64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp312-cp312-macosx_10_15_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp312-cp312-macosx_12_0_arm64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp39-cp39-macosx_10_15_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp39-cp39-macosx_12_0_arm64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
gs://tensorflow/versions/2.16.1/tensorflow-2.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow_cpu-2.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow_cpu-2.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow_cpu-2.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow_cpu-2.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow_tpu-2.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow_tpu-2.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow_tpu-2.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
gs://tensorflow/versions/2.16.1/tensorflow_tpu-2.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
``` This is blocking the TensorFlow Rust release. > This is blocking the TensorFlow Rust release.

Same for TensorFlow Java Thanks for creating this issue. It looks like the Windows CI build uploaded to the incorrect location. I have moved it to be under `gs://tensorflow/versions/2.16.1`. 

https://storage.googleapis.com/tensorflow/versions/2.16.1/libtensorflow-cpu-windows-x86_64.zip
https://storage.googleapis.com/tensorflow/versions/2.16.1/libtensorflow_jni-cpu-windows-x86_64.zip @nitins17 what about the GPU version? Thanks

EDIT: I've just acknowledged that that must be a conscious decision to drop the support for GPU on Windows without relying on the Linux subsystem... such a bummer; I needed the DLL with GPU support as a dependency of another software.
My only option at this point is downgrading the CUDA version. When is this expected to be resolved? > When is this expected to be resolved?

My conservative guess would be by end of next week. The change to update the links on the website is in progress internally, just waiting on the final approval.  > > When is this expected to be resolved?
> 
> My conservative guess would be by end of next week. The change to update the links on the website is in progress internally, just waiting on the final approval.

Hi! Are there any updates?  Hmm, the [commit has been merged](https://github.com/tensorflow/docs/commit/29fd0f4fe59582b65ec33102385189ea3a9ba9c5) but I'm not sure why it does not show up on the website. @MarkDaoust would you know?

@yutkin In the meantime, you can use the preview in https://github.com/tensorflow/docs/blob/master/site/en/install/lang_c.ipynb to get the links to the latest archives.  The docs still point to the 2.15 version.
### Issue type

Support

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

binary

### TensorFlow version

2.16.1

### Custom code

No

### OS platform and distribution

Linux

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

Yes

### Current behavior?

Hi! 

Tensorflow 2.16.1 has been [released](https://github.com/tensorflow/tensorflow/releases/tag/v2.16.1) recently. However, the latest archive with the `libtensorflow` on the official website [is still 2.15](https://www.tensorflow.org/install/lang_c). Where can I get the latest 2.16.1 `libtensorflow` with GPU support for Linux?

### Standalone code to reproduce the issue

```shell
-
```


### Relevant log output

_No response_