Add TFData2VecVision for semantic segmentation (#17271)

* feat: initial implementation of data2vec segmentation model in TF.

* chore: minor corrections to make the segmenter work.

* chore: removed unncessary files.

* chore: add tests and other modifications.

* fix: loss computation for segmentation.

* chore: remove unused variable.

* chore: formatting.

* added a dummy adaptive pooling layer.

* removed unnecessary file.

* potentially add identifiers to layer names.

* fix: layer naming.

* chore: removed unnecessary print.

* Skipping unneeded test

* chore: add logging to debug tolerance.

* fix: segmentation tests for tfdata2vecvision

* chore: make style.

* fix: layer names, assertion to be resolved.

* Bumping test tolerance a bit

* chore: bump the tol in PT test.

Co-authored-by: matt <rocketknight1@gmail.com>

docs/source/en/model_doc/data2vec.mdx

@@ -42,7 +42,7 @@ Tips:
 
 
 This model was contributed by [edugp](https://huggingface.co/edugp) and [patrickvonplaten](https://huggingface.co/patrickvonplaten).
-[sayakpaul](https://github.com/sayakpaul) contributed Data2Vec for vision in TensorFlow.
+[sayakpaul](https://github.com/sayakpaul) and [Rocketknight1](https://github.com/Rocketknight1) contributed Data2Vec for vision in TensorFlow.
 
 The original code (for NLP and Speech) can be found [here](https://github.com/pytorch/fairseq/tree/main/examples/data2vec).
 The original code for vision can be found [here](https://github.com/facebookresearch/data2vec_vision/tree/main/beit).
@@ -145,3 +145,8 @@ The original code for vision can be found [here](https://github.com/facebookrese
 
 [[autodoc]] TFData2VecVisionForImageClassification
     - call
+
+## TFData2VecVisionForSemanticSegmentation
+
+[[autodoc]] TFData2VecVisionForSemanticSegmentation
+    - call