Move TF building to an actual build() method (#23760)

* A fun new PR where I break the entire codebase again

* A fun new PR where I break the entire codebase again

* Handle cross-attention

* Move calls to model(model.dummy_inputs) to the new build() method

* Seeing what fails with the build context thing

* make fix-copies

* Let's see what fails with new build methods

* Fix the pytorch crossload build calls

* Fix the overridden build methods in vision_text_dual_encoder

* Make sure all our build methods set self.built or call super().build(), which also sets it

* make fix-copies

* Remove finished TODO

* Tentatively remove unneeded (?) line

* Transpose b in deberta correctly and remove unused threading local

* Get rid of build_with_dummies and all it stands for

* Rollback some changes to TF-PT crossloading

* Correctly call super().build()

tests/models/bart/test_modeling_tf_bart.py

@@ -328,7 +328,7 @@ class TFBartModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, PipelineTester
             old_total_size = config.vocab_size
             new_total_size = old_total_size + new_tokens_size
             model = model_class(config=copy.deepcopy(config))  # `resize_token_embeddings` mutates `config`
-            model(model.dummy_inputs)  # builds the embeddings layer
+            model.build()
             model.resize_token_embeddings(new_total_size)
 
             # fetch the output for an input exclusively made of new members of the vocabulary