Tapas tf (#13393)

* TF Tapas first commit

* updated docs

* updated logger message

* updated pytorch weight conversion
script to support scalar array

* added use_cache to tapas model config to
work properly with tf input_processing

* 1. rm embeddings_sum
2. added # Copied
3. + TFTapasMLMHead
4. and lot other small fixes

* updated docs

* + test for tapas

* updated testing_utils to check
is_tensorflow_probability_available

* converted model logits post processing using
numpy to work with both PT and TF models

* + TFAutoModelForTableQuestionAnswering

* added TF support

* added test for
TFAutoModelForTableQuestionAnswering

* added test for
TFAutoModelForTableQuestionAnswering pipeline

* updated auto model docs

* fixed typo in import

* added tensorflow_probability to run tests

* updated MLM head

* updated tapas.rst with TF  model docs

* fixed optimizer import in docs

* updated convert to np
data from pt model is not
`transformers.tokenization_utils_base.BatchEncoding`
after pipeline upgrade

* updated pipeline:
1. with torch.no_gard removed, pipeline forward handles
2. token_type_ids converted to numpy

* updated docs.

* removed `use_cache` from config

* removed floats_tensor

* updated code comment

* updated Copyright Year and
logits_aggregation Optional

* updated docs and comments

* updated docstring

* fixed model weight loading

* make fixup

* fix indentation

* added tf slow pipeline test

* pip upgrade

* upgrade python to 3.7

* removed from_pt from tests

* revert commit f18cfa9

src/transformers/testing_utils.py

@@ -44,6 +44,7 @@ from .file_utils import (
     is_scatter_available,
     is_sentencepiece_available,
     is_soundfile_availble,
+    is_tensorflow_probability_available,
     is_tf_available,
     is_timm_available,
     is_tokenizers_available,
@@ -292,6 +293,19 @@ def require_torch_scatter(test_case):
         return test_case
 
 
+def require_tensorflow_probability(test_case):
+    """
+    Decorator marking a test that requires TensorFlow probability.
+
+    These tests are skipped when TensorFlow probability isn't installed.
+
+    """
+    if not is_tensorflow_probability_available():
+        return unittest.skip("test requires TensorFlow probability")(test_case)
+    else:
+        return test_case
+
+
 def require_torchaudio(test_case):
     """
     Decorator marking a test that requires torchaudio. These tests are skipped when torchaudio isn't installed.