[TF FE] Support TF1 While Control flow (#20105)

* [TF FE] Support TF1 While Control flow

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>

* Apply code-style fix

* Update API for OpPlace to store back edge

* Fix build: no rvalue by reference passing

* Fix build issue: correct type

* Fix TF FE unit-tests

* Apply code-review feedback: remove unused vars

* Fix fusing complicated case of TF1 While

* Remove unused variable

* Update MO unit test

* Fix layer tests for While

* Handle Switch and NextIteration nodes connected directly

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>

---------

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>

tools/mo/openvino/tools/mo/convert_impl.py

@@ -312,9 +312,8 @@ def update_fallback_with_conversion_error(use_new_frontend: bool, is_tf: bool, e
     conversion_error_re = r"^(\[TensorFlow\ Frontend\]\ Internal\ error\,\ no\ translator\ found\ for\ operation\(s\)\:\ )((\w+)(\,\ \w+)*)$"
     conversion_error_match = re.findall(conversion_error_re, ex_msg, re.MULTILINE)
     all_fallback_operations = [
-        # corresponds to TF1 While operation
+        # corresponds to TF1 TensorList operation
         "TensorArrayScatterV3", "TensorArrayV3", "TensorArraySizeV3", "TensorArrayGatherV3",
-        "LoopCond", "Enter", "NextIteration", "Exit",
         # corresponds to operations with complex tensors
         "FFT", "FFT2D", "FFT3D", "IFFT", "IFFT2D", "IFFT3D",
         "RFFT", "RFFT2D", "RFFT3D", "IRFFT", "IRFFT2D", "IRFFT3D",

tools/mo/unit_tests/moc_tf_fe/conversion_basic_models_test.py

@@ -243,8 +243,7 @@ class TestMoFreezePlaceholderTFFE(unittest.TestCase):
     def test_conversion_failure_fallback_use_new_frontend(self):
         with self.assertRaisesRegex(Exception,
                                     "\[TensorFlow Frontend\] Internal error, no translator found for operation\(s\)\: "
-                                    "Enter\, Exit\, LoopCond\, Merge\, NextIteration\, Switch\, TensorArrayGatherV3\, "
-                                    "TensorArraySizeV3\, TensorArrayV3"):
+                                    "TensorArrayGatherV3\, TensorArrayReadV3\, TensorArraySizeV3\, TensorArrayV3\, TensorArrayWriteV3"):
             self.basic("ctc_model_based.pbtxt", None, None, None, None,
                        None, None, True, True, True, False)