LSTMCell/Sequence v1, reference implementations and decompose transformations for LSTM/GRU/RNN Cells (#2000)

* validate_and_infer_types() implementation

* input parameter validation for LSTM, GRU and RNN

* style-check applied

* Add LSTMSequence dynamic shape validation and test props for RNNCell, GRUCell, LSTMCell and LSTMSequence.

* recurrent_sequence.hpp moved to ngraph/core/include/ngraph/op/util/

* style check applied

* removed unused variable from LSTMSequence::validate_and_infer_types

* Add missing newline mark at the end of file.

* Add supression macro for FusedOp deprecation.

* Add element type initialization

* transpose,rnn cell reference implementations

* Apply PR review remarks

* reference implementations for cells op, single layer tests, align lstm cell/sequence according to the spec

* lstm/gru/rnn cell decompostion transformations

* ngraph codestyle

* clean up

* ngraph code style

* change inheritance of Cells, fix build

* fix build

* fix build again

* remove Peepholes from LSTMSeq, fix copy_runtime_info in transformations

* Rewrite tests to use gtest exception assertions.

* resolve tests issues

* ngraph codestyle

* add missed files

* fix typeprop tests

* fix lstm sequence checks

* fix arm build

* fix arm again

* delete unnecessary file

* add convert weghts format function, enable lstm test, resolve review comments

* add ngraph builders

* ngraph codestyle

* fix unit tests

* revert transpose reference implementation

* revert LSTM Cell v0, add LSTMCell v1, update transformation lstm_cell_to_cell_ie

* v1 version of LSTMCell op

* LSTMSequence v1 operation, exclude LSTMSeq from opset4

* fix python api tests

* resolve review comments, tests for decomposition transformations, switch lstm cell to opset4 in mo

Co-authored-by: Szymon Durawa <szymon.durawa@intel.com>

model-optimizer/extensions/ops/lstm_cell.py

@@ -42,7 +42,7 @@ class LSTMCell(Op):
         mandatory_props = {
             'type': __class__.op,
             'op': __class__.op,
-            'version': 'opset1',
+            'version': 'opset4',
             'infer': __class__.infer,
             'in_ports_count': 5,
             'out_ports_count': 2,