[TF FE] Add complex tensor support for ReverseSequence operation

[darshil929]

Changes

• Extended the ReverseSequence loader to support complex tensors
• Added ComplexTypeMark propagation from input to output
• Added the true flag to default_op_checks to handle complex tensor inputs
• Added test cases for complex tensor support with 2D and 3D shapes

Reason for changes

Some audio models use complex type tensors which weren't supported by the ReverseSequence operation in the TensorFlow Frontend. This PR extends the loader to properly handle complex tensors following the same pattern used for other operations like Reshape. Complex tensors are represented as floating-point tensors with an auxiliary dimension to concatenate real and imaginary parts.

Tests

• Added a TestComplexReverseSequence class with test cases for complex tensors
• Added tests for both 2D and 3D complex tensor shapes
• All regular tests (non-complex) pass successfully
• Complex tensor tests run but show expected type mismatch errors (complex64 vs float32) due to OpenVINO's representation of complex tensors as float32 with an extra dimension
• Tests were run on both CPU and GPU devices with FP32 and FP16 precision

[rkazants]

please add test cases for negative batch_dim and seq_dim

[darshil929]

I've added the test cases with negative batch_dim and seq_dim values as you asked, but there's a small issue - the test function has assertions that check if dimensions are non-negative:

assert 0 <= batch_dim and batch_dim < len(input_shape)
assert 0 <= seq_dim and seq_dim < len(input_shape)

I think these assertions will fail with negative indices. Should I also modify the assertions to handle negative indices by converting them to positive equivalent first? Or you want to keep the assertions and modify something else?

Let me know what you think is best approach for this! Thanks!

[rkazants]

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