ttnn implementation for Swin_S model

[saichandax]

reference model is from: https://github.com/pytorch/vision/blob/main/torchvision/models/swin_transformer.py

[HariniMohan0102]

To implement Swin_s transformer model, model is segregated into submodules where each module is dependent on the other. The sequence of submodules are

1. ShiftedWindowAttention
2. SwinTransformerBlock
3. PatchMerging
4. SwinTransformer

Currently working on ShiftedWindowAttention submodule.
Task Updates regarding ShiftedWindowAttention:

• Reference implementation completed.
• Compared reference with torch, PCC=1.0
• ttnn implementation is in progress.
• Submodule to be tested further.

For your reference, added torch and referenc graphs of ShiftedWindowAttention submodule.
Torch graph:

Reference graph: