code: def forward(ctx, Q, cos, sin, position_ids):
      if position_ids is not None:
          # The first two dimensions of cos and sin are always 1, so we can `squeeze` them.
          cos = cos.squeeze(1).squeeze(0)  # [seq_len, dim]
          sin = sin.squeeze(1).squeeze(0)  # [seq_len, dim]
          cos = cos[position_ids].unsqueeze(1)  # [bs, 1, seq_len, dim]
          sin = sin[position_ids].unsqueeze(1)  # [bs, 1, seq_len, dim]
  
      # Q * cos + rotate_half(Q) * sin
      half = Q.shape[-1] // 2
      RH_Q = torch.cat((-Q[..., half:], Q[..., :half]), dim=-1)
      Q *= cos
      RH_Q *= sin
      Q += RH_Q
      ctx.save_for_backward(cos, sin)
      return Q
  
file_path: unsloth/unsloth/kernels/rope_embedding.py
imports: import triton
  import triton.language
  import torch
  from .utils import calculate_settings
label_desc: Use image node_id 1 for calling the Slow_RoPE_Embedding obj's underlying member method code with example usage: obj.forward(ctx, Q, cos, sin, position_ids) and returns: Q