Implement Fused Operations for QKV Transformations

Implement a PyTorch module that performs the fused QKV multi-head attention. The module should perform linear transformations for Q, K, and V, and then perform a fused operation to compute the attention weights and values.

Constraints

• The function must be implemented in a way that minimizes the number of operations and memory usage.
• The function should handle cases with multiple heads.
• The function should be able to process batches of embeddings efficiently.

Examples

{
  "input": "the same as basic multi-head attention",
  "output": "the same as basic multi-head attention"
}