Transformer Model Debugging

Given an issue in a multi-head attention mechanism, find and fix errors in the Transformer model. The model uses multi-head self-attention and feed-forward neural network modules. Errors may occur in linear transformations, attention score computation, position encoding, etc. Specific requirements are as follows: Provide the damaged multi-head self-attention mechanism code snippet. Describe the cause of the problem and its effect. Write Python code to fix the error so the model can function correctly. Input: None. Output: Corrected Transformer model. Example: None.