What does the error Tensor shape mismatch during attention calculation mean and how can I fix it

Question

With the help of proper code example can you tell me What does the error Tensor shape mismatch during attention calculation mean, and how can I fix it?

Answer 1

The error "Tensor shape mismatch during attention calculation" occurs when the input tensors to the attention mechanism (e.g., queries, keys, or values) have incompatible shapes, such as mismatched batch dimensions or feature dimensions. Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Shape Consistency: Ensure the query, key, and value tensors have matching sequence lengths and feature dimensions.
• Attention Parameters: The embed_dim in MultiheadAttention should match the feature dimensions of the input tensors.