Question: Our input to a 4 head multihead self attention are a sequence of terms with 1 2 8 - dimensional embedding. For computing the self

Our input to a 4 head multihead self attention are a sequence of terms with 128-dimensional embedding. For computing the self-attention, the dimension for the keys and queries for all the heads are 10. What are the shapes for the learnable weight matrices
for the first head in the multihead attention layer?

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