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EasyNLPnlp-361

Dot Product Attention Scores

Problem

Unscaled attention scores are the dot products of a query with each key.

Given the query vector and the list of key vectors, return the score list.

Hint

One dot product per key.

Test cases

case 1
in: [[1,0],[[1,0],[0,1]]]
expected: [1,0]
case 2
in: [[1,1],[[1,1]]]
expected: [2]
case 3
in: [[0,1],[[1,0],[0,2],[1,1]]]
expected: [0,2,1]
Starter codePython
def dot_product_attention_scores(query, keys):
    # Your code here
    pass

3 test cases · run your code against them in the editor