Need Help with last assignment of course 5 of deep learning specialization

Course Q&A Deep Learning Specialization Sequence Models
1 
# UNQ_C3 (UNIQUE CELL IDENTIFIER, DO NOT EDIT)
# GRADED FUNCTION scaled_dot_product_attention
def scaled_dot_product_attention(q, k, v, mask):
    # mentor edit: code removed
    return output, attention_weights

The implementation is correct. still an assertion error is thrown stating “Wrong masked weights”. what’s the issue?

2

Please do not share your code on the forum. That is not allowed by the Code of Conduct.

If a mentor needs to see your code, we will contact you with instructions.

I have edited your post to remove the code.

3

Please see this text from the markdown:

Reminder: The boolean mask parameter can be passed in as none or as either padding or look-ahead.
Multiply (1. - mask) by -1e9 before applying the softmax.

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