Course 5 Week 4 Exercise 3 :AssertionError: Wrong unmasked weights

Course Q&A Deep Learning Specialization Sequence Models
1

AssertionError Traceback (most recent call last)
in
1 # UNIT TEST
----> 2 scaled_dot_product_attention_test(scaled_dot_product_attention)

~/work/W4A1/public_tests.py in scaled_dot_product_attention_test(target)
60 assert np.allclose(weights, [[0.2589478, 0.42693272, 0.15705977, 0.15705977],
61 [0.2772748, 0.2772748, 0.2772748, 0.16817567],
—> 62 [0.33620113, 0.33620113, 0.12368149, 0.2039163 ]]), “Wrong unmasked weights”
63
64 assert tf.is_tensor(attention), “Output must be a tensor”

AssertionError: Wrong unmasked weights

I am getting this error and unable to find the error in my code. Any suggestions?

1 Like
2

Dear @Nuthara_N_R,

Please send me your notebook as personal message to me. I’ll look into the issues and let you know.

Thanks