W4A1E3 what's wrong?

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 ]])
63
64 assert tf.is_tensor(attention), “Output must be a tensor”

AssertionError:

2

Hi KJL,

it seems that the output of your method is not with the right dimensions. Please review the forum and be careful on how you compute dk. This thread might help you.

Happy learning

Rosa