Shape of example_weights

Course Q&A Natural Language Processing NLP with Sequence Models
1

I wrote the following code for example_weights

example_weights = np.ones_like(targets)

and I couldn’t pass the test which produced errors like

Second output from data_generator (targets) has the wrong shape.
	Expected (4,).
	Got (4, 14).
Third output from data_generator (example_weights) has the wrong shape.
	Expected (4,).
	Got (4, 14).
Second output from data_generator (targets) has the wrong values.
	Expected [1 1 0 0].
	Got [1 1 1 ... 0 0 0].
Third output from data_generator (example_weights) has the wrong values.
	Expected [1 1 1 1].
	Got [1 1 1 ... 1 1 1].

 10  Tests passed
 4  Tests failed

I don’t know where I was wrong in the code… Can anyone help me on this issue?

2

Solved it! I set the wrong dimension for target_pos and target_neg. Now I passed the test.