Week 1 Sequence Model Dinasour: np.allclose(indices[0:6], [23, 16, 26, 26, 24, 3]) ERROR

Course Q&A Deep Learning Specialization Sequence Models
1

Hello guys,
I need some help with the following problem in:

Function sample(parameters, char_to_ix, seed):

I believe the issue is here:
I used these 2:

idx = np.random.choice(range(len(y.ravel())), p = y.ravel())
idx = np.random.choice(list(range(vocab_size)), p = y.ravel())

I get
Sampling:
list of sampled indices:
[23, 16, 26, 26, 24]
list of sampled characters:
[‘h’, ‘p’, ‘i’, ‘i’, ‘\n’]

But the error says
ValueError: operands could not be broadcast together with shapes (5,) (6,), which is related to

assert np.allclose(indices[0:6], [23, 16, 26, 26, 24, 3]), “Wrong values”

It makes sense because my result is (5,) but the assert is (6,). Why I get this difference?

2

Nevermind guys… I went back in time. Used the checkpoint to clear all. Retyped everything and it worked perfectly :confused: So likely I deleted something without noticing and it created some error…but I don’t know what it was…anyways…

1 Like
3

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