I am not able to understand where I am going wrong. Can anyone guide me to the right route or a hint where I might be going wrong??
are my parameters correct???
Please check this thread where the user experienced the same error. If it doesn’t help, let us know.
Best,
Saif.
from what I understood with the thread you sent, my single_Example is incorrect, so the idx initialisation is incorrect? I am understanding right sir??
I don’t know whether your idx initialization is correct or not. Please share your full error.
TypeError Traceback (most recent call last)
in
----> 1 parameters, last_name = model(data.split(“\n”), ix_to_char, char_to_ix, 22001, verbose = True)
2
3 assert last_name == ‘Trodonosaurus\n’, “Wrong expected output”
4 print(“\033[92mAll tests passed!”)
in model(data_x, ix_to_char, char_to_ix, num_iterations, n_a, dino_names, vocab_size, verbose)
80 if j % 2000 == 0:
81
—> 82 print('Iteration: %d, Loss: f' (j, loss) + ‘\n’)
83
84 # The number of dinosaur names to print
TypeError: only size-1 arrays can be converted to Python scalars
Kindly send me your code of a model function in a private message so I can check it. Click my name and message.
1 Like
Sent. Please have a look.
Thank you
DP
OK. I got your bug. Please add the below two lines in your code and see what the difference in them. The output will be verbose but you can change the num_iterations from 22001 to 2. But once you find your bug, then revert it to 22001.
print(f'single_example_ix: {len(single_example_ix)}')
print(f'[single_example_ix]: {len([single_example_ix])}')
I am getting this error now
single_example_ix: 11
[single_example_ix]: 1
TypeError Traceback (most recent call last)
in
----> 1 parameters, last_name = model(data.split(“\n”), ix_to_char, char_to_ix, 22001, verbose = True)
2
3 assert last_name == ‘Trodonosaurus\n’, “Wrong expected output”
4 print(“\033[92mAll tests passed!”)
in model(data_x, ix_to_char, char_to_ix, num_iterations, n_a, dino_names, vocab_size, verbose)
82 if j % 2000 == 0:
83
—> 84 print('Iteration: %d, Loss: f' (j, loss) + ‘\n’)
85
86 # The number of dinosaur names to print
TypeError: only size-1 arrays can be converted to Python scalars
So, we need to Prepend the list [None] in front of the list of input characters. All characters of single_example_ix. But when we use [], we make the list inside another list which treats it as a single.
I already have prepend [None] with the single_example_ix to the X equation
ok I saw a difference when I removed [ ] from the X equation for single_example_ix
I got this
j = 0 idx = 0
single_example = turiasaurus
single_example_chars [‘t’, ‘u’, ‘r’, ‘i’, ‘a’, ‘s’, ‘a’, ‘u’, ‘r’, ‘u’, ‘s’]
single_example_ix [20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19]
X = [None, 20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19]
Y = [20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19, 0]
single_example_ix: 11
[single_example_ix]: 1
Iteration: 0, Loss: 23.087336
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j = 1535 idx = 1535
j = 1536 idx = 0
Iteration: 2000, Loss: 27.884160
Check the below example.
Let’s say we have:
input_characters = ['a', 'b', 'c', 'd']
And we do this:
prepended_list = [None] + input_characters
print(prepended_list)
Output is:
[None, 'a', 'b', 'c', 'd']
But, if we do this:
prepended_list = [None] + [input_characters]
print(prepended_list)
Output is:
[None, ['a', 'b', 'c', 'd']]
Do you get the intuition? The second one is prepending the input_characters as a separate list with None, not prepending the each elements of a list.
1 Like
Make sure to have num_iterations = 22001, which you changed for debugging purpose.
num iterations right now it is 2000. I got the prepend list explanation. although still not finding the solution. I will dig my neurons for a while 
hopefully I get it.
KeyError Traceback (most recent call last)
in
----> 1 parameters, last_name = model(data.split(“\n”), ix_to_char, char_to_ix, 22001, verbose = True)
2
3 assert last_name == ‘Trodonosaurus\n’, “Wrong expected output”
4 print(“\033[92mAll tests passed!”)
in model(data_x, ix_to_char, char_to_ix, num_iterations, n_a, dino_names, vocab_size, verbose)
Why num_iterations is 2000? Change it back to the original number to get the expected output. Furthermore, you are still using [] with single_example_ix in X.
1 Like
no no I have removed. my single_example_ix has an issue which I understood from other posts that the code I used it is indicating more of dictionary indices where as I need to use word indices.
j = 0 idx = 0
single_example = turiasaurus
single_example_chars [‘t’, ‘u’, ‘r’, ‘i’, ‘a’, ‘s’, ‘a’, ‘u’, ‘r’, ‘u’, ‘s’]
single_example_ix [20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19]
X = [None, 20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19]
Y = [20, 21, 18, 9, 1, 19, 1, 21, 18, 21, 19, 0]
single_example_ix: 11
[single_example_ix]: 1
Iteration: 0, Loss: 23.087336
Nkzxwtdmfqoeyhsqwasjkjvu
Kneb
Kzxwtdmfqoeyhsqwasjkjvu
Neb
Zxwtdmfqoeyhsqwasjkjvu
Eb
Xwtdmfqoeyhsqwasjkjvu
j = 1535 idx = 1535
j = 1536 idx = 0
Iteration: 2000, Loss: 27.884160
Liusskeomnolxeros
Hmdaairus
Hytroligoraurus
Lecalosapaus
Xusicikoraurus
Abalpsamantisaurus
Tpraneronxeros
Iteration: 4000, Loss: 25.901815
Mivrosaurus
Inee
Ivtroplisaurus
Mbaaisaurus
Wusichisaurus
Cabaselachus
Toraperlethosdarenitochusthiamamumamaon
Iteration: 6000, Loss: 24.608779
Onwusceomosaurus
Lieeaerosaurus
Lxussaurus
Oma
Xusteonosaurus
Eeahosaurus
Toreonosaurus
Iteration: 8000, Loss: 24.070350
Onxusichepriuon
Kilabersaurus
Lutrodon
Omaaerosaurus
Xutrcheps
Edaksoje
Trodiktonus
Iteration: 10000, Loss: 23.844446
Onyusaurus
Klecalosaurus
Lustodon
Ola
Xusodonia
Eeaeosaurus
Troceosaurus
Iteration: 12000, Loss: 23.291971
Onyxosaurus
Kica
Lustrepiosaurus
Olaagrraiansaurus
Yuspangosaurus
Eealosaurus
Trognesaurus
Iteration: 14000, Loss: 23.382338
Meutromodromurus
Inda
Iutroinatorsaurus
Maca
Yusteratoptititan
Ca
Troclosaurus
Iteration: 16000, Loss: 23.224544
Meusspanchodtashuarhiaspantaxia
Indaa
Iuspsauhosaurus
Macacosaurus
Yusoconikaulrit
Cacasoceimurus
Trrasaurus
Iteration: 18000, Loss: 22.904954
Pivrrong
Llecanosaurus
Myssocilindus
Peeaishidanagtallsaurus
Ytrong
Eg
Trojichus
Iteration: 20000, Loss: 23.005394
Nkytrohelosaurus
Lolaagosaurus
Lyusochosaurus
Necakson
Yussangosaurus
Eiagosaurus
Trodon
Iteration: 22000, Loss: 22.728886
Onustreofkelus
Llecagosaurus
Mystolojmiaterltasaurus
Ola
Yuskeolongus
Eiacosaurus
Trodonosaurus
All tests passed!
can I know why I am still getting wrong output??
isn’t your output the same as the expected output?
One more thing: remove the print statement which you added in your code for debugging purpose. Otherwise, grader will fail you or give an error.
One more thing: remove the print statement which you added in your code for debugging purpose. Otherwise, grader will fail you or give an error. I will do it sir.
Yes the results are as expected output still wrong output is mentioned ;-(