Open javadr opened 1 year ago
Can you send the full error with stack trace? Looks like it is something wrong with our code.
expand(torch.LongTensor{[1, 5]}, size=[5])
is wrong, but I don't know where that occurs.
Both of them are the same. See below.
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
[<ipython-input-35-64cc5fb8a425>](https://localhost:8080/#) in <module>
----> 1 run_test(test_bincount)
3 frames
[/content/lib.py](https://localhost:8080/#) in run_test(fn)
208
209 def run_test(fn):
--> 210 fn()
211 # Generate a random puppy video if you are correct.
212 print("Correct!")
[/content/lib.py](https://localhost:8080/#) in test_problem()
188
189 @given(spec(problem))
--> 190 def test_problem(d):
191 d, sizes = d
192 d = constraint(d)
[/usr/local/lib/python3.7/dist-packages/hypothesis/core.py](https://localhost:8080/#) in wrapped_test(*arguments, **kwargs)
1254 else get_trimmed_traceback()
1255 )
-> 1256 raise the_error_hypothesis_found
1257
1258 if not (ran_explicit_examples or state.ever_executed):
[/content/lib.py](https://localhost:8080/#) in test_problem(d)
199 out2 = problem(*map(tensor, d.values()))
200 out = tensor(out)
--> 201 out2 = torch.broadcast_to(out2, out.shape)
202 assert torch.allclose(
203 out, out2
RuntimeError: expand(torch.LongTensor{[1, 5]}, size=[5]): the number of sizes provided (1) must be greater or equal to the number of dimensions in the tensor (2)
This issue is because your answer has a larger dimension than the output from the <puzzle>_spec
functions.
For example, your output tensor has a shape [1, 5]
, and the make_test tries to "broadcast" it into [5]
.
You can check if your answer fits the type hint from the puzzle (TT["j"]
in this cast), and everything will work like a charm again.
Thanks a lot for this great mind-baffling puzzle. I am kinda got stuck with problems 15 and 16 as it throws:
I have used the following for puzzles 15 and 16, respectively:
and
While both work like a charm in the first part, the
run_test
part throws a runtime error! I can't figure out what the problem is. Could you please help me with this issue?