5 апр. 2020 г. · This error is usually caused by passing an argument of a type that is unsupported by the named function.

2 мар. 2022 г. · You get this error because dot and inv are optimized for contiguous arrays. However, regarding the small input size, this is not a huge problem.

30 окт. 2024 г. · As mentioned in the comments, reshape (in numba) currently only supports contiguous arrays, but it seems it isn't triggering the error here.

11 сент. 2024 г. · Если перед reshape сделать copy , то вроде работает на урезанном варианте вашей функции, а без copy эта функция падает с такой же как у вас ...

18 янв. 2023 г. · You can force a contiguous array to be created using np.ascontiguousarray . Alternatively, you can just explicitly copy the array. For example: ...

11 нояб. 2019 г. · The problem is that np.diff in Numba does an internal reshape, which is only supported for contiguous arrays.

31 мая 2022 г. · I am looking for any alternate way to write arr_1d = np.zeros(d ** n) arr_nd = arr_1d.reshape((d,) * n). with a @numba.jit(nopython=True) ...

1 июн. 2021 г. · To create a contiguous array, where BLAS algorithms will be used you can use np.ascontiguousarray(). This will lead to a full copy, which isn't beneficial in ...

4 авг. 2016 г. · I have tried it but I get : reshape() supports contiguous array only . And of course, toto() is an example not my actual function.

3 февр. 2022 г. · Arrays with format A (any) are not necessarily contiguous. You can ensure the function deals with contiguous arrays only: @njit([nb.float64[::1]( ...