numba reshape supports contiguous array only - Axtarish в Google
2 дек. 2019 г. · Problem solved, one need to use numpy.copy() to create a contiguous array copy of the slice for use, and everything will be fine.
12 янв. 2023 г. · ... reshape() supports contiguous array only During: resolving callee type: BoundFunction(array.reshape for array(int64, 1d, A)) During: typing ...
13 дек. 2023 г. · The error tells you that reshape is only supported on contiguous arrays. According to the error message reshape is used internally within diff.
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 ...
The following methods of Numpy arrays are supported: copy() (without arguments); reshape() (only the 1-argument form); transpose() (without arguments, and ...
Basic linear algebra is supported on 1-D and 2-D contiguous arrays of floating-point and complex numbers: numpy.dot() · numpy.kron() ('C' and 'F' order only) ...
In this case, it ensures the creation of an array object compatible with that passed in via this argument. New in version 1.20.0. Returns: outndarray.
18 дек. 2023 г. · I noticed a strange performance loss (4x to 8x) depending on the CPU (x86-64) and dtype used with Python 3.11.6 and Numba 0.58.1 between f1() (faster) and f0() ...
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