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>>> import torch >>> x = torch.ones(4, dtype=torch.complex128).cuda() >>> torch.mean(x) --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) <ipython-input-108-34af2dc3edea> in <module> 1 impoRead more function request good first issue module: complex triaged Open
In [16]: str_arr = np.array(["hi", "there"]) In [17]: ",".join(str_arr) Out[17]: 'hi,there' In [18]: numba.njit(lambda str_arr: ",".join(str_arr))(str_arr) TypingError: Failed in nopython mode pipeline (step: nopython frontend) - Resolution failure for literal arguments: No implementation of functionRead more bug - failure to compile good first issue Open
# Your code here import numpy as np import xarray as xr data = np.zeros((10, 4)) example_xr = xr.DataArray(data, coords=[range(10), ["Read more documentation good first issue Open