(museval-optimization-2) sevagh:sigsep-mus-eval-optimization-2 $ python test.py
size: 8.0 GB
shape: (1000, 1000000)
dtype: float64
OS                           : Linux-5.11.14-100.fc32.x86_64-x86_64-with-glibc2.2.5
CuPy Version                 : 9.0.0
NumPy Version                : 1.20.2
SciPy Version                : 1.6.2
Cython Build Version         : 0.29.22
Cython Runtime Version       : None
CUDA Root                    : /usr
CUDA Build Version           : 11020
CUDA Driver Version          : 11030
CUDA Runtime Version         : 11020
cuBLAS Version               : 11401
cuFFT Version                : 10400
cuRAND Version               : 10203
cuSOLVER Version             : (11, 1, 0)
cuSPARSE Version             : 11400
NVRTC Version                : (11, 2)
Thrust Version               : 101000
CUB Build Version            : 101000
Jitify Build Version         : 60e9e72
cuDNN Build Version          : 8101
cuDNN Version                : 8100
NCCL Build Version           : None
NCCL Runtime Version         : None
cuTENSOR Version             : None
cuSPARSELt Build Version     : None
Device 0 Name                : NVIDIA GeForce RTX 2070 SUPER
Device 0 Compute Capability  : 75
Device 0 PCI Bus ID          : 0000:0A:00.0
None
Traceback (most recent call last):
  File "test.py", line 22, in <module>
    big_array = cupyx.scipy.fft.ifft2(cupy.array(big_array))
  File "/home/sevagh/venvs/museval-optimization-2/lib/python3.8/site-packages/cupyx/scipy/fft/_fft.py", line 214, in ifft2
    return ifftn(x, s, axes, norm, overwrite_x, plan=plan)
  File "/home/sevagh/venvs/museval-optimization-2/lib/python3.8/site-packages/cupyx/scipy/fft/_fft.py", line 285, in ifftn
    return func(x, s, axes, norm, cufft.CUFFT_INVERSE, overwrite_x=overwrite_x,
  File "/home/sevagh/venvs/museval-optimization-2/lib/python3.8/site-packages/cupy/fft/_fft.py", line 614, in _fftn
    a = _exec_fftn(a, direction, value_type, norm=norm, axes=axes_sorted,
  File "/home/sevagh/venvs/museval-optimization-2/lib/python3.8/site-packages/cupy/fft/_fft.py", line 514, in _exec_fftn
    plan = _get_cufft_plan_nd(a.shape, fft_type, axes=axes, order=order,
  File "/home/sevagh/venvs/museval-optimization-2/lib/python3.8/site-packages/cupy/fft/_fft.py", line 456, in _get_cufft_plan_nd
    plan = cufft.PlanNd(*keys)
  File "cupy/cuda/cufft.pyx", line 790, in cupy.cuda.cufft.PlanNd.__init__
  File "cupy/cuda/cufft.pyx", line 169, in cupy.cuda.cufft.check_result
cupy.cuda.cufft.CuFFTError: CUFFT_INTERNAL_ERROR
Traceback (most recent call last):
  File "cupy_backends/cuda/api/driver.pyx", line 260, in cupy_backends.cuda.api.driver.moduleUnload
  File "cupy_backends/cuda/api/driver.pyx", line 125, in cupy_backends.cuda.api.driver.check_status
cupy_backends.cuda.api.driver.CUDADriverError: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered
Exception ignored in: 'cupy.cuda.function.Module.__dealloc__'
Traceback (most recent call last):
  File "cupy_backends/cuda/api/driver.pyx", line 260, in cupy_backends.cuda.api.driver.moduleUnload
  File "cupy_backends/cuda/api/driver.pyx", line 125, in cupy_backends.cuda.api.driver.check_status
cupy_backends.cuda.api.driver.CUDADriverError: CUDA_ERROR_ILLEGAL_ADDRESS: an illegal memory access was encountered