我正在尝试按照本教程在 google colab pro 上安装 cudf 和 cuml：rapids_cudf.ipynb - Colaboratory
但是在运行以下代码块之后：
# intall miniconda
!wget -c https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh
!chmod +x Miniconda3-4.5.4-Linux-x86_64.sh
!bash ./Miniconda3-4.5.4-Linux-x86_64.sh -b -f -p /usr/local
# install RAPIDS packages
!conda install -q -y --prefix /usr/local -c conda-forge \
-c rapidsai-nightly/label/cuda10.0 -c nvidia/label/cuda10.0 \
cudf cuml
# set environment vars
import sys, os, shutil
sys.path.append('/usr/local/lib/python3.6/site-packages/')
os.environ['NUMBAPRO_NVVM'] = '/usr/local/cuda/nvvm/lib64/libnvvm.so'
os.environ['NUMBAPRO_LIBDEVICE'] = '/usr/local/cuda/nvvm/libdevice/'
# copy .so files to current working dir
for fn in ['libcudf.so', 'librmm.so']:
shutil.copy('/usr/local/lib/'+fn, os.getcwd())
我收到以下错误：
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-3-f6f0b40601c8> in <module>()
15 # copy .so files to current working dir
16 for fn in ['libcudf.so', 'librmm.so']:
---> 17 shutil.copy('/usr/local/lib/'+fn, os.getcwd())
1 frames
/usr/lib/python3.7/shutil.py in copyfile(src, dst, follow_symlinks)
118 os.symlink(os.readlink(src), dst)
119 else:
--> 120 with open(src, 'rb') as fsrc:
121 with open(dst, 'wb') as fdst:
122 copyfileobj(fsrc, fdst)
FileNotFoundError: [Errno 2] No such file or directory: '/usr/local/lib/libcudf.so'
我有以下 GPU：colab pro 上的 b'Tesla P100-PCIE-16GB'。
运行上面给出的代码块后，python 版本为：Python 3.6.5 :: Anaconda, Inc.
这些是其他规格：
# Check Ubuntu Version
!lsb_release -a
输出：
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 18.04.5 LTS
Release: 18.04
Codename: bionic
# Check CUDA/cuDNN Version
!nvcc -V && which nvcc
输出：
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Mon_Oct_12_20:09:46_PDT_2020
Cuda compilation tools, release 11.1, V11.1.105
Build cuda_11.1.TC455_06.29190527_0
/usr/local/cuda/bin/nvcc
我已经尝试遵循StackOverflow的本教程，但无法安装 cudf 或 cuml。