我正在尝试安装Numba沿着tbb（或omb）作为线程层。即使我已经安装了tdd和omb，并且可以看到它们安装在我的虚拟环境中，在运行时（或使用Numba CLI），它似乎无法解决其中任何一个，因为它说，“由于未知的导入问题而被禁用”。有什么建议可以解决这个问题吗？谢谢！
numba -s的输出
System info:
--------------------------------------------------------------------------------
__Time Stamp__
Report started (local time) : 2023-06-03 12:51:22.078030
UTC start time : 2023-06-03 16:51:22.078037
Running time (s) : 0.936195
__Hardware Information__
Machine : x86_64
CPU Name : skylake
CPU Count : 12
Number of accessible CPUs : ?
List of accessible CPUs cores : ?
CFS Restrictions (CPUs worth of runtime) : None
CPU Features : 64bit adx aes avx avx2 bmi bmi2
clflushopt cmov crc32 cx16 cx8
f16c fma fsgsbase fxsr invpcid
lzcnt mmx movbe pclmul popcnt
prfchw rdrnd rdseed rtm sahf sgx
sse sse2 sse3 sse4.1 sse4.2 ssse3
xsave xsavec xsaveopt xsaves
Memory Total (MB) : 32768
Memory Available (MB) : 13459
__OS Information__
Platform Name : macOS-13.3.1-x86_64-i386-64bit
Platform Release : 22.4.0
OS Name : Darwin
OS Version : Darwin Kernel Version 22.4.0: Mon Mar 6 21:00:17 PST 2023; root:xnu-8796.101.5~3/RELEASE_X86_64
OS Specific Version : 13.3.1 x86_64
Libc Version : ?
__Python Information__
Python Compiler : Clang 14.0.3 (clang-1403.0.22.14.1)
Python Implementation : CPython
Python Version : 3.9.6
Python Locale : en_US.UTF-8
__Numba Toolchain Versions__
Numba Version : 0.57.0
llvmlite Version : 0.40.0
__LLVM Information__
LLVM Version : 14.0.6
__CUDA Information__
CUDA Device Initialized : False
CUDA Driver Version : ?
CUDA Runtime Version : ?
CUDA NVIDIA Bindings Available : ?
CUDA NVIDIA Bindings In Use : ?
CUDA Minor Version Compatibility Available : ?
CUDA Minor Version Compatibility Needed : ?
CUDA Minor Version Compatibility In Use : ?
CUDA Detect Output:
None
CUDA Libraries Test Output:
None
__NumPy Information__
NumPy Version : 1.24.3
NumPy Supported SIMD features : ('MMX', 'SSE', 'SSE2', 'SSE3', 'SSSE3', 'SSE41', 'POPCNT', 'SSE42', 'AVX', 'F16C', 'FMA3', 'AVX2')
NumPy Supported SIMD dispatch : ('SSSE3', 'SSE41', 'POPCNT', 'SSE42', 'AVX', 'F16C', 'FMA3', 'AVX2', 'AVX512F', 'AVX512CD', 'AVX512_KNL', 'AVX512_SKX', 'AVX512_CLX', 'AVX512_CNL', 'AVX512_ICL')
NumPy Supported SIMD baseline : ('SSE', 'SSE2', 'SSE3')
NumPy AVX512_SKX support detected : False
__SVML Information__
SVML State, config.USING_SVML : False
SVML Library Loaded : False
llvmlite Using SVML Patched LLVM : True
SVML Operational : False
__Threading Layer Information__
TBB Threading Layer Available : False
+--> Disabled due to Unknown import problem.
OpenMP Threading Layer Available : False
+--> Disabled due to Unknown import problem.
Workqueue Threading Layer Available : True
+-->Workqueue imported successfully.
__Numba Environment Variable Information__
NUMBA_THREADING_LAYER : TBB
__Conda Information__
Conda not available.
__Installed Packages__
Package Version
-------------------------------- ---------
appnope 0.1.3
asttokens 2.2.1
async-timeout 4.0.2
avro 1.11.0
azure-core 1.26.4
azure-functions 1.8.0
azure-identity 1.7.1
azure-messaging-webpubsubservice 1.0.1
azure-storage-blob 12.16.0
backcall 0.2.0
cachetools 5.3.0
certifi 2022.12.7
cffi 1.15.1
charset-normalizer 3.1.0
click 8.1.3
cloudpickle 2.2.1
comm 0.1.3
contourpy 1.0.7
cryptography 40.0.2
cycler 0.11.0
dask 2023.4.0
dataclasses-json 0.5.7
debugpy 1.6.7
decorator 5.1.1
Deprecated 1.2.13
executing 1.2.0
fonttools 4.39.3
fsspec 2023.4.0
google-api-core 2.11.0
google-auth 2.17.3
googleapis-common-protos 1.59.0
idna 3.4
importlib-metadata 6.6.0
importlib-resources 5.12.0
ipykernel 6.22.0
ipython 8.13.1
isodate 0.6.1
jedi 0.18.2
Jinja2 3.1.2
joblib 1.2.0
jupyter_client 8.2.0
jupyter_core 5.3.0
kiwisolver 1.4.4
llvmlite 0.40.0
locket 1.0.0
MarkupSafe 2.1.2
marshmallow 3.19.0
marshmallow-enum 1.5.1
matplotlib 3.7.1
matplotlib-inline 0.1.6
metakernel 0.29.4
msal 1.22.0
msal-extensions 0.3.1
msgpack 1.0.5
msrest 0.7.1
mypy-extensions 1.0.0
nest-asyncio 1.5.6
numba 0.57.0
numpy 1.24.3
oauthlib 3.2.2
oct2py 5.6.0
octave_kernel 0.35.1
OMB 0.1.dev0
opencensus 0.11.2
opencensus-context 0.1.3
opencensus-ext-azure 1.1.9
packaging 23.1
pandas 2.0.1
parso 0.8.3
partd 1.4.0
patsy 0.5.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.5.0
pip 23.1.2
platformdirs 3.5.0
portalocker 2.7.0
prompt-toolkit 3.0.38
protobuf 3.19.6
psutil 5.9.5
psycopg2-binary 2.9.3
ptyprocess 0.7.0
pure-eval 0.2.2
pyasn1 0.5.0
pyasn1-modules 0.3.0
pycparser 2.21
Pygments 2.15.1
PyJWT 2.6.0
pyparsing 3.0.9
python-dateutil 2.8.2
pytz 2023.3
PyYAML 6.0
pyzmq 25.0.2
redis 4.2.0
requests 2.29.0
requests-oauthlib 1.3.1
rsa 4.9
scikit-learn 1.1.0
scipy 1.10.1
setuptools 58.0.4
six 1.16.0
sortedcontainers 2.4.0
stack-data 0.6.2
statsmodels 0.13.5
stumpy 1.11.1
tbb 2021.9.0
tblib 1.7.0
threadpoolctl 3.1.0
toolz 0.12.0
tornado 6.3.1
tqdm 4.65.0
traitlets 5.9.0
typing_extensions 4.5.0
typing-inspect 0.8.0
tzdata 2023.3
urllib3 1.26.15
wcwidth 0.2.6
websockets 10.2
wrapt 1.15.0
zict 3.0.0
zipp 3.15.0
No errors reported.
__Warning log__
Warning (cuda): CUDA driver library cannot be found or no CUDA enabled devices are present.
Exception class: <class 'numba.cuda.cudadrv.error.CudaSupportError'>
Warning: Conda not available.
Error was [Errno 2] No such file or directory: 'conda'
--------------------------------------------------------------------------------
1条答案
按热度按时间zazmityj1#
我认为你的问题来自
TBB和OMB让我们尝试重新安装它们如果没有修复，请确保Python和Numba可以找到
TBB和OMB以及echo $PATH