error: TypeError: No matching version. GPU ufunc requires array arguments to have the exact types. This behaves like regular ufunc with casting='no'.

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Brian Bak

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May 22, 2020, 4:56:24 PM5/22/20

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I am just started looking into numba's GPU capabilities. To test if my system (thinkpad p43s with win 10) support it I have tried running the notebook https://github.com/ContinuumIO/gtc2018-numba --> CUDA Basics.ipynb from the suggested tutorials (http://numba.pydata.org/numba-doc/latest/user/talks.html#tutorials) in a new anaconda environment with python 3.7 numba, cudatoolkit, and jupyter and the same but with python 3.8. I get and error when executing this part of the notebook:

import numpy as np

a = np.array([1, 2, 3, 4])

b = np.array([10, 20, 30, 40])

np.add(a, b)

from numba import vectorize

@vectorize(['int64(int64, int64)'], target='cuda')

def add_ufunc(x, y):

return x + y

print('a+b:\n', add_ufunc(a, b))

print()

print('b_col + c:\n', add_ufunc(b_col, c))

I receive this error:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-4-e9c2e3542d98> in <module>
----> 1 print('a+b:\n', add_ufunc(a, b))
      2 print()
      3 print('b_col + c:\n', add_ufunc(b_col, c))

~\AppData\Local\Continuum\anaconda3\lib\site-packages\numba\cuda\dispatcher.py in __call__(self, *args, **kws)
     86                       the input arguments.
     87         """
---> 88         return CUDAUFuncMechanism.call(self.functions, args, kws)
     89 
     90     def reduce(self, arg, stream=0):

~\AppData\Local\Continuum\anaconda3\lib\site-packages\numba\npyufunc\deviceufunc.py in call(cls, typemap, args, kws)
    255         # Begin call resolution
    256         cr = cls(typemap, args)
--> 257         args = cr.get_arguments()
    258         resty, func = cr.get_function()
    259 

~\AppData\Local\Continuum\anaconda3\lib\site-packages\numba\npyufunc\deviceufunc.py in get_arguments(self)
    205         self._fill_arrays()
    206         self._fill_argtypes()
--> 207         self._resolve_signature()
    208         arys = self._get_actual_args()
    209         return self._broadcast(arys)

~\AppData\Local\Continuum\anaconda3\lib\site-packages\numba\npyufunc\deviceufunc.py in _resolve_signature(self)
    145 
    146         if not matches:
--> 147             raise TypeError("No matching version.  GPU ufunc requires array "
    148                             "arguments to have the exact types.  This behaves "
    149                             "like regular ufunc with casting='no'.")

TypeError: No matching version.  GPU ufunc requires array arguments to have the exact types.  This behaves like regular ufunc with casting='no'.

Can you help me figure out if I can fix this problem?

My system information is:

--------------------------------------------------------------------------------

__Time Stamp__

2020-05-22 20:20:42.637950

__Hardware Information__

Machine : AMD64

CPU Name : skylake

CPU count : 8

CPU Features :

64bit adx aes avx avx2 bmi bmi2 clflushopt cmov cx16 f16c fma fsgsbase invpcid

lzcnt mmx movbe pclmul popcnt prfchw rdrnd rdseed sahf sgx sse sse2 sse3 sse4.1

sse4.2 ssse3 xsave xsavec xsaveopt xsaves

__OS Information__

Platform : Windows-10-10.0.17763-SP0

Release : 10

System Name : Windows

Version : 10.0.17763

OS specific info : 1010.0.17763SP0Multiprocessor Free

__Python Information__

Python Compiler : MSC v.1916 64 bit (AMD64)

Python Implementation : CPython

Python Version : 3.8.3

Python Locale : da_DK cp1252

__LLVM information__

LLVM version : 8.0.0

__CUDA Information__

Found 1 CUDA devices

id 0 b'Quadro P520' [SUPPORTED]

compute capability: 6.1

pci device id: 0

pci bus id: 60

Summary:

1/1 devices are supported

CUDA driver version : 10020

CUDA libraries:

Finding cublas from Conda environment

named cublas64_10.dll

trying to open library... ok

Finding cusparse from Conda environment

named cusparse64_10.dll

trying to open library... ok

Finding cufft from Conda environment

named cufft64_10.dll

trying to open library... ok

Finding curand from Conda environment

named curand64_10.dll

trying to open library... ok

Finding nvvm from Conda environment

named nvvm64_33_0.dll

trying to open library... ok

Finding libdevice from Conda environment

searching for compute_20... ok

searching for compute_30... ok

searching for compute_35... ok

searching for compute_50... ok

__ROC Information__

ROC available : False

Error initialising ROC due to : No ROC toolchains found.

No HSA Agents found, encountered exception when searching:

Error at driver init:

HSA is not currently supported on this platform (win32).

__SVML Information__

SVML state, config.USING_SVML : True

SVML library found and loaded : True

llvmlite using SVML patched LLVM : True

SVML operational : True

__Threading Layer Information__

TBB Threading layer available : True

OpenMP Threading layer available : True

+--> Vendor: : MS

Workqueue Threading layer available : True

__Numba Environment Variable Information__

None set.

__Conda Information__

conda_build_version : 3.18.9

conda_env_version : 4.8.3

platform : win-64

python_version : 3.7.4.final.0

root_writable : True

__Current Conda Env__

alabaster 0.7.12 py_0

argh 0.26.2 py38_0

astroid 2.4.1 py38_0

atomicwrites 1.4.0 py_0

attrs 19.3.0 py_0

autopep8 1.4.4 py_0

babel 2.8.0 py_0

backcall 0.1.0 py38_0

bcrypt 3.1.7 py38he774522_0

blas 1.0 mkl

bleach 3.1.4 py_0

ca-certificates 2020.1.1 0

certifi 2020.4.5.1 py38_0

cffi 1.14.0 py38h7a1dbc1_0

chardet 3.0.4 py38_1003

cloudpickle 1.4.1 py_0

colorama 0.4.3 py_0

cryptography 2.9.2 py38h7a1dbc1_0

cudatoolkit 10.2.89 h74a9793_1

decorator 4.4.2 py_0

defusedxml 0.6.0 py_0

diff-match-patch 20181111 py_0

docutils 0.16 py38_0

entrypoints 0.3 py38_0

flake8 3.7.9 py38_0

future 0.18.2 py38_0

icc_rt 2019.0.0 h0cc432a_1

icu 58.2 ha925a31_3

idna 2.9 py_1

imagesize 1.2.0 py_0

importlib_metadata 1.5.0 py38_0

intel-openmp 2020.1 216

intervaltree 3.0.2 py_0

ipykernel 5.1.4 py38h39e3cac_0

ipython 7.13.0 py38h5ca1d4c_0

ipython_genutils 0.2.0 py38_0

ipywidgets 7.5.1 py_0

isort 4.3.21 py38_0

jedi 0.15.2 py38_0

jinja2 2.11.2 py_0

jpeg 9b hb83a4c4_2

jsonschema 3.2.0 py38_0

jupyter 1.0.0 py38_7

jupyter_client 6.1.3 py_0

jupyter_console 6.1.0 py_0

jupyter_core 4.6.3 py38_0

keyring 21.1.1 py38_2

lazy-object-proxy 1.4.3 py38he774522_0

libpng 1.6.37 h2a8f88b_0

libsodium 1.0.16 h9d3ae62_0

libspatialindex 1.9.3 h33f27b4_0

llvmlite 0.32.1 py38ha925a31_0

m2w64-gcc-libgfortran 5.3.0 6

m2w64-gcc-libs 5.3.0 7

m2w64-gcc-libs-core 5.3.0 7

m2w64-gmp 6.1.0 2

m2w64-libwinpthread-git 5.0.0.4634.697f757 2

markupsafe 1.1.1 py38he774522_0

mccabe 0.6.1 py38_1

mistune 0.8.4 py38he774522_1000

mkl 2020.1 216

mkl-service 2.3.0 py38hb782905_0

mkl_fft 1.0.15 py38h14836fe_0

mkl_random 1.1.0 py38hf9181ef_0

msys2-conda-epoch 20160418 1

nbconvert 5.6.1 py38_0

nbformat 5.0.6 py_0

notebook 6.0.3 py38_0

numba 0.49.1 py38h47e9c7a_0

numpy 1.18.1 py38h93ca92e_0

numpy-base 1.18.1 py38hc3f5095_1

numpydoc 0.9.2 py_0

openssl 1.1.1g he774522_0

packaging 20.3 py_0

pandoc 2.2.3.2 0

pandocfilters 1.4.2 py38_1

paramiko 2.7.1 py_0

parso 0.5.2 py_0

pathtools 0.1.2 py_1

pexpect 4.8.0 py38_0

pickleshare 0.7.5 py38_1000

pip 20.0.2 py38_3

pluggy 0.13.1 py38_0

prometheus_client 0.7.1 py_0

prompt-toolkit 3.0.4 py_0

prompt_toolkit 3.0.4 0

psutil 5.7.0 py38he774522_0

pycodestyle 2.5.0 py38_0

pycparser 2.20 py_0

pydocstyle 4.0.1 py_0

pyflakes 2.1.1 py38_0

pygments 2.6.1 py_0

pylint 2.5.2 py38_0

pynacl 1.3.0 py38h62dcd97_0

pyopenssl 19.1.0 py38_0

pyparsing 2.4.7 py_0

pyqt 5.9.2 py38ha925a31_4

pyrsistent 0.16.0 py38he774522_0

pysocks 1.7.1 py38_0

python 3.8.3 he1778fa_0

python-dateutil 2.8.1 py_0

python-jsonrpc-server 0.3.4 py_0

python-language-server 0.31.10 py38_0

pytz 2020.1 py_0

pywin32 227 py38he774522_1

pywin32-ctypes 0.2.0 py38_1000

pywinpty 0.5.7 py38_0

pyyaml 5.3.1 py38he774522_0

pyzmq 18.1.1 py38ha925a31_0

qdarkstyle 2.8.1 py_0

qt 5.9.7 vc14h73c81de_0

qtawesome 0.7.0 py_0

qtconsole 4.7.4 py_0

qtpy 1.9.0 py_0

requests 2.23.0 py38_0

rope 0.17.0 py_0

rtree 0.9.4 py38h21ff451_1

send2trash 1.5.0 py38_0

setuptools 46.4.0 py38_0

sip 4.19.13 py38ha925a31_0

six 1.14.0 py38_0

snowballstemmer 2.0.0 py_0

sortedcontainers 2.1.0 py38_0

sphinx 3.0.3 py_0

sphinxcontrib-applehelp 1.0.2 py_0

sphinxcontrib-devhelp 1.0.2 py_0

sphinxcontrib-htmlhelp 1.0.3 py_0

sphinxcontrib-jsmath 1.0.1 py_0

sphinxcontrib-qthelp 1.0.3 py_0

sphinxcontrib-serializinghtml 1.1.4 py_0

spyder 4.1.3 py38_0

spyder-kernels 1.9.1 py38_0

sqlite 3.31.1 h2a8f88b_1

tbb 2020.0 h74a9793_0

terminado 0.8.3 py38_0

testpath 0.4.4 py_0

toml 0.10.0 pyh91ea838_0

tornado 6.0.4 py38he774522_1

traitlets 4.3.3 py38_0

ujson 1.35 py38he774522_0

urllib3 1.25.8 py38_0

vc 14.1 h0510ff6_4

vs2015_runtime 14.16.27012 hf0eaf9b_2

watchdog 0.10.2 py38_0

wcwidth 0.1.9 py_0

webencodings 0.5.1 py38_1

wheel 0.34.2 py38_0

widgetsnbextension 3.5.1 py38_0

win_inet_pton 1.1.0 py38_0

wincertstore 0.2 py38_0

winpty 0.4.3 4

wrapt 1.11.2 py38he774522_0

yaml 0.1.7 hc54c509_2

yapf 0.28.0 py_0

zeromq 4.3.1 h33f27b4_3

zipp 3.1.0 py_0

zlib 1.2.11 h62dcd97_4

--------------------------------------------------------------------------------

Regards,

Brian

Valentin Haenel

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May 25, 2020, 8:46:17 AM5/25/20

to numba...@continuum.io

Dear Brian,

to keep track of the issue I have added it to the Numba issue tracker here:

https://github.com/numba/numba/issues/5744#issuecomment-633472149

Best wishes,

V-

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