numba/pyculib issues and pull requests

#33 - vqgan -zvid error windows 10

Issue - State: open - Opened by Paulius332 almost 3 years ago

#33 - vqgan -zvid error windows 10

Issue - State: open - Opened by Paulius332 almost 3 years ago

#32 - vqgan -zvid error

Issue - State: open - Opened by Paulius332 almost 3 years ago - 1 comment

#32 - vqgan -zvid error

Issue - State: open - Opened by Paulius332 almost 3 years ago - 1 comment

#31 - OverflowError: value too large to convert to int

Issue - State: closed - Opened by slowkow about 4 years ago - 3 comments

#31 - OverflowError: value too large to convert to int

Issue - State: closed - Opened by slowkow about 4 years ago - 3 comments

#30 - import pyculib causes AttributeError

Issue - State: open - Opened by antw-cg almost 5 years ago - 5 comments

#30 - import pyculib causes AttributeError

Issue - State: open - Opened by antw-cg almost 5 years ago - 5 comments

#29 - module 'numba.findlib' has no attribute 'get_lib_dir'

Issue - State: open - Opened by chenminhua over 5 years ago - 3 comments

#29 - module 'numba.findlib' has no attribute 'get_lib_dir'

Issue - State: open - Opened by chenminhua over 5 years ago - 3 comments

#28 - @jimburnsphd is there any chance you could please expand on what you did so as to specifically describe the problem? Also if you have a reproducer for what you saw that would be really helpful. The Python 3.6 "downgrade" is because there hasn't been a rebuild of this package for Python 3.7 yet, as far as I can tell the constraint solver is correct in its behaviour. Conda provides a contained ecosystem under which CUDA should work fine providing you have suitable drivers and hardware installed on the host system. 'DLL hell' is avoided through the use of isolated environments. Here is an example (the machine it is running on has the Nvidia drivers and a Nvidia GPU installed):

Issue - State: open - Opened by prafullasaxena over 5 years ago - 1 comment

#28 - @jimburnsphd is there any chance you could please expand on what you did so as to specifically describe the problem? Also if you have a reproducer for what you saw that would be really helpful. The Python 3.6 "downgrade" is because there hasn't been a rebuild of this package for Python 3.7 yet, as far as I can tell the constraint solver is correct in its behaviour. Conda provides a contained ecosystem under which CUDA should work fine providing you have suitable drivers and hardware installed on the host system. 'DLL hell' is avoided through the use of isolated environments. Here is an example (the machine it is running on has the Nvidia drivers and a Nvidia GPU installed):

Issue - State: open - Opened by prafullasaxena over 5 years ago - 1 comment

#27 - lmbd and size arguments inverted in Poisson distribution

Issue - State: open - Opened by sanguinettib almost 6 years ago

#27 - lmbd and size arguments inverted in Poisson distribution

Issue - State: open - Opened by sanguinettib almost 6 years ago

#26 - 2-D QRNG not implemented

Issue - State: open - Opened by g13 almost 6 years ago

#26 - 2-D QRNG not implemented

Issue - State: open - Opened by g13 almost 6 years ago

#25 - Problem setting matrixtype in pyculib.sparse.Sparse.matdescr

Issue - State: open - Opened by matthieuheitz almost 6 years ago - 5 comments

#25 - Problem setting matrixtype in pyculib.sparse.Sparse.matdescr

Issue - State: open - Opened by matthieuheitz almost 6 years ago - 5 comments

#24 - NameError: name 'from_array_like' is not defined

Issue - State: open - Opened by t184256 almost 6 years ago

#24 - NameError: name 'from_array_like' is not defined

Issue - State: open - Opened by t184256 almost 6 years ago

#23 - Initialization of pyculib.sparse.Sparse( ) fail

Issue - State: open - Opened by ghost about 6 years ago - 2 comments

#23 - Initialization of pyculib.sparse.Sparse( ) fail

Issue - State: open - Opened by ghost about 6 years ago - 2 comments

#22 - Softening pyculib_sorting dependency

Issue - State: open - Opened by jakirkham over 6 years ago - 1 comment

#22 - Softening pyculib_sorting dependency

Issue - State: open - Opened by jakirkham over 6 years ago - 1 comment

#21 - pyculib.blas.Blas.gemv() returning wrong answers

Issue - State: closed - Opened by zachcristina over 6 years ago - 3 comments

#21 - pyculib.blas.Blas.gemv() returning wrong answers

Issue - State: closed - Opened by zachcristina over 6 years ago - 3 comments

#20 - Getting C pointer of pyculib.blas functions

Issue - State: closed - Opened by vss888 over 6 years ago - 1 comment

#20 - Getting C pointer of pyculib.blas functions

Issue - State: closed - Opened by vss888 over 6 years ago - 1 comment

#19 - library cusparse not found

Issue - State: open - Opened by RamIdavalapaati over 6 years ago - 14 comments

#19 - library cusparse not found

Issue - State: open - Opened by RamIdavalapaati over 6 years ago - 14 comments

#18 - CUDA 9 support ?

Issue - State: closed - Opened by jeng1220 over 6 years ago - 5 comments

#18 - CUDA 9 support ?

Issue - State: closed - Opened by jeng1220 over 6 years ago - 5 comments

#17 - Installation without conda on Windows

Issue - State: closed - Opened by peytondmurray over 6 years ago - 5 comments

#17 - Installation without conda on Windows

Issue - State: closed - Opened by peytondmurray over 6 years ago - 5 comments

#16 - Cannot get correct FFT results

Issue - State: open - Opened by GuillaumeLeclerc over 6 years ago

#16 - Cannot get correct FFT results

Issue - State: open - Opened by GuillaumeLeclerc over 6 years ago

#15 - added full documentation link for pyculib

Pull Request - State: closed - Opened by dee6600 over 6 years ago - 1 comment

#14 - addd CUDA-accelerated functions link

Pull Request - State: closed - Opened by dee6600 over 6 years ago - 1 comment

#13 - Simple matrix multiplication

Issue - State: closed - Opened by laytonjb almost 7 years ago - 1 comment

#13 - Simple matrix multiplication

Issue - State: closed - Opened by laytonjb almost 7 years ago - 1 comment

#12 - Solving a sparse system with "csrsv_solve" gives wrong result

Issue - State: closed - Opened by tryabin about 7 years ago - 5 comments

#11 - Add license to meta.yaml and accommodate Anaconda Inc

Pull Request - State: closed - Opened by stuartarchibald about 7 years ago

#11 - Add license to meta.yaml and accommodate Anaconda Inc

Pull Request - State: closed - Opened by stuartarchibald about 7 years ago

#10 - Passing device array to routines

Issue - State: open - Opened by mbarbry about 7 years ago - 7 comments

#9 - Add license and license_family to conda recipes

Issue - State: closed - Opened by seibert about 7 years ago

#9 - Add license and license_family to conda recipes

Issue - State: closed - Opened by seibert about 7 years ago

#8 - Remove CUDA toolkit version dependency.

Pull Request - State: closed - Opened by stuartarchibald over 7 years ago

#8 - Remove CUDA toolkit version dependency.

Pull Request - State: closed - Opened by stuartarchibald over 7 years ago

#7 - development question - ctypes or cffi?

Issue - State: open - Opened by lebedov over 7 years ago - 4 comments

#7 - development question - ctypes or cffi?

Issue - State: open - Opened by lebedov over 7 years ago - 4 comments

#6 - Try using conda in RTD.

Pull Request - State: closed - Opened by stuartarchibald over 7 years ago

#6 - Try using conda in RTD.

Pull Request - State: closed - Opened by stuartarchibald over 7 years ago

#5 - Fix docs build and minor edits.

Pull Request - State: closed - Opened by stuartarchibald over 7 years ago

#4 - nvGRAPH wrappers

Issue - State: open - Opened by seibert over 7 years ago

#3 - cuSOLVER wrappers

Issue - State: open - Opened by seibert over 7 years ago - 6 comments

#2 - release date

Pull Request - State: closed - Opened by electronwill over 7 years ago

#1 - WIP on port/migration

Pull Request - State: closed - Opened by stuartarchibald over 7 years ago

GitHub / numba/pyculib issues and pull requests