prafullasaxena

Results 1 comments of prafullasaxena

@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):

gpu result = [ 37.26496506 -17.86865234 1.58208275] cpu result = [ 37.26496506 -17.86865234 1.58208275] cpu result = [ 37.26496124 -17.86865044 1.58208275] How this answer is obtained in both gpu and...