The thing you can do is:

- Go to "Run/Debug configuration"
- Under "Environment" you can see "Enviroment variables"
- You have to set proper path to cuda. In my case it was: "LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64"

I am also disappointed, that it is not done by default by JetBrains team.

Answer:1

I think It's a cuda error. Cuda is not configured properly. Are you using tensorflow-gpu right??

Answer:2

- setting python pycharm
- change python pycharm
- python pycharm change interpreter
- python pycharm change working directory
- python pycharm change color
- python console settings pycharm
- setting python interpreter pycharm
- setting python path pycharm

So I am trying to understand partial: import functools def f(x,y) : print x+y g0 = functools.partial( f, 3 ) g0(1) 4 # Works as expected In: g1 = functools.partial( f, y=3 ) g1(1) 4 # ...

So I am trying to understand partial: import functools def f(x,y) : print x+y g0 = functools.partial( f, 3 ) g0(1) 4 # Works as expected In: g1 = functools.partial( f, y=3 ) g1(1) 4 # ...

From what i understand, 2.675 and numpy.float64(2.675) are both the same number. However, round(2.675, 2) gives 2.67, while round(np.float64(2.675), 2) gives 2.68. Why does this happen? import numpy ...

From what i understand, 2.675 and numpy.float64(2.675) are both the same number. However, round(2.675, 2) gives 2.67, while round(np.float64(2.675), 2) gives 2.68. Why does this happen? import numpy ...