Does cuda.jit support default values for arguments?

[Gao Shuhua]

Hi, everyone,

The normal @jit indeed supports default values for function arguments. (See here in the documentation.) However, it seems @cuda.jit does not allow default values. 

@cuda.jit

def just_test(N, K=10):

   pos = cuda.grid(1)

   if pos == 0:

       print(N, K)

If we run 

just_test[1, 1](100)

the following error happens:

TypeError: Failed in nopython mode pipeline (step: fix up args) Signature mismatch: 1 argument types given, but function takes 2 arguments

Does numba support default arguments in CUDA kernels? Or did I miss anything?

Thank you!

[Valentin Haenel]

Dear Gao,

I just tried the following snippet on a cuda enabled machine:

```

from numba import cuda

@cuda.jit
def just_test(N, K=10):
    pos = cuda.grid(1)
    if pos == 0:
        print(N, K)

try:
    just_test[1, 1](100)
except Exception as e:
    print(e)
else:
    print("no exception")

try:
    just_test[1, 1](100, K=1)
except Exception as e:
    print(e)
else:
    print("no exception")

try:
    just_test[1, 1](100, 1)
except Exception as e:
    print(e)
else:
    print("no exception")

````

The only invocation that works, is the last one. It seems like this might be a bug. Would you be so kind as to open an issue on our issue tracker:

https://github.com/numba/numba/issues

Thanks!

V-

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