Created
February 24, 2020 14:21
-
-
Save c200chromebook/4e0bdb672c2f1c3bfda251c71a478eff to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
@cuda.jit(device=True, debug=True) | |
def expensive(x): | |
return math.pow(x, 1.001) | |
@cuda.jit(device=True, debug=True) | |
def cheap(x): | |
return math.sqrt(x) | |
@cuda.jit(device=True, debug=True) | |
def calc(x): | |
s1 = expensive(x) | |
q = cheap(s1) | |
return q + 1 | |
@cuda.jit(device=True, debug=True) | |
def threadid(): | |
return cuda.blockDim.x * cuda.blockIdx.x + cuda.threadIdx.x | |
@cuda.jit(argtypes=[numba.int32[:]], debug=True) | |
def kernel(arr): | |
for i in range(1000): | |
arr[threadid()] = calc(arr[threadid()]) | |
def main(): | |
print("SUP") | |
z = np.array(range(0, 5000)) | |
print(z) | |
kernel[5000 // 128 + 1, 128](z) | |
print(z) | |
if __name__ == '__main__': | |
main() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment