Lerking/Hands-On-GPU-Programming-with-CUDA-C-and-Python-3.x-Second-Edition
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Create simple_scalar_multiply_kernel.py

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Brian Tuomanen
2020-02-18 12:53:35 -08:00
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parent 557759227a
commit 6d52f71c26
1 changed files with 23 additions and 0 deletions
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Chapter04/simple_scalar_multiply_kernel.py Normal file
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import pycuda.autoinit
import pycuda.driver as drv
import numpy as np
from pycuda import gpuarray
from pycuda.compiler import SourceModule
ker = SourceModule("""
__global__ void scalar_multiply_kernel(float *outvec, float scalar, float *vec)
{
int i = threadIdx.x;
outvec[i] = scalar*vec[i];
}
""")
scalar_multiply_gpu = ker.get_function("scalar_multiply_kernel")
testvec = np.random.randn(512).astype(np.float32)
testvec_gpu = gpuarray.to_gpu(testvec)
outvec_gpu = gpuarray.empty_like(testvec_gpu)
scalar_multiply_gpu( outvec_gpu, np.float32(2), testvec_gpu, block=(512,1,1), grid=(1,1,1))
print("Does our kernel work correctly? : {}".format(np.allclose(outvec_gpu.get() , 2*testvec) ))