PYCUDA 设置 NVCC 参数
PYCUDA setting NVCC arguments
如果我有任何小的 pycuda 代码,例如下面的代码,我如何访问 nvcc 编译器的选项?例如,如果我想设置 -maxrregcount 20(或任何其他参数),我将如何完成 >
import pycuda.autoinit
import pycuda.driver as drv
import numpy
from pycuda.compiler import SourceModule
mod = SourceModule("""
__global__ void multiply_them(float *dest, float *a, float *b)
{
const int i = threadIdx.x;
dest[i] = a[i] * b[i];
}
""")
multiply_them = mod.get_function("multiply_them")
a = numpy.random.randn(400).astype(numpy.float32)
b = numpy.random.randn(400).astype(numpy.float32)
dest = numpy.zeros_like(a)
multiply_them(
drv.Out(dest), drv.In(a), drv.In(b),
block=(400,1,1), grid=(1,1))
print dest-a*b
嗯,我发现答案很简单,我们需要做的就是添加下面的代码..
mod = SourceModule("""
__global__ void multiply_them(float *dest, float *a, float *b)
{
const int i = threadIdx.x;
dest[i] = a[i] * b[i];
}
""",options=['--maxrregcount=20'])
如果我有任何小的 pycuda 代码,例如下面的代码,我如何访问 nvcc 编译器的选项?例如,如果我想设置 -maxrregcount 20(或任何其他参数),我将如何完成 >
import pycuda.autoinit
import pycuda.driver as drv
import numpy
from pycuda.compiler import SourceModule
mod = SourceModule("""
__global__ void multiply_them(float *dest, float *a, float *b)
{
const int i = threadIdx.x;
dest[i] = a[i] * b[i];
}
""")
multiply_them = mod.get_function("multiply_them")
a = numpy.random.randn(400).astype(numpy.float32)
b = numpy.random.randn(400).astype(numpy.float32)
dest = numpy.zeros_like(a)
multiply_them(
drv.Out(dest), drv.In(a), drv.In(b),
block=(400,1,1), grid=(1,1))
print dest-a*b
嗯,我发现答案很简单,我们需要做的就是添加下面的代码..
mod = SourceModule("""
__global__ void multiply_them(float *dest, float *a, float *b)
{
const int i = threadIdx.x;
dest[i] = a[i] * b[i];
}
""",options=['--maxrregcount=20'])