自学教程：win10系统配置GPU版本Pytorch的详细教程

import pycuda.driver as drvimport pycuda.tools,pycuda.autoinit,numpyimport numpy.linalg as lafrom 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)) print(dest-a*b)