np.zeros(numPoints).astype(np.float32) distAddress = [gpuarray.to_gpu(dist).ptr for i in range(100)]buf = np.zeros(400).astype(np.float32) cuda.memcpy_dtoh(buf,distAddress[0]),( type(distAddress[0])是long),我得到以下错误:
cuda.memcpy_dtoh(buf
import pycuda.driver as cuda from pycuda.compiler import SourceModulematrices from host to device cuda.memcpy_htod(img_out_gpu, img_out)
cuda.memcpy_htod(
虽然我有5个CUDA线程,但我希望第一个线程等待其他四个线程完成运行并将增量添加到一个计数器中,因此第一个线程只有在其他4个线程完成并且计数器变为4时才会完成。raise RuntimeError("cl.exe still not found, path probably incorrect")
cuda.memcpy_htod(thread_done_count_gpu, thread_d