pycuda能像C++/CUDA一样解析为无符号数组吗？

import pycuda.driver as cuda
import pycuda.autoinit
from pycuda.compiler import SourceModule
import numpy as np

# 定义 CUDA 内核
mod = SourceModule("""
__global__ void add_arrays(unsigned int *a, unsigned int *b, unsigned int *c, int size) {
    int idx = threadIdx.x + blockIdx.x * blockDim.x;
    if (idx < size) {
        c[idx] = a[idx] + b[idx];
    }
}
""")

add_arrays = mod.get_function("add_arrays")

# 创建输入和输出数组
size = 1024
a = np.random.randint(0, 100, size).astype(np.uint32)
b = np.random.randint(0, 100, size).astype(np.uint32)
c = np.zeros(size, dtype=np.uint32)

# 分配 GPU 内存
a_gpu = cuda.mem_alloc(a.nbytes)
b_gpu = cuda.mem_alloc(b.nbytes)
c_gpu = cuda.mem_alloc(c.nbytes)

# 将数据从 CPU 传输到 GPU
cuda.memcpy_htod(a_gpu, a)
cuda.memcpy_htod(b_gpu, b)

# 执行内核
block_size = 256
grid_size = (size + block_size - 1) // block_size
add_arrays(a_gpu, b_gpu, c_gpu, np.int32(size), block=(block_size, 1, 1), grid=(grid_size, 1))

# 将结果从 GPU 传输回 CPU
cuda.memcpy_dtoh(c, c_gpu)

print("Result:", c)