用pycuda实现numpy.argwhere函数处理三维数组

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

# 定义CUDA C kernel函数
mod = SourceModule("""
__global__ void argwhere(int* arr, int* indices, int dim0, int dim1, int dim2) {
    int tid = threadIdx.x + blockIdx.x * blockDim.x;
    if (tid < dim0 * dim1 * dim2) {
        int i = tid / (dim1 * dim2);
        int j = (tid / dim2) % dim1;
        int k = tid % dim2;
        if (arr[tid] != 0) {
            indices[tid * 3] = i;
            indices[tid * 3 + 1] = j;
            indices[tid * 3 + 2] = k;
        }
    }
}
""")

argwhere_kernel = mod.get_function("argwhere")

# 测试数据
a = np.array([[[0, 1, 0], [2, 0, 2]], [[1, 0, 0], [0, 3, 0]]], dtype=np.int32)

# 在GPU上执行kernel函数
indices = np.zeros((a.size, 3), dtype=np.int32)
argwhere_kernel(cuda.In(a), cuda.Out(indices), np.int32(a.shape[0]), np.int32(a.shape[1]), np.int32(a.shape[2]), block=(256, 1, 1), grid=(int(np.ceil(a.size/256)), 1, 1))

# 输出结果
print(indices)