Python 试图在类中编译内核,得到__init__()得到一个意外的关键字参数';内核&x27&引用;错误

Python 试图在类中编译内核,得到__init__()得到一个意外的关键字参数';内核&x27&引用;错误,python,c++,c,numpy,pyopencl,Python,C++,C,Numpy,Pyopencl,我正在从事一个openCL项目,以执行高效的矩阵和向量积 我使用的是\uuu init\uu方法,因为我使用的是openCL。我创建了上下文并设置了设备,但当我试图编译内核时,遇到了python错误。 这是我目前的代码: import numpy as np import pyopencl as cl class gigatron(object): def __init__(self): ctx=cl.create_some_context() dev

我正在从事一个openCL项目,以执行高效的矩阵和向量积

我使用的是
\uuu init\uu
方法,因为我使用的是openCL。我创建了上下文并设置了设备,但当我试图编译内核时,遇到了python错误。 这是我目前的代码:

import numpy as np
import pyopencl as cl

class gigatron(object):

    def __init__(self):
        ctx=cl.create_some_context()
        device=ctx.devices[0]
        queue=cl.CommandQueue(ctx,properties=cl.command_queue_properties.PROFILING_ENABLE)
        mf=cl.mem_flags

        #initialize CSR matrix and vector
        data=np.array([1, 2, 3, 4, 5, 6],dtype=np.float32)
        indices=np.array([0, 2, 2, 0, 1, 2],dtype=np.int32)
        indptr=np.array([0, 2, 3, 6],dtype=np.int32)
        vec=np.array([1,1,1],dtype=np.float32)
        matrix_shape=(3,3)
        size=np.array(vec.shape,dtype=np.int32)
        size_buf=cl.Buffer(ctx,mf.READ_ONLY|mf.COPY_HOST_PTR,hostbuf=size)

        #load above variables into CPU buffer
        data_buf=cl.Buffer(ctx,mf.READ_ONLY|mf.COPY_HOST_PTR,hostbuf=data)
        indices_buf=cl.Buffer(ctx,mf.READ_ONLY|mf.COPY_HOST_PTR,hostbuf=indices)
        indptr_buf=cl.Buffer(ctx,mf.READ_ONLY|mf.COPY_HOST_PTR,hostbuf=indptr)
        vec_buf=cl.Buffer(ctx,mf.READ_ONLY|mf.COPY_HOST_PTR,hostbuf=vec)
        out_buf=cl.Buffer(ctx,mf.WRITE_ONLY,vec.nbytes)
        #os.environ['PYOPENCL_COMPILER_OUTPUT'] = '1'

        prg = cl.Program(ctx,kernel="""
        __kernel void adder(const __global int *size,
                    const __global float *data,
                    const __global int *indices,
                    const __global int *indptr,
                    const __global float *vec,
                    __global float *out)
        {
        int i = get_global_id(0);
        if(i<size[0])
        {
        float dot=0.0;
        int nvals = indptr[i+1]-indptr[i];
        int start = indptr[i];
        int end = indptr[i+1];
        for(int j = start; j<end; j++)
        {
        dot+=data[j]*vec[indices[j]];
        }
        out[i]=dot;
        }
        }
        """).build()

        event=adder(queue,matrix_shape,None,size_buf,data_buf,indices_buf,indptr_buf,vec_buf,out_buf)
        event.wait()
        # create output array to copy buffer to 
        output=np.zeros(vec.shape,dtype=np.float32)

        # copy to output 
        cl.enqueue_copy(queue,output,out_buf)

        # print output 
        print(output)   

x = gigatron()

我不确定如何解决这个问题。我试着在init中把kernel作为参数输入,但它不起作用。请帮忙

错误说明,赋值
内核=
在函数参数中不起作用。要么把它拿走

prg = cl.Program(ctx,"""
    __kernel void adder(const __global int *size,
                const __global float *data,
                const __global int *indices,
                const __global int *indptr,
                const __global float *vec,
                __global float *out)
    {
    int i = get_global_id(0);
    if(i<size[0])
    {
    float dot=0.0;
    int nvals = indptr[i+1]-indptr[i];
    int start = indptr[i];
    int end = indptr[i+1];
    for(int j = start; j<end; j++)
    {
    dot+=data[j]*vec[indices[j]];
    }
    out[i]=dot;
    }
    }
    """).build()

这就解决了问题。非常感谢!
prg = cl.Program(ctx,"""
    __kernel void adder(const __global int *size,
                const __global float *data,
                const __global int *indices,
                const __global int *indptr,
                const __global float *vec,
                __global float *out)
    {
    int i = get_global_id(0);
    if(i<size[0])
    {
    float dot=0.0;
    int nvals = indptr[i+1]-indptr[i];
    int start = indptr[i];
    int end = indptr[i+1];
    for(int j = start; j<end; j++)
    {
    dot+=data[j]*vec[indices[j]];
    }
    out[i]=dot;
    }
    }
    """).build()
kernel = """
    __kernel void adder(const __global int *size,
                const __global float *data,
                const __global int *indices,
                const __global int *indptr,
                const __global float *vec,
                __global float *out)
    {
    int i = get_global_id(0);
    if(i<size[0])
    {
    float dot=0.0;
    int nvals = indptr[i+1]-indptr[i];
    int start = indptr[i];
    int end = indptr[i+1];
    for(int j = start; j<end; j++)
    {
    dot+=data[j]*vec[indices[j]];
    }
    out[i]=dot;
    }
    }
    """
prg = cl.Program(ctx, kernel).build()