OpenCL矩阵乘法 - 得到错误的答案

时间:2012-10-21 16:57:20

标签: python opencl pyopencl

这是一个简单的OpenCL矩阵乘法内核,它让我发疯:

顺便说一句,我使用的是pyopencl。

__kernel void matrixMul(  __global int* C,
                          __global int* A,
                          __global int* B,
                          int wA, int wB){

                int row = get_global_id(1); //2D Threas ID x
                int col = get_global_id(0); //2D Threas ID y

                //Perform dot-product accumulated into value
                int value = 0;
                for ( int k = 0; k < wA; k++ ){
                    value += A[row*wA + k] * B[k*wB+col];
                }
                C[row*wA+col] = value; //Write to the device memory
            }

其中(输入)

A = [72 45
     75 61]
B = [26 53 
     46 76]
wA = wB = 2

我得到的输出:

有时我得到:

C = [3942 0
     0 5472]

我得到了:

C = [3942 7236
     3312 5472]

但输出应该是:

C = [3942 7236
     4756 8611]

我不知道我在这里犯了什么错误。我整整一天都没有运气。

请帮我解决这个问题

这是完整的python代码:

import pyopencl as cl
import numpy as np
import os

ORDER = 2
LEN = ORDER*ORDER
ctx = cl.create_some_context()

commandQueue = cl.CommandQueue( ctx )

A = np.array((72, 45, 75, 61), dtype = np.int32)
B = np.array((26, 53, 46, 76), dtype = np.int32)
C = np.empty_like(A)

in_buf1 = cl.Buffer( ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR,
                 hostbuf = A )
in_buf2 = cl.Buffer( ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR,
                 hostbuf = B )
out_buf = cl.Buffer( ctx, cl.mem_flags.WRITE_ONLY, C.nbytes )

kernelSrc1 = """__kernel void
            matrixMul(  /*const int Mdim,
                        const int Ndim,
                        const int Pdim,*/
                        __global int* C,
                        __global int* A,
                        __global int* B,
                        int wA, int wB)
           {
                int row = get_global_id(1); //2D Threas ID x
                int col = get_global_id(0); //2D Threas ID y                

                //Perform dot-product accumulated into value
                int value = 0;
                for ( int k = 0; k < wA; k++ ){
                    value += A[row*wA + k] * B[k*wB+col];
                }
                C[row*wA+col] = value; //Write to the device memory
            }"""

program1 = cl.Program(ctx, kernelSrc1 ).build()
event1 = program1.matrixMul( commandQueue, (LEN, ), None,
                     out_buf, in_buf1, in_buf2, np.int32(ORDER), np.int32(ORDER));
event1.wait()

cl.enqueue_copy(commandQueue, C, out_buf)
print C

我正在使用Python 2.7.x,pyopencl 2012.1,AMD APP SDK

1 个答案:

答案 0 :(得分:6)

您正在错误地设置全局大小参数。由于您在内核中使用全局大小的两个维度,因此需要将全局大小设置为(ORDER,ORDER)。当你改变它时,你得到:

[3942 7236
 4756 8611]