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我有使用PyOpenCL添加多維數組的代碼。我的問題是,除了第一個維度外,結果都是錯誤的。我一直在諮詢這Link。PyOpenCL多維數組
from __future__ import absolute_import, print_function
import numpy as np
import pyopencl as cl
N = 4
a_np = np.random.rand(N,N).astype(np.float32)
b_np = np.random.rand(N,N).astype(np.float32)
ctx = cl.create_some_context()
queue = cl.CommandQueue(ctx)
mf = cl.mem_flags
a_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a_np)
b_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=b_np)
prg = cl.Program(ctx, """
__kernel void sum(
__global const float *a_g, __global const float *b_g, __global float *res_g) {
int i = get_global_id(1);
int j = get_global_id(0);
res_g[i,j] = a_g[i,j] + b_g[i,j];
}
""").build()
res_g = cl.Buffer(ctx, mf.WRITE_ONLY, a_np.nbytes)
prg.sum(queue, a_np.shape, None, a_g, b_g, res_g)
res_np = np.empty_like(a_np)
cl.enqueue_copy(queue, res_np, res_g)
# Check on CPU with Numpy:
print(res_np - (a_np + b_np))
print(np.linalg.norm(res_np - (a_np + b_np)))
print (res_np)
print (a_np + b_np)
矩陣1:
[[ 0.2990678 0.76585543 0.71866363 0.30202991]
[ 0.20604192 0.01989171 0.02402978 0.82826865]
[ 0.75456071 0.62410605 0.4374246 0.85372066]
[ 0.37000021 0.5734672 0.4250721 0.2456535 ]]
矩陣2:
[[ 0.83109927 0.53289926 0.24182947 0.39531609]
[ 0.53014964 0.62028325 0.2397541 0.03364789]
[ 0.83543158 0.1162187 0.21168791 0.22438531]
[ 0.2178313 0.76118374 0.23737679 0.41660839]]
預期結果:
[[ 1.13016701 1.29875469 0.96049309 0.69734597]
[ 0.73619157 0.64017498 0.26378387 0.86191654]
[ 1.58999228 0.74032474 0.64911252 1.07810593]
[ 0.5878315 1.33465099 0.66244888 0.6622619 ]]
腳本結果:
[[ 1.13016701 1.29875469 0.96049309 0.69734597]
[ 0. 0. 0. 0. ]
[ 0. 0. 0. 0. ]
[ 0. 0. 0. 0. ]]