#include "testutil.h"
static int test_multiheadattention_oom(const ncnn::Mat& q, const ncnn::Mat& k, const ncnn::Mat& v, int embed_dim, int num_heads, int attn_mask)
{
const int qdim = q.w;
const int kdim = k.w;
const int vdim = v.w;
ncnn::ParamDict pd;
pd.set(0, embed_dim);
pd.set(1, num_heads);
pd.set(2, embed_dim * qdim);
pd.set(3, kdim);
pd.set(4, vdim);
pd.set(5, attn_mask);
std::vector<ncnn::Mat> weights(8);
weights[0] = RandomMat(embed_dim * qdim);
weights[1] = RandomMat(embed_dim);
weights[2] = RandomMat(embed_dim * kdim);
weights[3] = RandomMat(embed_dim);
weights[4] = RandomMat(embed_dim * vdim);
weights[5] = RandomMat(embed_dim);
weights[6] = RandomMat(qdim * embed_dim);
weights[7] = RandomMat(qdim);
std::vector<ncnn::Mat> as(3);
as[0] = q;
as[1] = k;
as[2] = v;
if (attn_mask)
{
as.push_back(RandomMat(k.h, q.h));
}
int ret = test_layer_oom("MultiHeadAttention", pd, weights, as, 1);
if (ret != 0)
{
fprintf(stderr, "test_multiheadattention_oom failed q=(%d %d) k=(%d %d) v=(%d %d) embed_dim=%d num_heads=%d kdim=%d vdim=%d attn_mask=%d\n", q.w, q.h, k.w, k.h, v.w, v.h, embed_dim, num_heads, kdim, vdim, attn_mask);
}
return ret;
}
static int test_multiheadattention_0()
{
return 0
|| test_multiheadattention_oom(RandomMat(62, 66), RandomMat(32, 66), RandomMat(20, 66), 62, 2, 0)
|| test_multiheadattention_oom(RandomMat(26, 64), RandomMat(32, 64), RandomMat(18, 64), 26, 2, 1)
|| test_multiheadattention_oom(RandomMat(12, 17), RandomMat(28, 127), RandomMat(32, 127), 12, 3, 0)
|| test_multiheadattention_oom(RandomMat(12, 17), RandomMat(28, 32), RandomMat(11, 32), 12, 3, 1);
}
int main()
{
SRAND(7767517);
return test_multiheadattention_0();
}