ncnn/tests/test_multiheadattention_oom.cpp

// Copyright 2024 Tencent
// SPDX-License-Identifier: BSD-3-Clause

#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();
}