mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 08:46:02 +08:00
nihui
75 lines
2.5 KiB
C++
75 lines
2.5 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2024 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#include "testutil.h"
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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)
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{
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const int qdim = q.w;
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const int kdim = k.w;
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const int vdim = v.w;
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ncnn::ParamDict pd;
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pd.set(0, embed_dim);
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pd.set(1, num_heads);
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pd.set(2, embed_dim * qdim);
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pd.set(3, kdim);
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pd.set(4, vdim);
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pd.set(5, attn_mask);
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std::vector<ncnn::Mat> weights(8);
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weights[0] = RandomMat(embed_dim * qdim);
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weights[1] = RandomMat(embed_dim);
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weights[2] = RandomMat(embed_dim * kdim);
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weights[3] = RandomMat(embed_dim);
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weights[4] = RandomMat(embed_dim * vdim);
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weights[5] = RandomMat(embed_dim);
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weights[6] = RandomMat(qdim * embed_dim);
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weights[7] = RandomMat(qdim);
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std::vector<ncnn::Mat> as(3);
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as[0] = q;
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as[1] = k;
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as[2] = v;
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if (attn_mask)
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{
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as.push_back(RandomMat(k.h, q.h));
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}
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int ret = test_layer_oom("MultiHeadAttention", pd, weights, as, 1);
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if (ret != 0)
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{
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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);
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}
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return ret;
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}
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static int test_multiheadattention_0()
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{
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return 0
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|| test_multiheadattention_oom(RandomMat(62, 66), RandomMat(32, 66), RandomMat(20, 66), 62, 2, 0)
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|| test_multiheadattention_oom(RandomMat(26, 64), RandomMat(32, 64), RandomMat(18, 64), 26, 2, 1)
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|| test_multiheadattention_oom(RandomMat(12, 17), RandomMat(28, 127), RandomMat(32, 127), 12, 3, 0)
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|| test_multiheadattention_oom(RandomMat(12, 17), RandomMat(28, 32), RandomMat(11, 32), 12, 3, 1);
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}
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int main()
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{
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SRAND(7767517);
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return test_multiheadattention_0();
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}
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