mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 16:55:13 +08:00
nihui
556b79ce4d
* create layer decoupled * no more virtual public * allow build test with shared library * decouple cpu vulkan * drop old scripts
123 lines
5.0 KiB
C++
123 lines
5.0 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) 2020 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_layernorm(const ncnn::Mat& a, int affine_size, float eps, int affine)
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{
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ncnn::ParamDict pd;
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pd.set(0, affine_size);
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pd.set(1, eps);
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pd.set(2, affine);
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std::vector<ncnn::Mat> weights(2);
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weights[0] = RandomMat(affine_size);
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weights[1] = RandomMat(affine_size);
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int ret = test_layer("LayerNorm", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_layernorm failed a.dims=%d a=(%d %d %d) affine_size=%d eps=%f affine=%d\n", a.dims, a.w, a.h, a.c, affine_size, eps, affine);
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}
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return ret;
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}
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static int test_layernorm_0()
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{
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return 0
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|| test_layernorm(RandomMat(6, 4, 2), 6, 0.01f, 0)
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|| test_layernorm(RandomMat(4, 5, 6), 4, 0.01f, 0)
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|| test_layernorm(RandomMat(3, 3, 8), 3, 0.002f, 0)
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|| test_layernorm(RandomMat(5, 6, 12), 5, 0.02f, 0)
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|| test_layernorm(RandomMat(4, 7, 16), 4, 0.02f, 0)
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|| test_layernorm(RandomMat(6, 7, 24), 6, 0.001f, 0)
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|| test_layernorm(RandomMat(5, 8, 32), 5, 0.001f, 0)
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|| test_layernorm(RandomMat(6, 4, 2), 6, 0.01f, 1)
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|| test_layernorm(RandomMat(4, 5, 6), 4, 0.01f, 1)
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|| test_layernorm(RandomMat(3, 3, 8), 3, 0.002f, 1)
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|| test_layernorm(RandomMat(5, 6, 12), 5, 0.02f, 1)
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|| test_layernorm(RandomMat(4, 7, 16), 4, 0.02f, 1)
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|| test_layernorm(RandomMat(6, 7, 24), 6, 0.001f, 1)
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|| test_layernorm(RandomMat(5, 8, 32), 5, 0.001f, 1);
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}
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static int test_layernorm_1()
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{
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return 0
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|| test_layernorm(RandomMat(6, 4, 2), 24, 0.01f, 0)
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|| test_layernorm(RandomMat(4, 5, 6), 20, 0.01f, 0)
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|| test_layernorm(RandomMat(3, 3, 8), 9, 0.002f, 0)
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|| test_layernorm(RandomMat(5, 6, 12), 30, 0.02f, 0)
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|| test_layernorm(RandomMat(4, 7, 16), 28, 0.02f, 0)
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|| test_layernorm(RandomMat(6, 7, 24), 42, 0.001f, 0)
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|| test_layernorm(RandomMat(5, 8, 32), 40, 0.001f, 0)
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|| test_layernorm(RandomMat(6, 4, 2), 24, 0.01f, 1)
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|| test_layernorm(RandomMat(4, 5, 6), 20, 0.01f, 1)
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|| test_layernorm(RandomMat(3, 3, 8), 9, 0.002f, 1)
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|| test_layernorm(RandomMat(5, 6, 12), 30, 0.02f, 1)
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|| test_layernorm(RandomMat(4, 7, 16), 28, 0.02f, 1)
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|| test_layernorm(RandomMat(6, 7, 24), 42, 0.001f, 1)
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|| test_layernorm(RandomMat(5, 8, 32), 40, 0.001f, 1);
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}
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static int test_layernorm_2()
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{
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return 0
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|| test_layernorm(RandomMat(4, 2), 4, 0.01f, 0)
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|| test_layernorm(RandomMat(5, 6), 5, 0.01f, 0)
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|| test_layernorm(RandomMat(3, 8), 3, 0.002f, 0)
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|| test_layernorm(RandomMat(6, 12), 6, 0.02f, 0)
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|| test_layernorm(RandomMat(4, 16), 4, 0.02f, 0)
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|| test_layernorm(RandomMat(7, 24), 7, 0.001f, 0)
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|| test_layernorm(RandomMat(8, 32), 8, 0.001f, 0)
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|| test_layernorm(RandomMat(4, 2), 4, 0.01f, 1)
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|| test_layernorm(RandomMat(5, 6), 5, 0.01f, 1)
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|| test_layernorm(RandomMat(3, 8), 3, 0.002f, 1)
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|| test_layernorm(RandomMat(6, 12), 6, 0.02f, 1)
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|| test_layernorm(RandomMat(4, 16), 4, 0.02f, 1)
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|| test_layernorm(RandomMat(7, 24), 7, 0.001f, 1)
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|| test_layernorm(RandomMat(8, 32), 8, 0.001f, 1);
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}
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static int test_layernorm_3()
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{
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return 0
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|| test_layernorm(RandomMat(2), 2, 0.01f, 0)
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|| test_layernorm(RandomMat(6), 6, 0.01f, 0)
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|| test_layernorm(RandomMat(8), 8, 0.002f, 0)
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|| test_layernorm(RandomMat(12), 12, 0.02f, 0)
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|| test_layernorm(RandomMat(16), 16, 0.02f, 0)
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|| test_layernorm(RandomMat(24), 24, 0.001f, 0)
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|| test_layernorm(RandomMat(32), 32, 0.001f, 0)
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|| test_layernorm(RandomMat(2), 2, 0.01f, 1)
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|| test_layernorm(RandomMat(6), 6, 0.01f, 1)
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|| test_layernorm(RandomMat(8), 8, 0.002f, 1)
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|| test_layernorm(RandomMat(12), 12, 0.02f, 1)
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|| test_layernorm(RandomMat(16), 16, 0.02f, 1)
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|| test_layernorm(RandomMat(24), 24, 0.001f, 1)
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|| test_layernorm(RandomMat(32), 32, 0.001f, 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 0
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|| test_layernorm_0()
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|| test_layernorm_1()
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|| test_layernorm_2()
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|| test_layernorm_3();
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}
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